Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a combination of symbolic programs and neural networks. These concepts are grounded ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...

AutoDiscovery, formerly AutoDS, is now available in AstaLabs, part of the scientific AI ecosystem from Ai2 named Asta that allows the analysis, summarization and search of more than 108 million ...

The Cockroach Labs report suggests many enterprises already see a breaking point ahead. Eighty-three percent of respondents ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Last week, I developed the agentic AI brainstorming platform, an application that lets you watch two AI personalities (Synthia and Arul) have intelligent conversations about any marketing topic you ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...