ALTK-Evolve: Enhancing AI Agents with On-the-Job Learning
IBM's ALTK-Evolve introduces a long-term memory system for AI agents, enabling them to learn from past interactions and improve their performance in complex tasks.
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IBM and Arm Collaborate to Enhance AI Support on Mainframes
IBM and Arm are joining forces to enable Arm software on IBM's enterprise systems, targeting AI and data-intensive workloads.
Granite 4.0 3B Vision: A New Era in Document Understanding
IBM unveils Granite 4.0 3B Vision, a sophisticated vision-language model tailored for extracting information from complex enterprise documents.
MIT-IBM Watson AI Lab: A Catalyst for Early-Career Faculty Success
The MIT-IBM Watson AI Lab is fostering the growth of early-career faculty by providing essential resources and collaborative opportunities, shaping the future of AI research.
Introducing Granite 4.0 1B Speech: A Compact Multilingual Model for Edge Applications
IBM unveils Granite 4.0 1B Speech, a streamlined speech-language model designed for enterprise use, enhancing multilingual automatic speech recognition and translation capabilities.
IBM and UC Berkeley Unravel the Failures of Enterprise Agents with IT-Bench and MAST
A collaboration between IBM Research and UC Berkeley has led to significant insights into the failures of agentic systems in IT automation, utilizing the ITBench benchmark and the MAST taxonomy.
IBM CEO Challenges Tech Giants on AI Strategy
IBM's CEO has called out major tech companies like Google, Amazon, and Microsoft, questioning their approach to AI and its implications for the industry.
