From the depths of the oceans to the blackest outposts of space, robots go where we can't. They do the work that's too dangerous or impossible for people, including maintaining infrastructure in hard-to-reach places. In factories, robots help to increase quality and safety on the assembly line. Robots, especially industrial robotic arms, are great candidates for deep reinforcement learning. Deep reinforcement learning (DRL) uses experimentation to train a deep learning solution.

Work in cloud development and need to upgrade your skills for this year and beyond? Then the 2022 Amazon Web Services Database Bundle has you covered. And since it's offered this week for just $29.99, it's easier than ever to afford. This web-based opportunity is an ideal training resource for existing IT pros that want to develop new skills. It includes nine courses that offer practical, hands-on experience in topics such as the development of AWS infrastructure (such as the design and implementation of a database), migrating information to the cloud, the basics of AWS Rekognition in machine learning, and more.

At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high efficiency silicon on chip design. Originating from multiple years of research, our unique AI hardware & software co-design principle and the Dynamic Neural Accelerator AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bring the power of AI and machine learning to all kinds of devices. Our operations are headquartered in Tokyo, Japan, with offices in Singapore, Virginia, and California in the US. As an engineering driven company we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters.

In this newsletter I future a recent recording from BusinessDay TV - a panel discussion I was involved in. It was hosted by Michael Avery and our guests were Tumisang Nkosi (Tumi) Director: Executive Education & Programmes at Johannesburg Business School (JBS) & Kanshukan Rajaratnam (Kanshu), Director: School for Data Science and Computational Thinking at Stellenbosch University. I also include an article I wrote for BusinessDay newspaper on the same topic. The smart technology era is a revolution characterised by the blending of the physical, digital and biological worlds. Artificial intelligence, robotics, the Internet of Things, 3D printing, genetic engineering, and quantum computing is spurring on the creation of products and services that are rapidly becoming more important in today's world.

Using Artificial Intelligence to transform the learning experience can remove … it is pretty ironic that machine learning and AI are designed to …

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About two weeks ago, Priyanhali Gupta, a third year student at the Vellore Institute of Technology (VIT) in India, posted a self-created project to her LinkedIn page. In it, the computer science major showcased a demo for an AI model that can translate a few ASL signs into English. Gupta's project was created using transfer learning from a pre-trained model called ssd_mobilenet. In other words, she was able to re-purpose existing code in order to meet the specifications of her ASL detector. It's worth pointing out that the model doesn't necessarily translate signs into English, but rather identifies an object displayed on webcam and then evaluates how similar said object is to the six pre-programmed phrases listed above.

"Transformation for robotic automation is picking up speed across traditional and new industries," says Milton Guerry, President of the International Federation of Robotics. "More and more companies are realizing the numerous advantages robotics provides for their businesses." Segments that are relatively new to automation are rapidly adopting robots. Consumer behavior is driving companies to address demand for personalization of both products and delivery. The e-commerce revolution was driven by the pandemic and will continue to accelerate in 2022.