Between the disruption to foreign manufacturing and its planned German silicon facility, much of the recent focus has been on Apple's overseas supply chain. But, amid a push to re-start the US economy, Apple is now highlighting its domestic contributions. The iPhone-maker announced today that it will open a new campus and engineering hub in North Carolina, as part of a five-year plan to pour $430 billion into the US economy. Apple will spend $1 billion on the new site located in the Research Triangle area, home to a trifecta of higher-education institutions including North Carolina State University, Duke University and the University of North Carolina. The project will see Apple employ 3,000 people in machine learning, artificial intelligence and software engineering posts.

MAHWAH, N.J. – This past year, as communities across New Jersey and the country faced an array of challenges caused by the pandemic, concern over racial injustice unrest and natural disasters, unsung heroes stepped up to help feed, comfort and educate their neighbors, and in other ways protect ...

WIRE)--BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, introduced MetaTF, a versatile ML framework that allows people working in the convolutional neural network space to quickly and easily move to neuromorphic computing without having to learn anything new, today at Linley Spring Conference 2021. The MetaTF development environment is an easy-to-use, complete machine learning framework for the creation, training and testing of neural networks, supporting the development of systems for Edge AI on BrainChip's Akida event domain neural processor. The MetaTF development environment leverages TensorFlow and Keras for industry-standard neural network development and training and includes the Akida Execution Engine (chip simulator), data-to-event converters, and a model zoo of pre-trained models. The framework leverages the Python scripting language and its associated tools and libraries, including Jupyter notebooks and NumPy. Deep-learning professionals do not need to learn a new framework to start using MetaTF immediately.

Amazon SageMaker Studio is a web-based fully integrated development environment (IDE) where you can perform end-to-end machine learning (ML) development to prepare data and build, train, and deploy models. Like other AWS services, Studio supports a rich set of security-related features that allow you to build highly secure and compliant environments. One of these fundamental security features allows you to launch Studio in your own Amazon Virtual Private Cloud (Amazon VPC). This allows you to control, monitor, and inspect network traffic within and outside your VPC using standard AWS networking and security capabilities. For more information, see Securing Amazon SageMaker Studio connectivity using a private VPC.

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Carl Data Solutions (CSE: CRL) announced that it has entered into a collaborative agreement with Think Quality Assurance (Think-QA) to accelerate CRL's entry into the Renewable Energy Sector. Carl Data works with new cloud-based mass storage services and machine learning (AI) analytical tools to monitor large amounts of industrial and government data. The global utilities market was valued at $4.2 trillion in 2020, according to a Research&Markets report. A developer of Big-Data-as-a-Service (BDaaS)-based solutions and Industrial Internet-of-Things (IIoT) applications – CRL saves clients time and money by aggregating information from any sensor or source to create a real-time decision support system. The Internet of Things refers to the exploding network of physical objects that have an IP address for internet connectivity, and the communication that occurs between these objects.

Among the many trends happening in procurement today, artificial intelligence and machine learning are two of the biggest topics. A recent industry conference, Bid Ops' Optimal AI event, brought professionals together to discuss the often confusing, but definitely complementary, role that AI can play in a procurement process. Bid Ops combines sourcing and artificial intelligence under one umbrella solution. By inviting hundreds of thought leaders, professionals and executives to attend the daylong virtual conference, event attendees learned about AI, sourcing and how digital transformation is taking hold in procurement today. On the other hand, there's strong data showing that AI is being rapidly adopted across the procurement industry," Edmund Zagorin, Founder and CEO of Bid Ops, said in an email to Spend Matters. "So it's confusing for a lot of procurement professionals -- is AI a meaningless buzzword or is it critical for businesses to'do more with less' and manage volatility and change?

Enterprise AI solutions platform LogicPlum has released its latest update to improve functionality and practicality on its automated machine learning platform. Because it is extremely difficult to find data scientists who can do all these tasks well, it is likely an organization would have to hire an expert for each category. That is where LogicPlum comes in. LogicPlum can assist in every aspect of these sub-specialties. LogicPlum Chief Technology Officer Anoop Muraleedharan said, "We are committed to helping organizations experience maximum benefit from their AI solutions. We are uniquely positioned to help companies understand the challenges they face, in addition to the opportunities they have, with AI innovation. Our LogicPlum 3.0 platform release has been precisely constructed to accelerate organizations that are becoming AI-driven."

Obviously, the coronavirus has had a devastating impact on our world. The transformative effects of COVID-19 are immense, but they aren't all negative. When faced with the reality of everything being remote from work to entertainment to education to connecting with friends and more, the technologies that propel the 4th Industrial Revolution offered solutions to continue some normality in business and life. As more companies relied on these technologies to continue operations, things that held digital transformation back in the past were challenged. As a result, as Satya Nadella, CEO of Microsoft, said, "We've seen two years' worth of digital transformation in two months."

Domo (Nasdaq: DOMO) today announced that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that Domo has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners in the AWS Partner Network (APN) recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions for the business, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises. AWS is keeping pace and continuously evolving AWS Competency Programs to provide customers an ability to engage enhanced AWS Partner technology and consulting offerings.