6 results for “Granite”
IBM Research released the Granite Time Series PatchTST-FM-r2 model on Hugging Face under an Apache 2.0 license. The open-weight 0.4B model removes key adoption barriers for enterprises.
IBM and Confluent brought Granite Time Series models to Early Access on Confluent Cloud, letting teams run forecasting and anomaly detection on streaming data via Flink SQL — without a separate ML stack.
MIT News profiled three researchers who moved from the MIT-IBM Computing Research Lab to IBM Research, turning PhD work on reinforcement learning, trustworthy AI, and quantum theory into production systems. Their projects address deployment bottlenecks in agent adaptability, runtime safety, and provable quantum advantage.
IBM and OpenAI announced a strategic partnership embedding GPT-5.6, Codex, and ChatGPT Work into IBM Consulting Advantage. The deal creates a dedicated OpenAI practice with thousands of certified consultants and expands cybersecurity collaboration through IBM Autonomous Security.
Hugging Face research shows top ASR models reproduce benchmark transcripts even when audio contradicts them. The study found models with the lowest reported error rates were most likely to regurgitate incorrect reference texts, overstating real-world performance.
Liquid AI has released the LFM2.5 model family, a comprehensive suite of open-weight models designed to run entirely on edge devices without cloud. The LFM2.5 releases address three critical constraints that have limited on-device AI.