SDNist are intended as tools to encourage investigation and discussion of deiden-tification algorithms, and they are not intended or suitable for product evaluation. The National Institute of Standards and Technology does not endorse any algorithm included in these resources.

Deidentification algorithms are vulnerable to the same bias and privacy issues that impact other data analytics and machine learning applications, and it can even amplify those issues by contaminating downstream applications.

Wing's drone deliveries are coming to 150 more Walmarts The service expansion will reach Walmart customers in Los Angeles, St. Louis, Cincinnati, Miami and other US metro areas. Don't be surprised if you see even more drones delivering groceries across the US since the Alphabet-owned Wing announced another service expansion with Walmart over the next year. The partnership said that drone delivery services will be available at 150 more Walmart locations in Los Angeles, St. Louis, Cincinnati, Miami and more metros that have yet to be announced. According to Wing, its top 25 percent of customers have ordered its delivery drones up to three times a week. To meet growing demand, Wing and Walmart said it will serve up to 40 million US customers and build up a network of 270 delivery locations by 2027.

American Airlines' AI system delays flights to help passengers make connections, expanding testing from Dallas-Fort Worth to Los Angeles, Charlotte, Miami and elsewhere.

We may earn revenue from the products available on this page and participate in affiliate programs. At, we've published our prestigious Best of What's New list since 1988. For 153 years, we've celebrated the science and technology that shapes our everyday lives and launches humanity forward. Innovation doesn't follow a straight path, and the detours, stumbles, and dead ends force great minds to pioneer change. Looking back at the early days of our Best of What's New lists, we see technologies that now seem quaint or have been completely forgotten, but we also see the roots of future greatness. Our list this year is the culmination of countless hours of debate, hands-on testing, and expert conversations. This is the Best of What's New 2025. From the most detailed movie of the night sky ever made to the first commercial soft landing on the moon, this year has been an inflection point for exploring and understanding the vast expanse above our heads. We also saw breakthroughs in small changes to commercial airliners that improve efficiency, as well as a new type of rocket engine that might be the future of extremely high speed air travel, plus the closest view of Mercury we've ever seen! Vera C. Rubin Observatory by U.S. National Science Foundation & Department of Energy: World's largest digital camera to conduct 10-year survey of the night sky Prepare to see space like never before. The Vera C. Rubin Observatory is a groundbreaking US-funded project that will capture the most detailed, dynamic map of the night sky ever made. Using the world's largest digital camera, it will capture a time-lapse of the entire sky every few nights to reveal billions of objects and catch fast-changing events like supernovae and near-Earth asteroids. Its massive dataset will help scientists better understand dark matter, dark energy, and the structure of the universe while also improving planetary defense. The 3,200-megapixel Legacy Survey of Space and Time (LSST) camera is the size of a small car and twice as heavy, tipping the scales at 6,000 pounds. The sensor's huge number of megapixels is equivalent to 260 modern cell phone sensors. The camera is so powerful, it could snap a clear image of a golf ball from 15 miles away. By making its data widely available, the observatory will also open new doors for discovery for researchers, students, and citizen scientists around the world. Deployed on Boeing 787-9 aircraft starting in January, the coating uses tiny, sharkskin-like grooves called riblets to guide airflow smoothly along the aircraft's surface.

'It's going much too fast': the inside story of the race to create the ultimate AI On the 8.49am train through Silicon Valley, the tables are packed with young people glued to laptops, earbuds in, rattling out code. As the northern California hills scroll past, instructions flash up on screens from bosses: fix this bug; add new script. There is no time to enjoy the view. These commuters are foot soldiers in the global race towards artificial general intelligence - when AI systems become as or more capable than highly qualified humans. Here in the Bay Area of San Francisco, some of the world's biggest companies are fighting it out to gain some kind of an advantage. And, in turn, they are competing with China. This race to seize control of a technology that could reshape the world is being fuelled by bets in the trillions of dollars by the US's most powerful capitalists. Passengers get off a train at Palo Alto station.

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We start by exploring strategies for eliciting explicit, coherent numerical predictive distributions from LLMs.

Machine learning models have been criticized for reflecting unfair biases in the training data.

We present TEMPO, a global, temporally resolved dataset of building density and height derived from high-resolution satellite imagery using deep learning models. We pair building footprint and height data from existing datasets with quarterly PlanetScope basemap satellite images to train a multi-task deep learning model that predicts building density and building height at a 37.6-meter per pixel resolution. We apply this model to global PlanetScope basemaps from Q1 2018 through Q2 2025 to create global, temporal maps of building density and height. We validate these maps by comparing against existing building footprint datasets. Our estimates achieve an F1 score between 85% and 88% on different hand-labeled subsets, and are temporally stable, with a 0.96 five-year trend-consistency score. TEMPO captures quarterly changes in built settlements at a fraction of the computational cost of comparable approaches, unlocking large-scale monitoring of development patterns and climate impacts essential for global resilience and adaptation efforts.