Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

OpenAI launches GPT-5.4, calling it its most capable and efficient AI model yet, with AI agents, computer control, improved reasoning, and a 1M-token context.

When an app needs data, it doesn't "open" a database. It sends a request to an API and waits for a clear answer. That's where FlaskAPI work fits in: building ...

Learn how to secure Model Context Protocol (mcp) deployments with post-quantum cryptographic agility and granular resource governance to prevent quantum threats.

Cove Street Capital analyzes the AI market mania and shifting software valuations. Read the full analysis for more details.

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

Anthropic is aiming to lure customers from ChatGPT and Gemini with a new memory import tool that's available to free users as of today. Conversations and memories from other AI providers can be ...