2025-10-07
For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI.
IBM is betting the blocker isn't building AI agents but governing them in production.
At its TechXchange 2025 conference today, IBM unveiled a series of capabilities designed to bridge the gap: Project Bob, an AI-first IDE that orchestrates multiple LLMs to automate application modernization; AgentOps for real-time agent governance; and the first integration of open-source Langflow into Discover Copy
2025-10-02
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]
2025-08-20
Last year, the most powerful geomagnetic storm in 20 years hit Earth. It produced stunning aurora displays in parts of the US that are normally too far south to see them. Normally, such storms are a h [...]
2025-09-30
Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The [...]
2025-09-29
DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability.The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that [...]
2025-10-01
Slack is fundamentally reshaping how artificial intelligence agents access and use enterprise data, launching new platform capabilities that allow developers to tap directly into the rich conversation [...]
2025-10-07
Some of the largest providers of large language models (LLMs) have sought to move beyond multimodal chatbots — extending their models out into "agents" that can actually take more actions [...]