IBM and the European Space Agency (ESA) today launched TerraMind, a new open-source AI model with an “intuitive” understanding of Earth. According to the research team, the system is the best-performing AI model for Earth observation. In an ESA-led evaluation, TerraMind beat 12 leading AI models on the PANGAEA benchmark — a community standard for Earth observation. The model excelled at various real-world tasks, including land cover classification, change detection, and multi-sensor analysis. On average, it outperformed other models by 8% or more. “To me, what sets TerraMind apart is its ability to go beyond simply processing earth observations with…This story continues at The Next Web [...]
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 [...]
In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction.The 114-y [...]
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 Te [...]
On Tuesday, Anthropic published tools that let Claude read, analyze and translate legacy COBOL into modern languages like Java and Python. By the end of the trading day, investors had wiped roughly $4 [...]
At the start of the month, Elon Musk announced that two of his companies — SpaceX and xAI — were merging, and would jointly launch a constellation of 1 million satellites to operate as orbital d [...]
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several visio [...]