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IBM Research
research.ibm.com > blog > time-series-ai-enterprise

IBM has a time-series model for every task

2+ day, 16+ hour ago  (334+ words) Updated versions of our popular time series models are best-in-class for point and probabilistic forecasting, and leaders in efficient inferencing. Time-series data comes in many forms, and with many potential applications. That means no single forecasting method can work best…...

IBM Research
research.ibm.com > blog > quantum-centric-supercomputing-system-reference-architecture

Unveiling the first reference architecture for quantum-centric supercomputing

3+ week, 21+ hour ago  (1033+ words) Unveiling the first reference architecture for quantum-centric supercomputing'IBM Research As researchers look to extend classical solvers with quantum computing, the central question that emerges is how to build a performant stack that can intuitively handle different computational blocks. Whereas CPUs…...

IBM Research
research.ibm.com > blog > pytorch-support-ibm-spyre

Building PyTorch-native support for the IBM Spyre Accelerator

4+ week, 42+ min ago  (516+ words) We recently published our 1H 2026 roadmap for enabling the IBM Spyre Accelerator in the PyTorch ecosystem. In a companion technical note, we described the hardware " its 32 active AI cores, mixed-precision SIMD-systolic arrays, and programmable dataflow design. Here, we wanted to walk…...

IBM Research
research.ibm.com > blog > terrastackai

TerraStackAI: Bringing Earth and space AI to Red Hat and the world

4+ week, 2+ day ago  (559+ words) This is a companion piece to the Red Hat blog announcing enterprises can now serve Earth and space AI models on Red Hat AI Inference Server. Across disciplines, advances in computational mathematics are transforming how large-scale scientific data is analyzed,…...

IBM Research
research.ibm.com > blog > accelerating-qpus-with-gpus

A glimpse at computing’s quantum-centric future

2+ mon, 5+ day ago  (601+ words) IBM is the leader in quantum computing'but our vision encapsulates the future of computing overall. In reality, quantum will be one piece of a paradigm combining every computing tool we have available to solve problems beyond anything that's possible today....

IBM Research
research.ibm.com > blog > interview-with-mellea-lead-engineers

Meet the IBM researchers trying to make LLMs smarter

2+ mon, 1+ week ago  (853+ words) The tech leads behind IBM's new software library, Mellea, explain how it works and why giving language models explicit requirements can improve performance and lower costs. Large language models still dominate AI leaderboards, but a new class of lighter weight…...

IBM Research
research.ibm.com > blog > bamba-ssm-transformer-model

IBM crossed a transformer with an SSM and got ‘Bamba’

11+ mon, 4+ day ago  (902+ words) In collaboration with CMU, Princeton, and University of Illinois, IBM Research built an open-source LLM that combines the expressive power of a transformer with the runtime speed of a state-space model. Key features will soon be added to IBM Granite…...

IBM Research
research.ibm.com > blog > how-ibm-research-helped-prepare-the-ibm-z17-for-tomorrows-workloads

How the IBM z17 was prepared for tomorrow’s workloads

11+ mon, 3+ week ago  (875+ words) At the heart of IBM z17 lies the IBM Telum II processor and the IBM Spyre Accelerator. The culmination of years of work by dozens of researchers, these devices are designed to execute AI workloads at unprecedented speed and scale. Today,…...