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 ...

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 ...

ABSTRACT: Personalized dosing of mood stabilizers remains challenging due to substantial inter-individual variability in symptom severity, treatment responsiveness, and vulnerability to adverse ...

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 ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...