Free computing course – Cetril http://cetril.org/ Mon, 20 Jun 2022 16:51:49 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://cetril.org/wp-content/uploads/2021/08/cropped-icon-32x32.png Free computing course – Cetril http://cetril.org/ 32 32 Charting a New Path of Neural Networks with Transformers https://cetril.org/charting-a-new-path-of-neural-networks-with-transformers/ Mon, 20 Jun 2022 16:51:49 +0000 https://cetril.org/charting-a-new-path-of-neural-networks-with-transformers/ A “transformer model” is a neural network architecture composed of transformer layers capable of modeling long-range sequential dependencies that are suitable for exploiting modern computing hardware to reduce model training time. State-of-the-art machine learning and artificial intelligence (AI) systems have made significant technological advancements in recent years, alongside the growing interest and widespread demand for […]]]>

A “transformer model” is a neural network architecture composed of transformer layers capable of modeling long-range sequential dependencies that are suitable for exploiting modern computing hardware to reduce model training time.

State-of-the-art machine learning and artificial intelligence (AI) systems have made significant technological advancements in recent years, alongside the growing interest and widespread demand for the technology. We have seen the general hype around AI fluctuate with media cycles and new product developments, with the buzz of implementing AI for the sake of implementing it fading as the companies strive to demonstrate its positive impact on business, with a focus on AI’s ability to augment, not replace.

The concept of transformer-based models is now emerging. There is speculation over whether Transformers, which have gained popularity in natural language processing (NLP), will be positioned to “take control” of AI, leaving many wondering what this approach can accomplish and how it could transform the pace and direction of technology. .

See also: How Businesses Can Integrate Natural Language Processing

Understanding Transformer-Based Models

A “transformer model” is a neural network architecture composed of layers of transformers capable of modeling long-range sequential dependencies, which are adapted to take advantage of modern computing hardware to reduce model training time.

Until recently, when scientists and machine learning developers were tasked with modeling sequences, such as transforming a series of English words into Spanish, Recurrent Neural Network (RNN) layers were the “go-to” approach. to” to encode the input sequence and decode the output sequence. Although RNNs have proven useful in identifying relationships between elements in sequences, some limitations limit their potential, such as the date they can be remembered in sequence. Thanks to research by Google and the University of Toronto in the published article “Attention Is All You Need”, the concept of self-attention has become a key ingredient in the transformer layers used in modern neural network models. .

Self-attention involves various projections of input data. It is often a sequence of words (represented as numeric vectors), each of which is projected into three new vectors: a ‘key’, a ‘query’ and a ‘value’. For a given word, say in language processing, its corresponding “query” is applied to the “key” of all other words in the sequence. This tells the model how relevant this other word is to this current word for the task at hand. By repeating this for each word in the sequence, you can produce a scoring heatmap of the relevance of different word combinations. This heat map is then used to control what information to do with each word that passes to the next layer of the network.

Let’s take an example of machine translation, where you are translating from German to English. If you have a German sentence in the future tense using the form “ich werde / I will”, the verb is sent at the end of the sentence, which does not happen in English. The self-attention mechanism in a transformer-based machine translation model will be much more capable of utilizing the dependency between these far word pairs than RNN-based models.

Encoder-only and encoder-decoder models

Transformer models are mainly used for two purposes: encoder-only models and encoder-decoder models.

An encoder-only model is best used when a developer wants to encode only a portion of the data into a compact list of numbers, often called embeddings that can be input into downstream models, like sentiment detection. Today, “Bi-Directional Encoder Representations from Transformers” (BERT) is the best-known encoder-based transformer model in the industry. BERT is trained using large volumes of unlabeled text data, with the goal of training being to predict words that have been masked in the input sequence. Such encoder-based models can be combined with other layers for classification purposes.

Alternatively, there are encoder-decoder models. These architectures are common in modern machine learning for specific use cases like machine translation. This comes into play when translating from languages ​​like French to English. The words are entered as the French language, which is processed through a sequence of “transformer layers”. The text is encoded in a compact digital form. Then the decoder part of the model takes the output of the encoder and sends it through a sequence of Transformer layers again to generate the English text, word by word, until it predicts the end of the sentence .

Will transformer-based models replace modern machine learning?

Transformer-based models have begun to have a significant impact outside of NLP. The so-called Vision Transformer (ViT) has achieved impressive accuracy in image classification tasks by treating small bits of an image as parts of a sequence like a phrase of words. They have also been extended to understanding video, for example, with approaches like timeSformer. TimeSformer uses self-attention to model relationships between patches in an image and with patches in other structures in the sequence. Transformer-based models are even now beginning to improve the accuracy of speech emotion recognition.

Despite their potential, transformer-based models have shortcomings. The self-attention part of transformer-based models has quadratic computational complexity for the input data size, which makes processing long sequences extremely expensive, in addition to being unsuitable for real-time processing. Imagine the challenges this poses, for example, with processing arbitrarily long phone conversations.

At the same time, concerns such as computational load and suitability for real-time stream processing are becoming increasingly active areas of research by this now very vibrant scientific community.

The field continues to be incredibly dynamic in developing new techniques and processes to overcome shortcomings. Previously, for example, fully connected deep-feedback networks could not effectively capture important features in images, leading to the widespread adoption of convolutional neural networks. With ongoing research, transformer functionality will continue to evolve as a key ingredient in modern machine learning models.

The future of transformer-based models

Interest in transformers is warranted because of widespread improvements in accuracy. These advances are likely to have less impact on the activation of new commercial applications. They will help existing and emerging apps improve at what they are designed to do and increase accuracy and adoption. Like many promising technologies today, building on the strengths of each creates the best possible results, similar to finding human-machine symbiosis in a workplace.

As we look to the future, it remains clear that organizations must not get lost in the hype of emerging technologies and overestimate their potential. The most promising path will be where organizations find synergies between processes, technologies and business goals to shape a cohesive and connected technology stack.

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Atrium Mortgage Investment Corporation Announces Normal Course Issuer Bid https://cetril.org/atrium-mortgage-investment-corporation-announces-normal-course-issuer-bid/ Thu, 16 Jun 2022 20:15:00 +0000 https://cetril.org/atrium-mortgage-investment-corporation-announces-normal-course-issuer-bid/ Toronto, Ontario–(Newsfile Corp. – June 16, 2022) – Atrium Mortgage Investment Corporation (TSX: AI) (TSX: AI.DB.C) (TSX: AI.DB.D) (TSX: AI.DB.E ) (TSX: AI.DB.F) (TSX: AI.DB.G) (“Atrium“) announced today that the Toronto Stock Exchange (the “TSX“) has accepted a notice filed by Atrium of its intention to make a normal course issuer bid (the “ORCN“) in […]]]>

Toronto, Ontario–(Newsfile Corp. – June 16, 2022) – Atrium Mortgage Investment Corporation (TSX: AI) (TSX: AI.DB.C) (TSX: AI.DB.D) (TSX: AI.DB.E ) (TSX: AI.DB.F) (TSX: AI.DB.G) (“Atrium“) announced today that the Toronto Stock Exchange (the “TSX“) has accepted a notice filed by Atrium of its intention to make a normal course issuer bid (the “ORCN“) in respect of its outstanding common shares.

The Notice provides that Atrium may, during the 12-month period beginning on June 24, 2022 and ending no later than June 23, 2023, purchase through the facilities of the TSX, other designated exchanges and/or other Canadian trading systems up to 3,000,000 Common Shares in aggregate, or 7.3% of the “public float” of Common Shares as of June 13, 2022. The price Atrium will pay for any Common Share will be the market price at the time of acquisition. During the term of this OPRC, Atrium may make purchases under the OPRC by means of open market operations. The actual number of common shares that may be purchased under the issuer bid and the timing of such purchases will be determined by Atrium’s senior management. The average daily trading volume from December 1, 2021 to May 31, 2022 was 39,239 common shares. Daily purchases under the issuer bid will generally be limited to 9,809 common shares, other than bulk purchases. All shares purchased by Atrium under the public tender offer will be cancelled.

As of June 13, 2022, there were 42,996,918 common shares of Atrium outstanding and the public float was 41,181,600 common shares.

Atrium may purchase its Common Shares, from time to time, if it believes that the market price of its Common Shares is attractive and that the purchase would be an appropriate use of Company funds and in the best interests of Atrium.

As part of the OPRCA, Atrium entered into an automatic share purchase plan (“ASPP“) from a Designated Broker to facilitate the purchase of Common Shares pursuant to the Issuer Bid, including at times when Atrium would not normally be permitted to purchase its Common Shares due to regulatory restrictions or self-imposed blackout periods. During blackout or blackout periods, purchases under the ESAP will be determined by the Designated Broker in its sole discretion based on purchase parameters established by Atrium in accordance with the Rules. of the TSX, applicable securities laws and the terms of the SEAP. The timing and amount of purchases under the issuer bid will be determined by Atrium’s senior management. The SEAP has been pre- approved by the TSX and will become effective on June 24, 2022, concurrently with the start of the tender offer All purchases made under the offer The ASPP will be included in the calculation of the number of common shares ac held under the public buyback offer.

About Atrium

First non-bank lender in Canada™

Atrium is a non-bank provider of residential and commercial mortgages that lends in major urban centers across Canada where real estate stability and liquidity is high. Atrium’s objectives are to provide its shareholders with stable and secure dividends and to preserve equity by lending within prudent risk parameters.

Atrium is a mortgage investment company (MIC) as defined in the income tax law (Canada), is therefore not taxed on income provided that its taxable income is paid to its shareholders in the form of dividends within 90 days of December 31 of each year. These dividends are generally treated by shareholders as interest income, so that each shareholder is in the same position as if the mortgage investments made by the company had been made directly by the shareholder. For more information, please see the regulatory filings available at www.sedar.com or Atrium’s website at www.atriummic.com.

Forward-looking statements

This press release contains statements that constitute “forward-looking statements” within the meaning of applicable securities laws, including, but not limited to, statements relating to future purchases of common stock under the issuer bid, including in accordance with the ASPP. Much of this information can be identified by words such as “expect”, “expected”, “will”, “estimated” or similar expressions suggesting future results or events. Atrium believes that the expectations reflected in such forward-looking statements are reasonable, but there can be no assurance that such expectations will prove to be correct and undue reliance should not be placed on such forward-looking statements.

Forward-looking statements are based on current information and expectations that involve a number of risks and uncertainties, which could cause actual results or events to differ materially from those anticipated. These risks include, but are not limited to, risks associated with Atrium’s financial condition and prospects; stability of general economic and market conditions; interest rate; the availability of cash for repurchases of outstanding common shares under the issuer bid; the existence of other uses of Atrium’s cash resources which may be greater than the realization of repurchases within the framework of the public repurchase offer; compliance by third parties with their contractual obligations; compliance with applicable laws and regulations relating to OPNA and ASPP; and other risks relating to Atrium’s business, including those identified in Atrium’s Annual Information Form for the year ended December 31, 2021 under the heading “Risk Factors” (a copy of which may be obtained at www. sedar.com) and subsequent filings. The forward-looking statements contained in this press release are made as of the date hereof and are subject to change. All forward-looking statements contained in this press release are qualified by these cautionary statements. Except as required by applicable securities laws, we neither intend nor undertake any obligation to update or revise the forward-looking statements contained in this press release to reflect information, subsequent events, results or circumstances or otherwise.

For more information, please contact

Robert G. Goodall
President and CEO

Jennifer Scoffield
Financial director

(416) 867-1053
info@atriummic.com
www.atriummic.com

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/128061

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CI Financial renews its normal course issuer bid and automatic securities purchase program https://cetril.org/ci-financial-renews-its-normal-course-issuer-bid-and-automatic-securities-purchase-program/ Thu, 16 Jun 2022 11:15:00 +0000 https://cetril.org/ci-financial-renews-its-normal-course-issuer-bid-and-automatic-securities-purchase-program/ TORONTO–(BUSINESS WIRE)–CI Financial Corp. (“CI”) (TSX: CIX, NYSE: CIXX) announced today that the Toronto Stock Exchange (“TSX”) has accepted its notice of intention to make a normal course issuer bid and an Automatic Securities Purchase Plan (“ASPP”). CI intends to purchase up to 16,828,703 of its common shares by way of a normal course issuer […]]]>

TORONTO–(BUSINESS WIRE)–CI Financial Corp. (“CI”) (TSX: CIX, NYSE: CIXX) announced today that the Toronto Stock Exchange (“TSX”) has accepted its notice of intention to make a normal course issuer bid and an Automatic Securities Purchase Plan (“ASPP”).

CI intends to purchase up to 16,828,703 of its common shares by way of a normal course issuer bid, through the facilities of the TSX and/or other systems Canadian trading venues or through any other means permitted by the relevant securities regulator. Common shares may be purchased by CI, or purchased by a trustee, to satisfy obligations under stock-based compensation plans or employee stock purchase plans for CI. All Common Shares purchased by CI (but not those purchased by such non-independent trustee or broker) will be cancelled. The 16,828,703 common shares represent 10% of CI’s total free float (168,287,039). As of June 8, 2022, there were 192,356,369 issued and outstanding common shares of CI.

It is expected that purchases under the normal course issuer bid may begin on June 20, 2022 and will end on June 19, 2023, or such earlier date as CI completes its purchases or provides a notice of termination. Purchases will be made through the facilities of the TSX at prevailing market prices or through any other means authorized by the Ontario Securities Commission or the Canadian Securities Administrators, and through parallel trading in Canada. CI is authorized to purchase up to 191,343 common shares per day, or 25% of the average daily trading volume of common shares for the six months ended May 31, 2022 (765,372).

CI believes that the market price of the common shares may, at times during the term of the normal course issuer bid, be undervalued depending on the financial performance and prospects of CI and, therefore, the Board of Directors believes that the purchase of Common Shares is an appropriate use of funds to enhance shareholder value.

Under its normal course issuer bid, CI obtained approval to purchase up to 18,194,790 of its common shares, of which CI, the trustee and non-independent broker, purchased 13 758,187 common shares at a weighted average price of $20.53 per common share between June 18, 2021 and June 8, 2022, through the facilities of the TSX and other Canadian trading systems.

CI has entered into an AESP with National Bank Financial Inc. (“NBF”) to permit the purchase of common shares under the issuer bid at times when CI would not normally be permitted to purchase its common shares due to regulatory restrictions or self-imposed actions. blackout periods.

Under the ASPP, prior to entering a blackout period, CI may, but is not required to, instruct NBF to make purchases under the OPRCA in accordance with the terms of the ‘ASPP. Such purchases will be determined by NBF in its sole discretion based on parameters established by CI prior to the blackout period in accordance with TSX rules, applicable securities laws and the terms of the ESAP. The ESAP has been pre-cleared by the TSX and will be implemented beginning June 20, 2022.

Outside of the pre-determined blackout periods, Common Shares may be purchased under the issuer bid at the discretion of CI’s management, in accordance with TSX rules and applicable securities laws. All purchases made pursuant to the AESP will be included in the calculation of the number of common shares purchased pursuant to the issuer bid.

About CI Financial

CI Financial Corp. is an integrated global wealth and asset management company. CI managed and advised approximately $354.6 billion in client assets as of April 30, 2022. CI’s principal asset management businesses are CI Global Asset Management (CI Investments Inc.) and GSFM Pty Ltd., and it operates in wealth management in Canada through CI Assante Wealth Management (Assante Wealth Management (Canada) Ltd.), CI Private Counsel LP, Aligned Capital Partners Inc., Northwood Family Office Ltd., CI Direct Investing ( WealthBar Financial Services Inc.) and CI Investment Services Inc.

CI’s US wealth management businesses include Barrett Asset Management, LLC, Balasa Dinverno Foltz LLC, Bowling Portfolio Management LLC, Brightworth, LLC, BRR OpCo, LLC (Budros, Ruhlin & Roe), The Cabana Group, LLC , Corient Capital Partners, LLC , CPWM, LLC (Columbia Pacific Wealth Management), Columbia Pacific Advisors, LLC, Congress Wealth Management LLC, Dowling & Yahnke, LLC, Doyle Wealth Management, LLC, Galapagos Partners, LP, GLASfunds, LLC, Gofen & Glossberg, LLC, Matrix Capital Advisors, LLC, McCutchen Group LLC, OCM Capital Partners, LLC, Portola Partners Group LLC, Radnor Financial Advisors, LLC, RegentAtlantic Capital, LLC, The Roosevelt Investment Group, LLC, RGT Wealth Advisors, LLC, RH Bluestein & Co., Segall Bryant & Hamill, LLC, Stavis & Cohen Private Wealth, LLC and Surevest LLC.

CI is listed on the Toronto Stock Exchange under CIX and on the New York Stock Exchange under CIXX. Further information is available at www.cifinancial.com.

This press release contains forward-looking statements regarding anticipated future events, results, circumstances, performance or expectations regarding CI Financial Corp. (“CI”) and its products and services, including its business operations, strategy and financial performance and condition. Forward-looking statements are generally identified by words such as “believe”, “expect”, “anticipate”, “plan”, “anticipate”, “intend”, “estimate”, “objective”, “plan” and “project” and similar references to future time periods, or conditional verbs such as “will”, “may”, “should”, “could”, or “would”. These statements are not historical facts, but rather represent management’s beliefs regarding future events, many of which, by their nature, are inherently uncertain and beyond management’s control, including the ability to maximize purchases of the OPRA. Although management believes that the expectations reflected in these forward-looking statements are based on reasonable assumptions, these statements involve risks and uncertainties. Important factors and assumptions applied in reaching the conclusions contained in these forward-looking statements include that the investment fund industry will remain stable and that interest rates will remain relatively stable. Factors that could cause actual results to differ materially from expectations include, but are not limited to, general economic and market conditions, including interest and currency exchange rates, global financial markets, changes in government regulations or tax laws, industry competition, technological developments and other factors described or discussed in CI’s disclosure documents filed with applicable securities regulatory authorities from time to time. The foregoing list is not exhaustive and the reader is urged to carefully consider these and other factors and not to place undue reliance on any forward-looking statements. Except as specifically required by applicable law, CI undertakes no obligation to update or modify any forward-looking statement after the date it is made, whether to reflect new information, future events or otherwise.

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D-Orbit charts an ambitious course for space logistics activities https://cetril.org/d-orbit-charts-an-ambitious-course-for-space-logistics-activities/ Wed, 15 Jun 2022 23:40:18 +0000 https://cetril.org/d-orbit-charts-an-ambitious-course-for-space-logistics-activities/ SAN FRANCISCO — Space logistics company D-Orbit announced on June 9 a $2 million contract with the European Space Agency to improve production of its ION satellite carrier. It was the latest victory for the Italian company with ambitious plans to offer a wide range of satellite services ranging from active debris removal to space-based […]]]>

SAN FRANCISCO — Space logistics company D-Orbit announced on June 9 a $2 million contract with the European Space Agency to improve production of its ION satellite carrier.

It was the latest victory for the Italian company with ambitious plans to offer a wide range of satellite services ranging from active debris removal to space-based cloud computing.

Under the contract, ESA will fund D-Orbit’s campaign to improve performance and reduce the cost of ION, the vehicle that transports cubesats and microsatellites from the point where a large rocket drops them to their desired orbital destinations. .

The growing popularity of rideshare flights like SpaceX Transporter missions is expected to drive demand for last-mile delivery. Euroconsult’s report on space logistics markets published in May forecasts 120 orbital transfer vehicles in service by 2031.

A dozen companies around the world design, develop and test orbital transfer vehicles. For now, D-Orbit is the only company with a flight-proven commercial vehicle, said Renato Panesi, Founder and Chief Commercial Officer of D-Orbit. SpaceNews.

D-Orbit first introduced its last-mile delivery service in 2020. Over six flights, D-Orbit carried more than 80 payloads into orbit, including 60 satellites deployed from ION and additional payloads hosted onboard .

D-Orbit also maintains a range of products and services for other space companies.

Beyond Gravity, for example, formerly called Ruag Space, awarded D-Orbit a contract in April to supply carbon fiber reinforced polymer tools and metal structural components for ESA’s Space Rider. Thales Alenia Space is the prime contractor for Space Rider, an unmanned laboratory designed to host technology demonstrations and science experiments in low Earth orbit, before returning payloads to Earth. The Space Rider vehicle will then be refurbished, refueled and loaded for another flight.

The Space Rider mission “is fully aligned with our vision to enable profitable commercial and human expansion in a sustainable space,” Panesi said.

In the long term, D-Orbit aims to dominate the space logistics market.

“The idea is to support the customer journey, from mission analysis to launch to decommissioning,” Panesi said. “It’s about having your assets positioned correctly when you want them to be.”

D-Orbit intends to offer satellite services including inspection, refueling and minor repairs.

“Perhaps we can consider active debris removal as part of the service, today in low Earth orbit, later in geostationary orbit, Panesi said. “In the distant future, we will see potential markets for on-orbit recycling and manufacturing.”

In the meantime, D-Orbit is laying the foundation for a space-based cloud computing business.

“If we manage to have an ION equipped with its own cloud computing suite and inter-satellite links, we can have a small constellation of nodes processing information,” Panesi said.

D-Orbit worked with Sweden’s Unibap to demonstrate a radiation-tolerant computer module onboard ION in 2021.

“One of the things that we will be testing later this year or early next year will be inter-satellite links, both optical and radio frequency,” Panesi said.

Financially, D-Orbit is preparing to merge with Breeze Holdings Acquisition Corp., a special purpose acquisition company, or SPAC. The merger is expected to close in the third quarter of this year.

Although SPACs are not as popular in the space sector as they were in 2021, Panesi remains confident that the deal will benefit D-Orbit.

“On the one hand, we get capital,” Panesi said. “On the other hand, we have a valuable partner to help us penetrate, one step at a time, the large American market.”

D-Orbit employs approximately 200 people, the majority of whom are based near the company’s headquarters in Como, Italy. Additionally, D-Orbit has offices in Portugal, the United Kingdom and Falls Church, Virginia.

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2-Day Biostatistics for Non-Statisticians Training Course (November 20-21, 2022) – ResearchAndMarkets.com https://cetril.org/2-day-biostatistics-for-non-statisticians-training-course-november-20-21-2022-researchandmarkets-com/ Mon, 13 Jun 2022 15:48:00 +0000 https://cetril.org/2-day-biostatistics-for-non-statisticians-training-course-november-20-21-2022-researchandmarkets-com/ DUBLIN–(BUSINESS WIRE)–The course “Biostatistics for non-statisticians training course” has been added to from ResearchAndMarkets.com offer. The goal of the seminar is to give you the information and skills to understand the concepts and statistical results applicable to clinical research, and to confidently pass the information on to others. Statistics are a useful decision-making tool in […]]]>

DUBLIN–(BUSINESS WIRE)–The course “Biostatistics for non-statisticians training course” has been added to from ResearchAndMarkets.com offer.

The goal of the seminar is to give you the information and skills to understand the concepts and statistical results applicable to clinical research, and to confidently pass the information on to others.

Statistics are a useful decision-making tool in the field of clinical research. When working in a field where a p-value can determine the next steps in the development of a drug or procedure, it is imperative that decision makers understand the theory and application of statistics.

Many statistical software are now available to professionals. However, this software was developed for statisticians and can often be intimidating to non-statisticians. How do you know if you’re pressing the right key, let alone if you’re performing the best test?

This seminar offers a non-mathematical introduction to biostatistics and is intended for non-statisticians. And it will benefit professionals who need to understand and work with study design and interpretation of results in a clinical or biotechnology setting.

The focus will be on actual statistical concepts (a), (b) application and (c) interpretation, not on mathematical formulas or analysis of actual data. A basic understanding of statistics is desired, but not necessary.

Learning objectives

  • Understand the statistical portions of most medical journal articles.

  • Do simple calculations, especially those that help interpret published literature.

  • Avoid being misled by foolish discoveries.

  • Know which test when, why and how.

  • Perform simple analyzes in statistical software.

  • Communicate statistical results more clearly to others.

Main topics covered:

DAY 1 :

Session 1: Why statistics

  • Do we really need statistical tests?

  • Sample vs Population

  • I am a statistician not a magician! What statistics can and cannot do

  • Descriptive statistics and measures of variability

Session 2: The multiple paths of interpretation

  • Confidence intervals

  • p-values

  • effect sizes

  • Clinical Significance vs Significant Significance

Session 3: Common Statistical Tests

  • Comparative tests

  • Regression analysis

  • Nonparametric techniques

Session 4: Bayesian logic

  • A different way of thinking

  • Bayesian methods and statistical significance

  • Bayesian applications to diagnostic tests

  • Bayesian applications to genetics

DAY 2:

Session 1: Systematic reviews and meta-analysis

  • Why do a systematic review and/or meta-analysis?

  • A bit of history and reasoning for systematic reviews and/or meta-analyses

  • Terminology

  • Steps in Conducting a Systematic Review

  • Steps in Conducting a Meta-Analysis

Session 2: Study power and sample size

  • Review of p-value, significance level, effect size

  • Formulas, software and other resources for calculating sample size

Session 3: Developing a Statistical Analysis Plan

  • Using FDA guidance as a foundation, learn the steps and criteria needed to develop a Statistical Analysis Plan (SAP).

  • A SAP template will be given to all participants.

Session 4: Specialized topics and other tests

  • Survival curves and Cox regression

  • Logistic regression

  • Take a holistic view to study design and interpretation

  • Non-parametric tests

  • Equivalence test

  • Non-inferiority test

  • Question and answer session

For more information on this training visit https://www.researchandmarkets.com/r/lnzo6l

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AWS Offers Free Online Cloud Computing Course for Students in India https://cetril.org/aws-offers-free-online-cloud-computing-course-for-students-in-india/ Thu, 09 Jun 2022 06:15:12 +0000 https://cetril.org/aws-offers-free-online-cloud-computing-course-for-students-in-india/ AWS will offer a free online course on cloud computing and machine learning to students across India studying at AICTE affiliated colleges AWS will offer a free online cloud computing course to students in India, a memorandum of understanding (MoU) that was signed recently. The Government of India’s Ministry of Education is working with Amazon […]]]>

AWS will offer a free online course on cloud computing and machine learning to students across India studying at AICTE affiliated colleges

AWS will offer a free online cloud computing course to students in India, a memorandum of understanding (MoU) that was signed recently. The Government of India’s Ministry of Education is working with Amazon Web Services (AWS) to impart skills in cloud computing and machine learning (ML) to higher education students in India. A Memorandum of Understanding has been signed between the All India Council for Technical Education (AICTE), a statutory body under the ministry, and Amazon Internet Services Private Limited (AISPL), which is responsible for the resale and marketing of AWS in India.

In addition to the free cloud computing online course, AWS will support the goal of educating students in cloud computing and machine learning through the AWS DeepRacer Student League. The AWS DeepRacer Student League aims to introduce higher education students to machine learning and inspire them to explore the technology. The competition offers participants an interesting and fun way to learn about machine learning and experiment with it by creating self-driving applications. This is the second student-focused AWS DeepRacer initiative in India, and is organized with the support of the Ministry of Education, AICTE and Intel. The competition is open to students over the age of 18 currently enrolled in tertiary institutions in India.

What will the AWS Free Cloud Computing Online Course cover?

As part of the MoU, AWS will provide students with access to AWS Educate, a program that offers self-paced online cloud learning resources and labs designed to help people learn, practice, and assess. cloud skills. The program’s easy-to-navigate and adaptive user experience guides learners to targeted training content based on their knowledge, goals and interests. Some of the topics that will be covered are:

  • Introduction to the AWS Management Console.
  • Introduction to Cloud 101.
  • Machine learning basis.
  • Introduction to AWS DeepRacer.

Sunil PP, Head of Education, Space and Nonprofits, Amazon Internet Services Private Limited, AWS India and South Asia, said, “During the pandemic, we have seen organizations from all sizes accelerate their multi-year digital transformation plans, driving an increased need for employers and their employees to advance professional training for cloud computing, cybersecurity, and machine learning. AWS recognizes this as a national priority, and announcing the MoU with the Ministry of Education is part of our continued commitment to support the government in developing Indian tech talent and strengthening the country’s digital economy. Interested participants can register for the AWS Free Online Course using their email address.

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IIT Madras invites applications from students for a free 8-week online course in Data Science https://cetril.org/iit-madras-invites-applications-from-students-for-a-free-8-week-online-course-in-data-science/ Thu, 09 Jun 2022 05:45:27 +0000 https://cetril.org/iit-madras-invites-applications-from-students-for-a-free-8-week-online-course-in-data-science/ IIT Madras is offering a free online course called Data Science for Engineers on NPTEL platform for students IIT Madras invited applications from undergraduate and postgraduate students as well as anyone interested in a free online course in data science. The course entitled “Data Science for Engineers” aims to introduce participants to R as a […]]]>

IIT Madras is offering a free online course called Data Science for Engineers on NPTEL platform for students

IIT Madras invited applications from undergraduate and postgraduate students as well as anyone interested in a free online course in data science. The course entitled “Data Science for Engineers” aims to introduce participants to R as a programming language and to the mathematical foundations required for data science. Students will also be introduced to entry-level data science algorithms, a data analysis problem-solving framework, and a hands-on case study.

The course will be led by Professor Rengaswamy, Professor of Chemical Engineering and Co-Lead of the Process Control and Optimization Consortium at Texas Tech University, Lubbock, USA. He was also Professor and Associate Professor at Clarkson University, USA and Adjunct Professor at IIT Bombay. Professor Shankar Narasimhan, currently a professor in the Department of Chemical Engineering at IIT Madras, will also attend the course.

What Will IIT Madras Data Science Free Online Course Offer?

The following topics will be covered in the free online data science course:

  • Course philosophy and introduction to R.
  • Linear algebra for data science.
  • Algebraic view: vectors, matrices, product of a matrix and a vector, rank, null space, solution of an overdetermined and pseudo-inverse set of equations.
  • Geometric view: vectors, distance, projections and eigenvalue decomposition.
  • Statistics such as descriptive statistics, notion of probability, distributions, mean, variance, covariance, covariance matrix, understanding univariate and multivariate normal distributions, introduction to hypothesis testing, confidence interval for estimates.
  • Optimization: typology of data science problems and a solution framework, and simple linear regression and verification assumptions used in linear regression.
  • Multivariate linear regression, model evaluation, evaluation of the importance of different variables and selection of subsets.
  • Classification by logistic regression.
  • Classification using kNN and k-means clustering.

Results of IIT Madras Free Online Data Science Course

Some of the outcomes that IIT Madras aims to achieve through the course are:

  • Describe a flow process for data science problems.
  • Classify data science problems into a standard typology.
  • Develop R codes for data science solutions.
  • Correlate the results to the solution approach followed.
  • Assess the approach to the solution.
  • Build use cases to validate the approach and identify necessary modifications.

Important Details of IIT Madras Free Online Data Science Course

Interested and eligible candidates will need to register for the course by August 1, 2022, and the course will be available on the NPTEL platform from July 25 to September 16, 2022. Although the course is free, those who wish to obtain certificates will have to pay Rs 1000 and take an exam on September 25, 2022. Those interested in learning more about the course are welcome to drop by the official page for more information.

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Two-Day Virtual Course: Reducing Data Integrity Compliance Costs: 21 CFR Part 11, SaaS/Cloud, EU GDPR – July 19-20, 2022 – ResearchAndMarkets.com https://cetril.org/two-day-virtual-course-reducing-data-integrity-compliance-costs-21-cfr-part-11-saas-cloud-eu-gdpr-july-19-20-2022-researchandmarkets-com/ Tue, 07 Jun 2022 16:42:00 +0000 https://cetril.org/two-day-virtual-course-reducing-data-integrity-compliance-costs-21-cfr-part-11-saas-cloud-eu-gdpr-july-19-20-2022-researchandmarkets-com/ DUBLIN–(BUSINESS WIRE)–Training “Reducing Compliance Costs with Data Integrity: 21 CFR Part 11, SaaS/Cloud, EU GDPR” has been added to from ResearchAndMarkets.com offer. This highly interactive two-day course uses real-world examples and explores proven techniques for reducing the costs, typically by two-thirds, associated with implementing and maintaining IT systems in regulated environments. It details the requirements […]]]>

DUBLIN–(BUSINESS WIRE)–Training “Reducing Compliance Costs with Data Integrity: 21 CFR Part 11, SaaS/Cloud, EU GDPR” has been added to from ResearchAndMarkets.com offer.

This highly interactive two-day course uses real-world examples and explores proven techniques for reducing the costs, typically by two-thirds, associated with implementing and maintaining IT systems in regulated environments.

  • It details the requirements of Part 11 and Annex 11: SOP, software product functionality, infrastructure qualification and validation.

  • The instructor covers the latest computer systems industry standards for data security, data transfer, audit trails, electronic records and signatures, software validation, and computer system validation .

  • Understand the specific requirements associated with on-premises and SaaS/cloud hosting solutions.

  • Almost all computerized systems used in laboratories, clinics, manufacturing and the quality process must be validated. Participants learn how to reduce software implementation time and cost by using a 10-step risk-based approach to validating IT systems.

  • The instructor reviews recent FDA inspection trends and explains how to streamline document creation, review, review, and approval.

  • Participants will learn how to write a data privacy statement to comply with the EU General Data Protection Regulation (GDPR).

  • This course benefits anyone who uses computer systems to perform their professional tasks and is ideal for professionals working in the healthcare, clinical trials, biopharmaceutical and medical device industries. It is essential for software vendors, auditors and quality personnel involved in GxP applications.

Learning objectives:

  • Reduce costs, typically by two-thirds, for electronic records compliance

  • Learn how to use electronic records and electronic signatures to maximize productivity

  • Understand what is expected from Part 11 and Schedule 11 inspections in order to be prepared

  • Avoid 483 and Warning Letters

  • Understand the specific responsibilities and tasks of your staff, including IT and quality assurance

  • Understand your responsibilities and obligations when using SaaS/cloud

  • Learn how to perform risk-based IT system validation using fillable templates

  • How to select resources and manage validation projects

  • “Right-size” change control methods that enable fast and safe system evolution

  • Minimize validation documentation to reduce costs without increasing regulatory or business risk

  • Learn how to reduce test time and write test cases that trace the elements of risk management

  • Learn how to comply with data privacy requirements

  • Learn how to purchase COTS software and qualify suppliers

  • Protect intellectual property and keep electronic records safe

Main topics covered:

Day 01 (9:00 a.m. – 3:00 p.m. PDT)

  • Introduction to the FDA (1h)

    • How regulation helps your business succeed

    • What data and systems are subject to Part 11.

  • 21 CFR Part 11/Annex 11 – Compliance with Electronic Records and Signatures (3h30)

    • What Part 11 means to you, not just what it says in the regulations

    • Avoid 483 and Warning Letters

    • Explore the four main areas of Part 11 compliance: SOPs, software product functionality, infrastructure qualification, and validation documentation

    • How SaaS/cloud computing changes qualification and validation

    • Ensure data integrity and security and protect intellectual property

    • Understand current IT systems industry standards for security, data transfer, and audit trails

    • Electronic signatures, digital pens and biometric signatures

    • IT Infrastructure Required SOPs

    • Product Features to Look for When Purchasing COTS Software

    • Reduce validation resources by using easy-to-understand validation documents.

  • The Five Keys to COTS Computer System Validation (30 min)

    • The who, what, where, when and why of CSV

  • The validation team (30 min)

    • How to select team members

    • How to lead a validation project

Day 02 (9:00 a.m. – 3:00 p.m. PDT)

  • Ten-Step Process for COTS Risk-Based Computer System Validation (1:30 hrs)

    • Find out which documents the FDA plans to review.

    • How to use the risk-based validation approach to reduce costs.

    • How to link requirements, specifications, risk management and testing.

    • Document an IT system validation project with easy-to-understand fillable templates.

    • Based on: “Risk-Based Software Validation – Ten Easy Steps” (Davis Horwood International and PDA

  • How to write requirements and specifications (30 min)

    • Workshop for writing the requirements then their extension for the specifications

  • How to Conduct a Hazard Analysis/Risk Assessment Exercise (30 mins)

    • Step-by-step instructions for performing and documenting a risk assessment, and how to use the results to reduce validation documentation.

  • Software testing (1 hr)

    • Reduce testing by writing test cases that trace the elements of risk management.

    • How to write effective test cases

  • How to Write a Data Privacy Statement (30 mins)

    • How to meet EU GDPR requirements

  • Buy COTS software (30 min)

    • How to Buy COTS Software and Evaluate Software Vendors

  • Reducing Costs Without Increasing Regulatory or Business Risks (1 hr)

    • How to save money

    • How to increase the quality

    • How to increase compliance with less documentation

For more information on this training visit https://www.researchandmarkets.com/r/6z11i5

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Disruptive Technology – Staying the Course in Volatile Markets https://cetril.org/disruptive-technology-staying-the-course-in-volatile-markets/ Fri, 03 Jun 2022 12:40:15 +0000 https://cetril.org/disruptive-technology-staying-the-course-in-volatile-markets/ Here, we review the risk factors, opportunities, and key areas of debate. We also take a closer look at the potential of semiconductors as a key foundational technology for digital transformation.[1] Risk factors Several major risks remain for growth and technology stocks. We have seen a significant rotation from growth stocks to value stocks, largely […]]]>

Here, we review the risk factors, opportunities, and key areas of debate. We also take a closer look at the potential of semiconductors as a key foundational technology for digital transformation.[1]

Risk factors

Several major risks remain for growth and technology stocks.

We have seen a significant rotation from growth stocks to value stocks, largely due to rising inflation and rising interest rates. This rotation could continue.

Many high-growth companies that invest heavily in product and sales capacity are longer-lived assets with more of their cash flow generation projected farther into the future than is the case with companies with more stable growth and value. These stocks have recently suffered a significant contraction in their price/earnings multiple.

Recession risk is rising as the US Federal Reserve and other central banks tighten financial conditions to fight inflation. In addition, the Russian-Ukrainian conflict and associated sanctions against Russia are creating macroeconomic headwinds. Tariffs, Covid-19 response measures, semiconductor shortages and freight bottlenecks are all fueling supply chain disruptions.

Finally, in the “Big Tech” sector, there are risks associated with antitrust and other forms of regulation.

Positive trends

Despite these risks, we see many reasons for optimism. We are confident in several long-term secular growth themes that are fueling the digital transformation of the economy. We believe companies will continue to invest if they see digital transformation as an imperative to stay competitive.

For example, the adoption of cloud computing continues to accelerate. IT research and consultancy Gartner raised its projection for 2022 to $500 billion, 37% higher than the level projected in November 2020.

Additionally, we are witnessing the growing adoption of artificial intelligence (AI), which is becoming a foundational technology with a proliferation of applications, automation, the Internet of Things (including edge processing – the processing data closer to its source to reduce delays by minimizing communication time between “clients” and servers), and financial technology.

Disruptive technology trends enable the creation of new products, services and business models. They make operations more efficient. In short, they are transforming the way we live and work.

Key debates

One of the main debates in the sector is to what extent the increased demand of the first two years of the pandemic is sustainable. For example, e-commerce growth is returning to pre-Covid levels as shopping and in-person experiences resume.

A second major issue is whether valuations have been squeezed “enough”. We are seeing attractive valuations across all of the companies we monitor. We believe companies that lead and/or benefit from digital transformation and associated secular growth themes will deliver strong revenue, earnings and free cash flow growth over a long investment horizon.

Most of the multiple compression comes from the higher growth cohort, where multiples are now down 72% to 10.6x, based on data from companies expected to grow annual revenue by 30% or more . The slower growth cohort (projected annual sales growth of 15% or less) is now trading at 4.4x, which is 20% below the average of the past 5 years and in line with the 2014-2018 average.[2]

Out of Consensus – Semiconductor Super Cycle

In the semiconductor segment, we strongly believe that the secular growth drivers are so compelling that any inventory correction is likely to be short-lived and unlikely to impact all industry segments simultaneously. We are comfortable with our overweight position to maintain our exposure to positive long-term trends.

Currently, demand for semiconductors far exceeds supply despite evidence of slowing sales of personal computers and smartphones. Thus, the industry might be able to absorb a mild recession without falling into oversupply.

We believe that the main drivers of increased demand for semiconductors are the secular growth trends that underpin digital transformation. Semiconductors are a fundamental technology for cloud, AI, automation and IoT. Industry end markets have expanded from mainframes to PCs, smartphones, and now diverse industrial, automotive, and high-performance computing applications.

This diversification helps to reduce volatility in industry demand because no single end market dominates.

On the supply side, the structure of the semiconductor industry has improved significantly. The advent and success of the foundry business model enabled innovation and concentrated manufacturing among fewer companies.

The supply of memory chips has also been consolidated with a handful of manufacturers. This has resulted in more strategic capacity decisions and less risk of structural oversupply. Growing capital intensity and technological complexity are significant obstacles for new entrants.

Looking ahead, we see the potential for continued strong growth for the semiconductor industry, driven by automotive and high performance computing (HPC) applications.

Secular growth and attractive valuations

In recent months, the market environment has been difficult for growth and technology investors due to macroeconomic headwinds.

However, the digital transformation of the economy will continue and we remain constructive on the secular growth drivers that underpin this trend. Valuations look more attractive following the recent correction and we remain committed to our investment philosophy.

References

[1] Also listen to Talking heads – Staying the course despite the volatility of disruptive technologies – Investors’ Corner (bnpparibas-am.com) with Pamela Hegarty

[2] Morgan Stanley, Keith Weiss – May 15, 2022 – ‘Evaluation views 15-05-2022: Bouncing off the bottom

Disclaimer

Please note that articles may contain technical language. For this reason, they may not be suitable for readers without professional investment experience.

All opinions expressed herein are those of the author as of the date of publication, are based on available information, and are subject to change without notice. Individual portfolio management teams may have different views and make different investment decisions for different clients. This document does not constitute investment advice.

The value of investments and the income from them can go down as well as up and investors may not get back their initial investment. Past performance does not guarantee future returns.

Investing in emerging markets, or in specialized or restricted sectors is likely to be subject to above average volatility due to a high degree of concentration, greater uncertainty as less information is available, there is less liquidity or due to greater sensitivity to changes in market conditions (social, political and economic conditions). Some emerging markets offer less security than the majority of developed international markets. For this reason, portfolio transaction, liquidation and custody services on behalf of funds investing in emerging markets may involve greater risk.

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IIT-K Launches e-Masters Course in Communication Systems https://cetril.org/iit-k-launches-e-masters-course-in-communication-systems/ Wed, 01 Jun 2022 17:21:10 +0000 https://cetril.org/iit-k-launches-e-masters-course-in-communication-systems/ The Indian Institute of Technology, Kanpur (IIT-K), has developed an e-Masters in Communication Systems. The program is a blend of theory and application and focuses on signal processing and communication systems, to ensure professionals are prepared for application-oriented work. “It enables professionals to learn how to develop systems and processes for all 5G-enabled technologies,” IIT-K […]]]>

The Indian Institute of Technology, Kanpur (IIT-K), has developed an e-Masters in Communication Systems.

The program is a blend of theory and application and focuses on signal processing and communication systems, to ensure professionals are prepared for application-oriented work.

“It enables professionals to learn how to develop systems and processes for all 5G-enabled technologies,” IIT-K officials said.

“The degree includes IIT-K campus tour, mentoring, career support, placement cell access, and incubation support, they added.

“Professionals who enroll in the degree now will become key drivers in the force of India’s 5G revolution. The degree will help them gain the 360-degree expertise needed to shape and build the country’s communications future” , officials said.

According to a press release issued by IIT-K, “The final application window for the degree is open until June 3, 2022. Interested candidates can visit https://emasters.iitk.ac.in/ to learn more. learn more about the program and apply.’

According to the statement, the program designed and developed by the Department of Electrical Engineering at IIT-K, the degree aims to train professionals to design modern communication systems based on 5G, 6G and edge computing platforms.

The executive-friendly format provides great flexibility for professionals to complete the degree in 1 to 3 years, the IIT-K statement said.

“Nearly 22 million skilled workers will be needed by 2025 and communications technology is expected to contribute $450 billion to the country’s economy over the next 15 years. There will be an increasing demand for a highly skilled workforce for 5G and related technologies to serve the communications ecosystem,” the statement from IIT-K said.

IIT Kanpur was commissioned to develop the baseband unit (BBU) of the 5G NR base station, as part of the test bed.

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