Today, the NFL announced a new partnership with Amazon Web Services to develop a set of software tools to try and predict what causes player injuries. Called'Digital Athlete,' the program will insert a computer created player into millions of simulated games to generate recommendations about changing player equipment, altering the game's rules, and minimizing injuries in certain scenarios. The program will use Amazon's Regoknition system to break down video feeds from current NFL games and record information about everything from play selection, weather, playing surface, and player position. Amazon and the NFL will partner on a new program called'Digital Athlete,' and AI-driven simulation of millions of games using a computer-created player to learn more about player injuries Amazon's SageMaker software will also be used to build machine learning models to apply that data as the basis to simulate new variations on individual plays and entire games. 'When we apply next-generation technology to advance player health and safety, everyone wins – from players to clubs to fans,' NFL commissioner Roger Goodell said in a statement.

Supervised machine learning models often associate irrelevant nuisance factors with the prediction target, which hurts generalization. We propose a framework for training robust neural networks that induces invariance to nuisances through learning to discover and separate predictive and nuisance factors of data. We present an information theoretic formulation of our approach, from which we derive training objectives and its connections with previous methods. Empirical results on a wide array of datasets show that the proposed framework achieves state-of-the-art performance, without requiring nuisance annotations during training.

Madison College students Schuyler Bostedt, Garrett Butler and Jonathan Stowell took first place in the Industrial Robotics Competition held during the Wisconsin Manufacturing and Technology Show October 8-10 in Milwaukee. Bostedt, Butler and Stowell are enrolled in the Electromechanical Technology associate degree program. The contest tested robotic programming knowledge by challenging students to complete a set of tasks on a Fanuc education robot in three hours. The objective included program planning, end of arm tool selection, robot programming and teamwork. A panel of experts judged the 23 teams on their ability to complete the assignment, efficiency, teamwork and robotics knowledge.

Waymo One is now one. It's been one year since the self-driving taxi service opened for public (but still very limited) rides in a geofenced part of the Phoenix area. Its fleet of Chrysler Pacifica minivans and other autonomous vehicles just hit more than 100,000 rides. To celebrate, Waymo One is now on the App Store, available for download for any iPhone user. But to actually order and ride the robo-taxis in Arizona, you still have to get on a waitlist.

Waymo One is now one. It's been one year since the self-driving taxi service opened for public (but still very limited) rides in a geofenced part of the Phoenix area. Its fleet of Chrysler Pacifica minivans and other autonomous vehicles just hit more than 100,000 rides. To celebrate, Waymo One is now on the App Store, available for download for any iPhone user. But to actually order and ride the robo-taxis in Arizona, you still have to get on a waitlist.

Gurugram-based AI startup Staqu has launched its video analytics platform called JARVIS in Uttar Pradesh. The app was launched by UP Chief Minister Yogi Adityanath. Staqu has established AI-powered video analytics solution with a'Video Wall' that covers CCTV footage from all of 71 prisons of the state, covering a stretch of 900km. The AI-powered video analytics tool is now live with 700 cameras for multi-purpose analytics and can automatically analyse intrusion at the wall, frisking, and unauthorised access, sudden increase of crowd, violence, camera not working, and intrusion detection, amongst others. JARVIS is also equipped to send alerts on various predefined events on the mobile app to the jail superintendent and also to the nodal command centre at Lucknow.

Machine Learning (ML) has found its place into cybersecurity a long time ago and usage of ML has given cybersecurity teams much-needed insights into the malware network and effective ways to curb cyber attacks. Most ML-based solutions are proprietary or designed for specific feature representations. In 2017, one of the most prominent credit reporting agencies (CRA) of the United States– Equifax, suffered a huge malicious attack that led to a data breach that is famous for all the wrong reasons. Personal and sensitive data worth 148 million was lost to a data breach. Such data breach and data risks are still prevalent irrespective of the endpoint protection and other monitoring techniques deployed by enterprises worldwide.

Elon Musk said he thinks his neural-technology company, Neuralink, will be able to "solve" schizophrenia and autism. On the latest "Artificial Intelligence" podcast with Lex Fridman, published Tuesday, the Tesla and SpaceX CEO was asked about the most exciting effects he foresees for Neuralink, whose goal is to develop an AI-enabled chip that could be implanted in a person's brain to record brain activity and potentially stimulate it. "So Neuralink I think at first will solve a lot of brain-related diseases," Musk said. "So could be anything from, like, autism, schizophrenia, memory loss -- like, everyone experiences memory loss at certain points in age. Parents can't remember their kids' names and that kind of thing."

The rise of artificial intelligence has formed a trail of disruptive technologies. From computer vision and natural language processing to predictive analytics and recommendation engines, AI is rapidly transforming global business services. Sentiment analysis is one such AI-driven technology that channelizes extensive digital information to trace the undertone of textual data and interactions. An AI development company executes dynamic applications of sentiment analysis to automate and empower the decision-making capabilities of businesses worldwide. This blog post explores some potential business applications of sentiment analysis across industries.

Artificial intelligence is often perceived as the harbinger of a new age in which robots take over the majority of our jobs. But there is another less alarmist perspective to this that is given much less airtime. Could AI, in fact, create jobs? There is no doubt that automation will cause some jobs to vanish. Equally, it will change some jobs beyond recognition.