A robotaxi dragged a pedestrian 20 feet down a San Francisco street on the evening of October 2, 2023, coming to rest with its rear wheel on that woman's legs. The mishap was complex, involving a first impact by a different, human-driven vehicle. The following weeks saw Cruise stand down its road operations amid allegations of withholding crucial mishap information from regulators. The pedestrian has survived her severe injuries, but the robotaxi industry is still wrestling with the aftermath. Key observations include that the robotaxi had multiple possible ways available to avoid initial impact with the pedestrian. Limitations to the computer driver's programming prevented it from recognizing a pedestrian was about to be hit in an adjacent lane, caused the robotaxi to lose tracking of and then in essence forget a pedestrian who was hit by an adjacent vehicle, and forget that the robotaxi had just run over a presumed pedestrian when beginning a subsequent repositioning maneuver. The computer driver was unable to detect the pedestrian being dragged even though her legs were partially in view of a robotaxi camera. Moreover, more conservative operational approaches could have avoided the dragging portion of the mishap entirely, such as waiting for remote confirmation before moving after a crash with a pedestrian, or operating the still-developing robotaxi technology with an in-vehicle safety driver rather than prioritizing driver-out deployment.

An October 2023 crash between a GM Cruise robotaxi and a pedestrian in San Francisco resulted not only in a severe injury, but also dramatic upheaval at that company that will likely have lasting effects throughout the industry. The issues stem not just from the crash facts themselves, but also how Cruise mishandled dealing with their robotaxi dragging a pedestrian under the vehicle after the initial post-crash stop. A pair of external investigation reports provide raw material describing the incident and critique the company's response from a regulatory interaction point of view, but did not include potential safety recommendations in scope. We use that report material to highlight specific facts and relationships between events by tying together different pieces of the report material. We then explore safety lessons that might be learned with regard to technology, operational safety practices, and organizational reaction to incidents.

Hiring is a really big piece. Doing that really well and making sure that we have opportunities to hire people from a ton of diverse backgrounds to help make sure that we're not homogenous,

Roborace team SIT Acronis Autonomous suffered a "computer says no" moment on Thursday when its race car drove straight into a wall, mere seconds after it had started driving. If you're familiar with the Little Britain T.V. show, you'll understand the meaning of "computer says no." And it couldn't be more true for this moment. Luckily no one was hurt. But, you live and you learn, and this is one of the ways people working in robotics learn how to improve their systems.

Wearing a mask on their faces, 2 robbers smashed the walls of the jewellery showroom and looted gold and diamond jewelleries worth INR 13 crores (USD 1.8 million). This robbery shook Tamilnadu as the store had CCTV and watchmen to prevent such mishaps. "CCTVs are like eyes without brains" says Heptagon's co-founder & C.E.O Vijayramkumar Veeraraghavan In this video,Vijay introduces A.I. based Video Analytics and Surveillance Platform - Focus Sentinel, to prevent such mishaps from happening in the future. Reach out to business@heptagon.in to know more.

We've seen multiple use cases where smart devices like smart watches and other smart appliances have helped people maintain excellent homes and healthy bodies. Are there any smart devices or sensors that can help individuals in improving their mental health and ensure that they lead a happy life? Mental health is imperative for physical health. To live a fully healthy lifestyle, we need to take care of our mind, just as much as our body. And for that, there are some machine learning solutions and smart devices that prioritize mental well-being.

For the first time, the railways will use artificial intelligence to control air circulation, signages and even supervision and maintenance work in the 10.28 km-long tunnel in Imphal as part of its 110 km railway line from Jiribam to Manipur's capital city. While the national transporter is already using this technique to detect flaws or problems in the signalling system on a real-time basis and rectifying it in order to avoid possible delays and mishaps, this is the first time that such a technology will be used in a tunnel in the country. "The system will control air circulation in the system, along with other aspects. It will alert the passenger in case of fire and help us in quick evacuation in case of any issue. This tunnel is specially unique as it also has a safety tunnel at every 500 meters," said Yogesh Verma, deputy chief, construction, Northeast Frontier Railway.

Autonomous cars have been around for a while. Everyone from Tesla and Volvo to Google car and Uber have rolled out automated-driving vehicles. But it has not been a smooth ride so far. Just last week in Arizona, Uber Technologies' self-driving car was involved in an accident, killing a woman -- it was the first pedestrian fatality involving an automatic vehicle. Following this, Toyota has suspended US tests of driverless cars on public roads.

A lot of talks, innovation, news and information about Machine learning has been prevalent in the mainstream media for quite a long time. We see new machine learning algorithms being devised for tackling new sets of problems from time to time. Machine learning is slowly but surely becoming employed in each and every field of life. And there is a good reason behind it – these advanced learning algorithms, learning methods, and computational ways make many problems a lot easier to solve. Many mind intensive and energy consuming tasks are being replaced by simple learning algorithms of Machine learning; thus making them more accurate, faster and efficient.

The new social media chat bot Tay started as an innocent social experiment for people between the ages of 18-24, but the project soon went astray once Twitter users abused the vulnerabilities of the ignorant robot. Tay was the name given to the artificial intelligence chat bot created by Microsoft and Bing's technology and research teams. She is essentially a virtual personality anyone can chat with on Twitter, Kik, and GroupMe. But in less than a day, internet trolls turned Tay into a racist and genocidal terror through their tweets at Tay and as a result of Microsoft's design. Anyone could tweet Tay or chat with her and she was designed to learn, as conversations progress, from what people say.