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NYC Wegmans Is Storing Biometric Data On Shoppers' Eyes, Voices and Faces

Slashdot.org - 1 hour 57 min ago

schwit1 shares a report from Gothamist: Wegmans in New York City has begun collecting biometric data from anyone who enters its supermarkets, according to new signage posted at the chain's Manhattan and Brooklyn locations earlier this month. Anyone entering the store could have data on their face, eyes and voices collected and stored by the Rochester-headquartered supermarket chain. The information is used to "protect the safety and security of our patrons and employees," according to the signage. The new scanning policy is an expansion of a 2024 pilot. The chain had initially said that the scanning system was only for a small group of employees and promised to delete any biometric data it collected from shoppers during the pilot rollout. The new notice makes no such assurances. Wegmans representatives did not reply to questions about how the data would be stored, why it changed its policy or if it would share the data with law enforcement.

Utah Allows AI To Renew Medical Prescriptions

Slashdot.org - 2 hours 37 min ago

sinij shares a news release from the Utah Department of Commerce: The state of Utah, through the Utah Department of Commerce's Office of Artificial Intelligence Policy, today announced a first-of-its-kind partnership with Doctronic, the AI-native health platform, to give patients with chronic conditions a faster, automated way to renew medications. This agreement marks the first state-approved program in the country that allows an AI system to legally participate in medical decision-making for prescription renewals, an emerging model that could reshape access to care and ultimately improve care outcomes. Politico provides additional context in its reporting: In data shared with Utah regulators, Doctronic compared its AI system with human clinicians across 500 urgent care cases. The results showed the AI's treatment plan matched the physicians' 99.2 percent of the time, according to the company. "The AI is actually better than doctors at doing this," said Dr. Adam Oskowitz, Doctronic co-founder and an associate professor of surgery at the University of California San Francisco. "When you go see a doctor, it's not going to do all the checks that the AI is doing." Oskowitz said the AI is designed to err on the side of safety, automatically escalating cases to a physician if there's any uncertainty. Human doctors will also review the first 250 prescriptions issued in each medication class to validate the AI's performance. Once that threshold is met, subsequent renewals in that class will be handled autonomously. The company has also secured a one-of-a-kind malpractice insurance policy covering an AI system, which means the system is insured and held to the same level of responsibility as a doctor would be. Doctronic also runs a nationwide telehealth practice that directs patients to doctors after an AI consultation. In Utah, patients who use the system will visit a webpage that verifies they are physically in the state. Then the system will pull the patient's prescription history and offer a list of medications eligible for renewal. The AI walks the patient through the same clinical questions a physician would ask to determine whether a refill is appropriate. If the system clears the renewal, the prescription is sent directly to a pharmacy. The program is limited to 190 commonly prescribed medications. Some medications -- including pain management and ADHD drugs as well as injectables -- are excluded for safety reasons.

Nvidia Details New AI Chips and Autonomous Car Project With Mercedes

Slashdot.org - 3 hours 20 min ago

An anonymous reader quotes a report from the New York Times: On Monday, [Jensen Huang, the chief executive of the chip-making giant Nvidia] said the company would begin shipping a new A.I. chip later this year, one that can do more computing with less power than previous generations of chips could. Known as the Vera Rubin, the chip has been in development for three years and is designed to fulfill A.I. requests more quickly and cheaply than its predecessors. Mr. Huang, who spoke during CES, an annual tech conference in Las Vegas, also discussed Nvidia's surprisingly ambitious work around autonomous vehicles. This year, Mercedes-Benz will begin shipping cars equipped with Nvidia self-driving technology comparable to Tesla's Autopilot. Nvidia's new Rubin chips are being manufactured and will be shipped to customers, including Microsoft and Amazon, in the second half of the year, fulfilling a promise Mr. Huang made last March when he first described the chip at the company's annual conference in San Jose, Calif. Companies will be able to train A.I. models with one-quarter as many Rubin chips as its predecessor, the Blackwell. It can provide information for chatbots and other A.I. products for one-tenth of the cost. They will also be able to install the chips in data centers more quickly, courtesy of redesigned supercomputers that feature fewer cables. If the new chips live up to their promise, they could allow companies to develop A.I. at a lower cost and at least begin to respond to the soaring electrical demands of data centers being built around the world. [...] On Monday, he said Nvidia had developed new A.I. software that would allow customers like Uber and Lucid to develop cars that navigate roads autonomously. It will share the system, called Alpamayo, to spread its influence and the appeal of Nvidia's chip technology. Since 2020, Nvidia has been working with Mercedes to develop a class of self-driving cars. They will begin shipping an early example of their collaboration when Mercedes CLA cars become available in the first half of the year in Europe and the United States. Mr. Huang said the company started working on self-driving technology eight years ago. It has more than a thousand people working on the project. "Our vision is that someday, every single car, every single truck, will be autonomous," Mr. Huang said. The Rubin chips are named for the astronomer Vera Rubin, a pioneering astronomer who helped find powerful evidence of dark matter.