Building policy enforcement into the AI stack with Praxis
From inference through gateways, agents, and policy controls, the Praxis Policy Engine is a programmable security guard for AI agents.
Sources / IBM Research
IBM Research
News · Official site ↗ · RSS · JSON Feed
Chicago’s bid to lead the country in quantum computing
New IBM Quantum System Two supports Illinois’ place at the center of the American quantum computing industry.
How MEMS inertial sensors can rival GPS
A breakthrough in self-calibration technology is revitalizing an old form of navigation.
ORNL, IBM, AMD launch co-design platform for QEC
The U.S. DOE’s Quantum Science Center at Oak Ridge National Lab is leading the integration of IBM quantum hardware with ORNL HPC clusters, powered by AMD.
Ponder This Challenge - November 2026 - The SumSum
How Zurich is shaping the future of algorithms, 70 years in
As IBM's Zurich Lab turns 70, director Alessandro Curioni speaks about the celebrations, his work on Algorithms & Applications, and his vision for the future.
Modular quantum computing takes shape with l-couplers
IBM researchers achieve a critical advance for scaling quantum computers.
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.
PyTorch opens the AI ecosystem to a new accelerator class
IBM has made Spyre a first-class PyTorch backend, giving developers the same workflows across devices.
IBM supports award-winning projects in NEDO Challenge
Teams across all three tracks of Japan's national quantum competition used IBM quantum computers during research on real-world applications.
Qiskit SDK v2.6 release summary
Technical release summary for Qiskit SDK v2.6, including updates on top new features.
A new plugin can enable fast runtime monitoring and control
IBM's vLLM-Hook MIA lets developers inspect and edit the AI generation process with hardly any delay.
llm-d 1.0 hardens open-source AI inference for production
The distributed inference framework makes serving large models on your own infrastructure reliable and affordable for the agentic era.
New course teaches how AI models run on modern accelerators
'Dataflow Architectures for AI' is a 6-course specialization from IBM Research that compares leading accelerator architectures through hands-on labs.
Preparing chip designers for the nanostack era
IBM is releasing a process design kit for our groundbreaking 0.7-nanometer transistor architecture.
Scaling AI-driven chip design with open agent factories
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.
How distributed inference keeps large AI models moving
Distributed inference serving is an air traffic control tower for AI traffic, and agentic workflows make it more necessary than ever.
What's new at IBM Quantum Q3 2026
Explore the latest updates, releases, and resources from IBM Quantum and the Qiskit community.
Qiskit beyond Python: Fortran, C++, and Julia
Qiskit’s C API connects the SDK’s Rust core to the languages of HPC and scientific computing, so you can build and run circuits natively—no Python required.
Directed execution: same performance, more control
See, customize, and extend how your circuits use the error mitigation and correction methods researchers are exploring today on IBM quantum hardware
In the daily digest
9 November 2026,6 November 2026,5 November 2026,31 October 2026,29 October 2026