Shining A Spotlight On Corporate Readiness Through The Lens Of Learning And Development

CEO of AllenComm since 2003.

Corporate leaders have long understood that demonstrating value to shareholders must include navigating and managing change. From the early days of Kurt Lewin’s change management model, it has been well understood that companies need to adequately prepare for both sudden unexpected shifts and gradual changes.

The current economic and health crises have propelled organizations toward long-overdue examinations of the role of employee training and development in shaping corporate readiness. It’s often said that 70% of change initiatives fail. While the Harvard Business Review has estimated that number is actually around 10%, it should still be no surprise that failure to adapt to changes due to the coronavirus can have far-reaching ramifications for employees and stockholders.

Although industries have seen several sudden disruptions due to advancements in technology, sudden changes due to Covid-19 have revealed unexpected challenges. Some organizations quickly overcame or adapted to these

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Machine learning model helps characterize compounds for drug discovery

chemical
Credit: CC0 Public Domain

Tandem mass spectrometry is a powerful analytical tool used to characterize complex mixtures in drug discovery and other fields.


Now, Purdue University innovators have created a new method of applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the development of new drugs. Their work is published in Chemical Science.

“Mass spectrometry plays an integral role in drug discovery and development,” said Gaurav Chopra, an assistant professor of analytical and physical chemistry in Purdue’s College of Science. “The specific implementation of bootstrapped machine learning with a small amount of positive and negative training data presented here will pave the way for becoming mainstream in day-to-day activities of automating characterization of compounds by chemists.”

Chopra said there are two major problems in the field of machine learning used for chemical sciences. Methods used do not provide chemical understanding

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Scientists discover the unique signature of a lion’s roar using machine learning

Scientists discover the unique signature of a lion’s roar using machine learning
Credit: University of Oxford

The roar of a lion is one of the most thrilling and captivating sounds of the wild. This characteristic call is typically delivered in a bout consisting of one or two soft moans followed by several loud, full-throated roars and a terminating sequence of grunts.


A team of scientists based in WildCRU at the University of Oxford, well-known for their research involving Cecil the Lion, has teamed up with colleagues in the Department of Computer Science to discover the precise ways in which each lion’s roar is distinct, identifiable and trackable.

Harnessing new machine learning techniques, the group designed a device, known as a biologger, which can be attached to an existing lion GPS collar to record audio and movement data. The biologgers allow the scientists to confidently associate each roar with the correct lion by cross-referencing movement and audio data through the large datasets of

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Pawtucket learning center champions equity through arts, sports, and technology

Question: When was ASTRO founded and what is its mission?

My cousin Michael and I founded ASTRO in 2014. Our mission is to champion equity among diverse populations by innovating health-promoting programs that improve the way people live, learn, work, and play.

Q: On Oct. 5, the Social Enterprise Greenhouse announced that it was providing ASTRO with a $25,000 loan. What will you use the money for?

Funds acquired through this loan will provide working capital for ASTRO to expand our operations and offer day care services to adult populations. We originally started out in adult services, but the community need that took precedence was providing a safe place for kids to be during the out-of-school time, and this is where we have focused the majority of our efforts over the years.

Now that many adults have been displaced from their day programs due to COVID-19 restrictions on numbers, there

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Data analysis certification: Become a better data analyst with this $40 deep learning bundle

Big data means big opportunities. Take a list at the fastest-growing jobs all over the world and you’ll find something in common: most of them have to do with handling data. Whether it’s developing artificial intelligence, engineering the systems that capture and process data, or providing business-focused analysis of that information, the careers that are hiring all expect you to know how to work with big data.

Lucky for you, the Deep Learning and Data Analysis Certification Bundle is here. This collection of courses has been curated to pick the best, most relevant lessons that will help you build up your credibility and find work within these rapidly expanding fields. A career change might be just around the corner for you. It all starts with this $39.99 bundle.

Leverage data in your business

There isn’t a sector out there that couldn’t benefit from understanding how to work with big data.

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Robotic Interviews, Machine Learning And the Future Of Workforce Recruitment

These would affect all aspects of HR functions such as the way HR professionals on-board and hire people, and the way they train them

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4 min read

Opinions expressed by Entrepreneur contributors are their own.


You’re reading Entrepreneur India, an international franchise of Entrepreneur Media.

Artificial intelligence (AI) is changing all aspects of our lives and that too at a rapid pace. This includes our professional lives, too. Experts expect that in the days ahead, AI would become a greater part of our careers as all companies are moving ahead with adopting such technology. They are using more machines that use AI technology that would affect our daily professional activities. Soon enough, we would see machine learning and deep learning in HR too. It would affect all aspects of HR (human resources) such

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Why Enterprises Should Invest in Cloud Learning for Staff

With the rise in remote work, the cloud industry has experienced extraordinary growth, largely due to enterprise businesses transitioning their physical IT infrastructure to the cloud. Along with this rapid expansion into cloud technology comes the need for a workforce with cloud expertise.

At the moment, the IT needs are changing faster than the employees in charge of these programs can handle. In fact, only 56% of cloud leaders report having an actionable plan to upskill their workforce in cloud environments.

The lack of planning surrounding employee training is only one of the pain points that comes with navigating the complexity of the cloud. Other barriers to success include a lack of internal skills and knowledge, balancing competing priorities with day-to-day work, and providing enough time for employees to study the ins and outs of the major cloud providers, while also doing their existing full-time jobs. 

A Cloud Guru, which

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Deep learning enables identification and optimization of RNA-based tools for myriad applications

Deep learning takes on synthetic biology
Credit: Wyss Institute at Harvard University

DNA and RNA have been compared to “instruction manuals” containing the information needed for living “machines” to operate. But while electronic machines like computers and robots are designed from the ground up to serve a specific purpose, biological organisms are governed by a much messier, more complex set of functions that lack the predictability of binary code. Inventing new solutions to biological problems requires teasing apart seemingly intractable variables—a task that is daunting to even the most intrepid human brains.


Two teams of scientists from the Wyss Institute at Harvard University and the Massachusetts Institute of Technology have devised pathways around this roadblock by going beyond human brains; they developed a set of machine learning algorithms that can analyze reams of RNA-based “toehold” sequences and predict which ones will be most effective at sensing and responding to a desired target sequence. As reported in

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TEA Announces Additional Innovative Learning Solutions for K-12 English and Spanish, and K-5 Science to Support Schools Across Texas

TEA Announces Additional Innovative Learning Solutions for K-12 English and Spanish, and K-5 Science to Support Schools Across Texas

PR Newswire

AUSTIN, Texas, Oct. 5, 2020

AUSTIN, Texas, Oct. 5, 2020 /PRNewswire/ — ICYMI The Texas Education Agency announced Great Minds as the creator of PhD Science TEKS Edition for Texas home learning for Grades K–5. This follows the agency’s selection of Great Minds to create Eureka Math in Sync TEKS Edition for Grades K–5. The TEA news release is below. Great Minds contact: Chad Colby, [email protected], 202-297-9437.

(PRNewsfoto/Great Minds)
(PRNewsfoto/Great Minds)

The Texas Education Agency today announced the next set of instructional materials – covering K-12 English Language Arts and Reading (ELAR), K-5 Spanish Language Arts and Reading (SLAR), and K-5 Science – that will be made available to school systems through the Texas Home Learning 3.0 (THL 3.0) initiative. Like other THL 3.0 offerings, these instructional materials are

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Apple’s Tim Millet talks A14 Bionic, machine learning in new interview

Apple’s Vice President of Platform Architecture offers insight on the new A14 Bionic processor, the importance of machine learning, and how Apple continues to separate itself from its competitors in a new interview.

According to Apple, the A14 Bionic offers a 30% boost for CPU performance, while using a new four-core graphics architecture for a 30% faster graphics boost, compared against the A12 Bionic used in the iPad Air 3. Against the A13, the benchmarks suggest the A14 offers a 19% improvement in CPU performance and 27% for graphics.

In an interview with German magazine Stern, Apple’s Vice President of Platform Architecture, Tim Millet, offered some insight into what makes the A14 Bionic processor tick.

Apple's Tim Millet during the

Millet explains that while Apple did not invent machine learning and neural engines — “the foundations for this go back many decades” — they did help to find ways to accelerate the process.

Machine

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