Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...

A proof of concept used OpenClaw's localhost dashboard inside VS Code's integrated browser to compare it directly with Copilot on the same SKILL.md file, finding that OpenClaw delivered broader, more ...

Jury found tech firms treated addictiveness as a feature, not a bug ...

Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...

ABSTRACT: Bipolar disorder (BD) is closely intertwined with abnormalities in sleep and circadian regulation, yet current clinical management typically applies heuristic rules rather than optimizing ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...

We all use LLMs daily. Most of us use them at work. Many of us use them heavily. People in tech — yes, you — use LLMs at twice the rate of the general population. Many of us spend more than a full day ...

Reinforcement Learning is at the core of building and improving frontier AI models and products. Yet most state-of-the-art RL methods learn primarily from outcomes: a scalar reward signal that says ...