For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
Artificial intelligence entrepreneur and neuroscience researcher Max Bennett has a fascinating thesis in A Brief History of ...
By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...
This great reversal has been a shock. We built machines that mastered what we thought was uniquely human before they mastered ...
Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
The use of clouds has taken a significant step forward beyond workloads and virtual machines. Containers, Kubernetes, ...
The rise of AI adoption in manufacturing is real, but it's being driven by business outcomes, not technological complexity.
The review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...
Like so many men before him, he wasn’t getting it. “Don’t think of it as an editor’s letter,” he wrote. “Think of it as a ...
University of Maryland professor Mumu Xu and her students trained an artificial intelligence model to play the 1992 Nintendo ...
More than a year after leaving OpenAI, company cofounder Andrej Karpathy has returned with a hands-on demonstration of what ...
Market manipulation is an old issue. People try to make money off unsuspecting investors by artificially influencing the price of a stock. But what about when the one manipulating markets isn't human?