IBM and Kaggle launch Java framework migration leaderboard
ScarfBench evaluates model-and-agent-harness combinations for enterprise Java migration, pairing migration validation with reproduced runs and a leaderboard.
ScarfBench evaluates model-and-agent-harness combinations for enterprise Java migration, pairing migration validation with reproduced runs and a leaderboard.
IBM researchers achieve a critical advance for scaling quantum computers.
IBM has made Spyre a first-class PyTorch backend, giving developers the same workflows across devices.
Teams across all three tracks of Japan's national quantum competition used IBM quantum computers during research on real-world applications.
Technical release summary for Qiskit SDK v2.6, including updates on top new features.
IBM's vLLM-Hook MIA lets developers inspect and edit the AI generation process with hardly any delay.
The distributed inference framework makes serving large models on your own infrastructure reliable and affordable for the agentic era.
'Dataflow Architectures for AI' is a 6-course specialization from IBM Research that compares leading accelerator architectures through hands-on labs.
IBM is releasing a process design kit for our groundbreaking 0.7-nanometer transistor architecture.
Open models and llm-d enabled IBM Research to explore quantum error correction hardware at 11.5× lower inference cost than an all-proprietary configuration.