Foundation models: 2022’s AI paradigm shift
2022 has seen incredible growth in foundation models, or large-scale AI models trained on a massive scale. What does the future hold?Read More
How one company is optimizing building data for smarter monitoring
Mapped helps companies discover and utilize data from building systems, sensors and equipment from different vendors.Read More
The Vast Wasteland of Internet Television
When TV came online in the aughts, it was exciting. Then Facebook took over.
The Best Music Streaming Apps to Get Your Groove On
March to the beat of your own drum machine with the best service for new music discovery, sharing with friends, and more.
What Do We Really Know About Mental Illness?
Rachel Aviv’s unflinching and personal new book, Strangers to Ourselves, rejects pat answers in favor of penetrating questions.
The New Range Rover Hybrid Gives Off-Roading an Electric Kick
Land Rover has finally brought out some proper luxury SUV hybrids, and it looks like it was just about worth the wait.
Randall Munroe Is Back to Answer Your Impossible Questions
The xkcd author and former NASA engineer tackles our questions about science education, solvable climate issues, and his latest What If? book.
Intelligent microscopes for detecting rare biological events
Biophysicists have developed control software that optimizes how fluorescence microscopes collect data on living samples. Their control loop, used to image mitochondrial and bacterial sites of division in detail, is released as an open source plug-in and could inspire a new generation of intelligent microscopes.
Advancing human-like perception in self-driving vehicles
How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate in large crowded cities. While humans can imagine complete physical structures of objects even when they are partially occluded, …
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New method for comparing neural networks exposes how artificial intelligence works
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving …
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