IBM Unveils Granite Time Series PatchTST-FM-r2 for Zero-Shot Forecasting

IBM has released the Granite Time Series PatchTST-FM-r2 model, enhancing zero-shot forecasting capabilities with a commercial-friendly license.

IBM has released the Granite Time Series PatchTST-FM-r2 model, enhancing zero-shot forecasting capabilities with a commercial-friendly license.

IBM and Confluent have introduced a groundbreaking approach to real-time data analysis through their new Time Series Foundation Models, enabling businesses to make critical decisions based on streaming data.

The MIT-IBM Computing Research Lab is fostering a unique collaboration that transforms theoretical research into practical applications in AI and quantum computing.

Red Hat has announced a cap on AI token spending for its developers, limiting usage to $300 per month and prohibiting sharing of allowances.

Granite 4.2 marks a significant advancement in reasoning-focused language models, showcasing a robust architecture and innovative training methodologies.

IBM has announced a new chip designed to execute Arm and IBM Z instructions simultaneously, aiming to enhance software compatibility for its mainframe systems.

IBM's ALTK-Evolve introduces a nuanced approach to agentic memory, demonstrating that the effectiveness of memory in AI models is not a one-size-fits-all solution.

A serious vulnerability in IBM's Langflow AI platform allows unauthorized remote code execution, prompting urgent action for affected users.

IBM reassures investors that recent software deal delays are temporary, attributing them to shifts in customer spending towards AI infrastructure.

The LF AI & Data Foundation introduces DocLang, an AI-friendly document format aimed at improving the interaction between AI systems and digital documents.