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Since it was founded nearly two decades ago, 23andMe has grown into one of the largest biotechnology companies in the world. Millions of people have used its simple genetic testing service, which involves ordering a saliva test, spitting into a tube, and sending it back to the company for a detailed DNA analysis.

As the world races to meet net-zero targets, emissions from all industrial sectors must be reduced more urgently than ever. Agriculture is an important area of focus as it contributes up to 22% of global greenhouse gas emissions—almost as much as the energy sector.

A team of AI researchers with Google's DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.

The world is rapidly transitioning to renewable power, but there are shortcomings. Solar power falls at night, and wind power recedes and ascends irregularly. New technologies need to be developed that can store energy from the electrical grid when there's a surplus and deploy it when there's not enough.

A shocking new report on global biodiversity is detailing what it calls "a catastrophic decline" in wildlife populations ahead of a major international conference on biodiversity.

In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you've likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users' queries. There are also full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively "denoising" an entire video sequence.

Today, our understanding and assessment of the physical characteristics of the world around us relies less and less on human intelligence and more and more on artificial intelligence.

Within its new Responsible Innovation initiative, researchers at Penn Engineering discovered that certain features of AI-governed robots carry security vulnerabilities and weaknesses that were previously unidentified and unknown. The research aims to address the emerging vulnerability for ensuring the safe deployment of large language models (LLMs) in robotics.

In an Imperial College London study, humans displayed sympathy towards and protected AI bots who were excluded from playtime. The researchers say the study, which used a virtual ball game, highlights humans' tendency to treat AI agents as social beings—an inclination that should be considered when designing AI bots.

Say you want to study something big—like a community power grid, a massive pipe system, or roadways crisscrossing the entire United States—but none of it exists, at least not yet. How do you study these invisible labyrinths to make sure they will be safe and efficient?

Researchers at Oak Ridge National Laboratory and the National Energy Technology Laboratory have developed and 3D printed the lightest crack-free alloy capable of operating without melting at temperatures above 2,400 degrees Fahrenheit.

Thanks to a technique developed by researchers at NC State University, autonomous vehicles might one day be able to navigate the roadways much better. The technique allows artificial intelligence programs to more accurately map three-dimensional spaces using two-dimensional images.

In new research published in the journal Fuel, Baylor University researchers with the Cornerstone Atomization and Combustion Lab (CAC) have unveiled a pioneering method for the efficient combustion of biofuels, using a revolutionary Swirl Burst (SB) injector to burn glycerol/methanol blends with near-zero emissions. This new technology enables ultra-clean combustion of fuels that are typically difficult to burn due to their high viscosity.

What if a security camera could not only capture video but understand what's happening—distinguishing between routine activities and potentially dangerous behavior in real time? That's the future being shaped by researchers at the University of Virginia's School of Engineering and Applied Science with their latest breakthrough: an AI-driven intelligent video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.

In recent years, artificial intelligence (AI) and deep learning models have advanced rapidly, becoming easily accessible. This has enabled people, even those without specialized expertise, to perform various tasks with AI. Among these models, generative adversarial networks (GANs) stand out for their outstanding performance in generating new data instances with the same characteristics as the training data, making them particularly effective for generating images, music, and text.

A research team from the Skoltech Energy Center, led by Distinguished Professor and director of the center Artem Abakumov, secured a patent for high-capacity cathode materials in lithium-ion batteries made from layered nickel-rich transition metal oxides, as well as a new hydrothermal microwave-assisted approach for their production.

Estimates suggest that 4 million parcels are delivered every day in Spain, most of which are destined for the metropolitan areas of large cities, which is where 55% of the country's population lives.

Researchers at Apple Computer Company have found evidence, via testing, showing that the seemingly intelligent responses given by AI-based LLMs are little more than an illusion. In their paper posted on the arXiv preprint server, the researchers argue that after testing several LLMs, they found that they are not capable of performing genuine logical reasoning.

A wave of touching photos showing great moments in time is fascinating amateur historians online. The problem? They are not real—and may be clouding our view of the past.

Imagine tires that charge a vehicle as it drives, streetlights powered by the rumble of traffic, or skyscrapers that generate electricity as the buildings naturally sway and shudder.