While DARPA is handing out money, they should also talk to the creators of this real-life film-making robot, which is able to analyze individual film frames and then join the best parts together as a finished film.

Cognex Corporation introduces the In-Sight D900 embedded vision system. The In-Sight D900 features Cognex's ViDi deep learning software inside an In-Sight industrial-grade smart camera. The system is designed to solve applications including, optical character recognition (OCR), assembly verification, and defect detection. The In-Sight D900 system, which can be setup using a small number of image samples, leverages Cognex's spreadsheet platform and does not require a PC or deep learning expertise to deploy. The In-Sight D900 is ideal for automating complex inspection applications across a range of industries including automotive, consumer electronics, consumer products, packaging, food and beverage, medical devices, and logistics.

A globally renowned expert in artificial intelligence (AI) from the University of Huddersfield has produced innovative research to show how technology can be used to support the diagnosis of ADHD in adults. Professor Grigoris Antoniou, the project lead from the university, said the work started after the NHS wanted to speed up diagnosis as currently treatments are available, but the process can be slow. "There are long and growing waiting lists, as people wait to be diagnosed and treated, and this can result in adverse effects on their work, their social life and their family life," said Professor Antoniou. He added a reason for the lengthening waiting time due to a limited number of specialist clinicians able to do a full diagnosis. It has been estimated that 1.5 million UK adults have ADHD, leading to a wide range of difficulties, jeopardising careers and relationships.

There are about one billion people living with disability around the world. In the United States, 61 million Americans live with some form of disability. Unfortunately, despite their significant numbers, efforts to ensure that they have equal access to spaces, utilities, and services remain lacking. Take technology and the internet, for example. Disabled people typically need assistive devices and applications to use computers.

These days consumers and businesses no longer think of artificial intelligence (AI) as something from a sci-fi movie or book – that's because AI is now part of everyday life. Just think of Netflix's suggestion algorithm, Uber's location algorithm and even Tinder's matching algorithm – all business models powered by AI to help drive consumer decisions. And the same AI can be used in the sales process to help sales teams make decisions. At World Tour Sydney Reimagined we saw Salesforce Einstein Voice provide deal coaching to sales reps using predictive technology. And in the Sales keynote, Modern Star explained how their sales reps were using data insights to further understand their customer and close deals.

Remember when you could play Pac-Man or solve a Rubik's Cube on Google's homepage? Interactive games such as those are making a comeback. Starting Monday, Google is using its Doodles to launch a series of its classic popular interactive games from its archives. Google's Doodles transform the company logo on its main search into an illustration or interactive, celebrating occasions like a key birthday or anniversary, or special holiday. "As COVID-19 continues to impact communities around the world, people and families everywhere are spending more time at home," said Google in a statement.

Battlesnake is an AI competition in which you build AI-powered snakes. Battlesnake's rules are similar to the traditional snakes game. Your goal is to be the last surviving snake when competing against other snakes. Developers of all levels build snakes using techniques ranging from unique heuristic-based strategies to state-of-the-art deep reinforcement learning (RL) algorithms. You can use the SageMaker Battlesnake Starter Pack to build your own snake and compete in the Battlesnake arena.

A physician-turned-entrepreneur raised in Kashmir is now part of a team using big data and machine learning to help detect useful patterns in the tsunami of public health data generated world-wide by the COVID-19 crisis and do what he can for those back home. Junaid Nabi, a public health researcher at Brigham and Women's Hospital and Harvard Medical School in Boston, says his experiences with the health system in the developing world drives his current work. "Growing up in Kashmir, a society marred with social, economic, and healthcare disparities, I was exposed to the inherent inequities in my community at an early age," he said, "During the final years of my training, I had an opportunity to work with some non-profit organizations, especially the rescue teams during the Savar building collapse in Dhaka, Bangladesh." "This is when I noticed that clinical medicine does not answer all the questions clinical work asks." Nabi, who is also an Aspen New Voices Fellow, is now working with colleagues at Harvard Medical School and Harvard School of Public Health to develop digital tools that harness big data and machine learning to rapidly evaluate patterns in the data pouring in from clinical research. "I believe machine learning has an important role in COVID-19," he said.

Built Robotics executives are fond of saying that their autonomous system for construction equipment, like dozers and excavators, might be further along than many autonomous vehicles. In fact, CEO Noah Ready-Campbell insists you'll see autonomous vehicles in controlled industrial environments -- like construction sites -- before you see level 5 driverless cars on public roads. That may be in part because autonomous construction equipment often operates on privately owned land, while public roads face increased regulatory scrutiny. "There's a quote that'Cold fusion is 20 years in the future and always will be,'" Ready-Campbell told VentureBeat. "I think there's a chance that that might be true for level 5 self-driving cars as well."

A general lack of preparedness in customer care has revealed each industry's weaknesses and vulnerabilities. Every vertical market has its unique challenges, but the concerns that are universal for all include lack of bandwidth, secured networks, and reliability. In this volatile and unpredictable environment, our global customer experience team will weigh in on key strategies and technologies companies in all sectors should leverage and monitor closely. Frost & Sullivan invites you to join industry experts Alpa Shah, Juan Gonzalez, Michael DeSalles, Alexander Michael and Krishna Baidya for the Growth Opportunity briefing, "Key Growth Strategies and Technologies to Upgrade Your Customer Experience amidst the Pandemic," on April 29 at 11 a.m. The briefing will discuss ways to deliver secure, high-quality, and stable CX services to your clients to gain a competitive advantage during these uncertain times, including the optimization of your artificial intelligence, robotic process automation, and virtual agents.