The systems that allow drivers to take their hands off the wheel are convenient but don't improve safety because people who use them often pay less attention to the road, the head of the National Transportation Safety Board said Tuesday. Drivers with automated systems engaged are much more likely than other drivers to focus on their cellphones or infotainment screens, Chair Jennifer Homendy said at the outset of a hearing on the NTSB's investigation of two fatal crashes involving Ford’s Blue Cruise system. The 2024 crashes in Texas and Pennsylvania killed three people when Ford Mustang Mach-E cars slammed into stopped vehicles. Other WRAL Top Stories “These systems function primarily as convenience features rather than safety enhancements,” she said. Ford and other automakers emphasize that partially automated driving systems are not designed to replace the human drivers sitting behind the wheel, who have to be ready to take control at any time. But Homendy said automakers are marketing these systems as safety improvements that allow drivers to take their hands off the wheel and focus elsewhere. To illustrate her point, she showed a Ford commercial that depicted a mother in a driver's seat pretending to conduct a symphony with her eyes closed while talking to kids in the backseat. One of the auto industry's challenges in developing systems that take on more driving functions has been how to ensure that drivers stay alert. NTSB members said the evidence is clear that drivers using these systems are more likely to shift their focus away from the road. Currently, there are no clear U.S. government standards for the systems, so each automaker’s version of this technology can vary greatly, said Michael Graham, NTSB vice chair. The NTSB, which previously investigated a number crashes involving similar systems, including Tesla’s autopilot system, is examining
Mar 31, 2026 · via wral.com
NVIDIA app is the essential companion for users with NVIDIA GPUs in their PCs and laptops. Whether you're a gaming enthusiast or a content creator, NVIDIA app simplifies the process of keeping your PC updated with the latest GeForce Game Ready and NVIDIA Studio Drivers, enables quick discovery and installation of NVIDIA applications, and enables you to enhance hundreds of games and apps with DLSS overrides, accelerating performance and improving image quality. Our newest NVIDIA app beta update is available now, introducing DLSS 4.5 Dynamic Multi Frame Generation. This GeForce RTX 50 Series DLSS override dynamically adjusts the number of generated frames during gameplay to reach a target frame rate, automatically balancing FPS, image quality and responsiveness, optimizing your experience. (googleCookiePolicyLink)YouTube sets performance, advertising, and other optional cookies(/googleCookiePolicyLink) when you watch embedded videos. To watch this video, you need to turn on optional cookies for the site. By clicking “Accept and Play Video,” you will automatically turn on advertising and other optional cookies for the site and accept our (nvidiaTermsOfServiceLink)Terms of Service(/nvidiaTermsOfServiceLink) (which contains important waivers). Please see our (nvidiaPrivacyPolicyLink)Privacy Policy(/nvidiaPrivacyPolicyLink) and (nvidiaCookiePolicyLink)Cookie Policy(/nvidiaCookiePolicyLink) for more information. Alternatively, you can (youtubeLink)watch this video on YouTube(/youtubeLink). Additionally, DLSS 4.5 Multi Frame Generation is now available at up to 6X, enabling even higher levels of performance. And DLSS 4.5 Multi Frame Generation and Frame Generation users can activate a new and improved AI model in select titles. Our new NVIDIA app update also introduces a beta preview of Auto Shader Compilation, a new feature that rebuilds DirectX 12 game shaders after a driver update while your system is idle, or on demand, accelerating game load times. Download the app update today by opting into beta and experimental features in Settings > About. Please note, GeForce Game Ready Driver 595.97 WHQL, or newer,
Mar 31, 2026 · via nvidia.com
SAN ANTONIO – Waymo, a fully autonomous vehicle company, expanded its service in the Alamo City on Tuesday to include rides to and from the San Antonio International Airport. In a statement, a Waymo spokesperson said the company is the first fully autonomous ride service to provide airport transportation in Texas. “Providing a safe and reliable ride to and from the airport is one of the most requested uses for Waymo riders, and we’re proud to bring that capability to San Antonians,” said Arica Gately, Waymo’s head of airport partnerships and business development. Drop-offs are intended to take place at the terminal’s curbside. Pickups are available at the rideshare areas, the statement said. “Waymo works closely with communities to meet the diverse needs of residents and expanding access to San Antonio International Airport will serve as a key connection to the region’s transportation network,” Gately said. Waymo vehicles officially began operating in the Alamo City last month. The vehicles serve riders across more than 60 square miles in San Antonio, including areas from North Star Mall down to the San Antonio Rodeo fairgrounds, the Frost Bank Center, downtown, the River Walk, the Alamo and the Henry B. González Convention Center. The launch in San Antonio is part of a broader expansion. Waymo is also welcoming public riders into its fully autonomous ride-hailing service in Dallas, Houston and Orlando. More Waymo coverage on KSAT:
Mar 31, 2026 · via ksat.com
To build the autonomous machines of the future, sometimes your model needs a model. Companies developing self-driving cars, robots manipulating the physical environment, or autonomous construction equipment collect thousands, if not millions, of hours of video data for evaluation and training. Organizing and cataloging that video is now a job for humans, who have to watch all of it. Even fast-forwarding, that doesn’t scale. NomadicML, a startup founded by CEO Mustafa Bal and CTO Varun Krishnan, wants to solve problems for customers who have 95% of their fleet data sitting in archives. The challenge becomes harder when looking for edge cases — the most valuable data depicts events that rarely occur and can befuddle inexperienced physical AI models. Nomadic is working to solve that problem with a platform that turns footage into a structured, searchable dataset through a collection of vision language models. That, in turn, allows for better fleet monitoring and the creation of unique datasets for reinforcement learning and faster iteration. The company announced an $8.4 million seed round Tuesday at a post-money valuation of $50 million. The round was led by TQ Ventures, with participation from Pear VC and Jeff Dean, and will allow the company to onboard more customers and continue refining its platform. Nomadic also won first prize at Nvidia GTC’s pitch contest last month. The two founders, who met as Harvard computer science undergrads, “kept running into the same technical challenges again and again at our jobs” at companies like Lyft and Snowflake, Bal told TechCrunch. Disrupt 2026: The tech ecosystem, all in one room Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introductions, and market-defining innovation. Register now to
Mar 31, 2026 · via techcrunch.com