Mathematicians explore ideas by proposing conjectures and proving them with theorems. For centuries, they built these proofs line by careful line, and most math researchers still work like that today. But artificial intelligence is poised to fundamentally change this process. AI assistants nicknamed “co-pilots” are beginning to help mathematicians develop proofs—with a real possibility this will one day let humans answer some problems that are currently beyond our mind’s reach.
MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of reinforcement learning across a wide range of applications.
We’ll break down the key points of the patents and make them as understandable as possible. This new patent is likely how Tesla will implement FSD on non-Tesla vehicles, Optimus, and other devices.
Decision Making
Imagine a neural network as a decision-making machine. But building one also requires making a series of decisions about its structure and data processing methods. Think of it like choosing the right ingredients and cooking techniques for a complex recipe. These choices, called “decision points,” play a crucial role in how well the neural network performs on a given hardware platform.
The biggest battleground in the robotaxi race may be winning public trust.
Autonomous vehicles are already clocking up millions of miles on public roads, but they face an uphill battle to convince people to climb in to enjoy the ride.
A few weeks ago, I took a tour of San Francisco in one of Waymo’s self-driving cars. As we drove around the city, one thing that struck me was how comfortable people had become with not seeing a driver. Not only were there multiple driverless vehicles on any given street at any given time, but tourists no longer had their mouths agape as one drove by. The technology has become a familiar sight.
Inside the vehicle itself, there were signs of how Waymo is trying to inspire a similar feeling among their passengers. The all-electric car offers a warm welcome to passengers by name and plays music as they climb inside. A screen positioned in front of the rear seats offers those along for the ride the option of seeing a follow-along map of the route, as well as settings for temperature and music. Another screen beside the steering wheel shows images of what’s around the vehicle. As we drive, I can see people sitting inside buses alongside us, dogs crossing the street ahead and children skipping along the sidewalk.
OpenScholar, an innovative AI system by Allen Institute for AI and University of Washington, revolutionizes scientific research by processing 45 million papers instantly, offering researchers citation-backed answers and challenging proprietary AI systems.
