“In popular science films, a nerve impulse is presented as a kind of signal that travels through nerve cells like wires. We perceive this as a biologic…
Even before they speak their first words, human babies develop mental models about objects and people. This is one of the key capabilities that allows …
Deep reinforcement learning—where machines learn by testing the consequences of their actions—is one of the most promising and impactful areas of artif…
Self-driving car startup Aurora is ready to go public in a reverse merger with Reinvent Technology Partners Y, a special acquisition company (SPAC). Th…
In a new paper, researchers at OpenAI have revealed details about Codex, a deep learning model that generates software source code. The paper is a fasc…
The current trend in the artificial intelligence community is poised on solving problems mostly by creating bigger neural networks. This approach has l…
In an essay for TechTalks, Herbert Roitblat, data scientist and author of Algorithms Are Not Enough, explains why rewards are not enough to build artif…
OpenAI has once again made the headlines, this time with Copilot, an AI-powered programming tool jointly built with GitHub. Built on top of GPT-3, Open…
Deep neural networks will move past their shortcomings without help from symbolic artificial intelligence, three pioneers of deep learning argue in a p…
While most self-driving car companies have been using a combination of computer vision and lidar sensors, Tesla has been a vocal champion for the pure …
Everyone thinks that the human brain is a kind of biological computing machine that works according to certain algorithms, and intelligence can be comp…
Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component o…