Modular quantum computing takes shape with l-couplers
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Ryan Mandelbaum and Neereja Sundaresan
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17 results for AI for Code
IBM and Kaggle launch leaderboard for Java framework migration
Technical noteBridget McGinn, Raju Pavuluri, Advait Pavuluri, Rahul Krishna, Srikanth Tamilselvam, Ashita Saxena, George Safta, and Michele Merlerllm-d 1.0 hardens open-source AI inference for day 2 production operations
ReleasePeter Hess- Topic
How distributed inference keeps large AI models moving
ExplainerPeter HessHow llm-d makes the most of the hardware you already have
NewsPeter HessIBM open sources CodeAlchemy, a massive synthetic dataset of high-quality code
ReleaseKim MartineauIBM’s software engineering agent tops the Multi-SWE-bench leaderboard for Java
NewsPeter HessWatsonx Code Assistant for Z is the Rosetta Stone for mainframes
NewsPeter HessThese new IBM agents will give developers new ways to solve problems — and clear their backlog
NewsMike MurphyWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauSoftware has eaten the world. What now?
Q & AKim MartineauCOBOL programmers are getting harder to find. IBM’s code-writing AI can help
NewsKim MartineauFind and fix IT glitches before they crash the system
NewsKim MartineauContinuing the momentum of AI for Code with Project Wisdom
NewsRuchir PuriHow AI will help code tomorrow’s machines
Deep DiveRuchir Puri7 minute read
