10 years later, deep learning ‘revolution’ rages on, say AI pioneers Hinton, LeCun and Li
On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the ‘revolution’ will continue.Read More
On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the ‘revolution’ will continue.Read More
Peiter “Mudge” Zatko’s allegations about the social media platform renewed a sense of urgency for lawmakers to rein in Big Tech.
At a high-profile meeting in Geneva, international negotiators are moving closer toward developing rules for space actors in low Earth orbit and beyond.
Your old earbuds might not be cutting it for school or work. Here are some nice discounts on WIRED-tested favorites.
WIRED talked to Jane Jensen about her prolific publishing, shape-shifting dogs, and the hope of seeing Gabriel Knight 4.
Dynamic Island is fun, and the Always-on Display is a nice perk. But the cameras aren’t a huge leap over predecessors.
A team 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 cars.
Scientists explore the potential uses of integrated unmanned aerial vehicles and mobile robots for public good.
There has been a lot of interest in mobile robots and unmanned aerial vehicles (UAVs) in recent times, primarily because these technologies have the potential to provide us with immense benefits. With the rise of 5G technology, it is expected that UAVs or drones and mobile robots will efficiently and safely provide a wide range …
Read more “Intelligent cooperation to provide surveillance and epidemic services in smart cities”
Posted by Daniel Rebain, Student Researcher, and Mark Matthews, Senior Software Engineer, Google Research, Perception Team An important aspect of human vision is our ability to comprehend 3D shape from the 2D images we observe. Achieving this kind of understanding with computer vision systems has been a fundamental challenge in the field. Many successful approaches …