IBM’s watsonx Code Assistant for IBM Z lets developers selectively translate COBOL applications to high-quality Java code.| IBM Research
IBM is working on a range of generative AI technologies meant to make work simpler and more efficient. At Think 2024, some the latest breakthroughs were on display.| IBM Research
IBM is open sourcing family of Granite code models to make coding as easy as possible — for as many developers as possible.| IBM Research
The model uses a state space architecture to outperform time-series models at least 20 times bigger.| IBM Research
IBM Fellow Kush Varshney explains the difference, and provides an update on IBM's latest work to mitigate the safety risks around generative AI.| IBM Research
Researchers deliver first-known empirical evidence that quantum computers could soon solve valuable problems in algorithmic bond trading.| IBM Research
Using the multimodal AI and LLMs BharatGen is working on, it will work with IBM to build the unique tools needed to best serve Indian language speakers.| IBM Research
Explore open-source tools that IBM and its partners are creating to enable seamless integrations of quantum and classical high-performance computing resources.| IBM Research
The RequirementAgent from the BeeAI Framework is an innovative approach that provides the reliability needed for production scenarios made simple.| IBM Research
In new experimental results, the brain-inspired NorthPole research prototype chip has achieved lower latency and higher energy efficiency than comparable GPUs.| IBM Research
A new prototype chip from IBM Research could potentially bring energy-efficient AI to the edge.| IBM Research
IBM Research scientists are working on making AI computing more efficient by shrinking the size of numbers and co-designing hardware to match.| IBM Research
IBM Research scientists are bringing the speed and capacity of fiber optics where they haven’t gone before: inside data centers and onto circuit boards.| IBM Research
IBM Research scientists are working on several new algorithms that equip energy efficient analog processors to train language models.| IBM Research
IBM Research’s AIU prototype AI chip research envisions a future where AI systems are more efficient, less power hungry, and more capable.| IBM Research
At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.| IBM Research
The von Neumann architecture, which separates compute and memory, is perfect for conventional computing. But it creates a data traffic jam for AI.| IBM Research
At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.| IBM Research
At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.| IBM Research
For the AI hardware of tomorrow, IBM Research scientists are taking inspiration from the world’s most efficient computer: the human brain.| IBM Research
NIST released FIPS publications for three quantum-resistant cryptographic algorithms.| IBM Research
Updated Qiskit developer certification exam tests your ability to perform essential quantum computing tasks with the latest version of Qiskit.| IBM Research
Ghazi Sarwat Syed and Gregor Seiler add to IBM Research’s strong history with European Research Council grants.| IBM Research
Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications.| IBM Research
IBM’s collection of LLM guardrail models take six of the top 10 spots on the new GuardBench leaderboard.| IBM Research
The new platform for computational experiments at scale.| IBM Research
IBM is partnering with HackerOne to offer a bug bounty program for Granite, with up to $100,000 in bounty payouts available. The objective is to identify successful jailbreaks of Granite models deployed in enterprise-like settings with guardrails enabled, as businesses look to scale their AI workflows.| IBM Research
IBM and NASA open-source a new AI foundation model for the Sun that could change how we look at solar flares.| IBM Research
A decades-old approach to measuring algorithmic complexity could provide a window into better understanding how AI systems compute.| IBM Research
At Think 2025, IBM Research leaders explored generative computing, and outlined that quantum advantage is just around the corner.| IBM Research
IBM Research’s new "adapted" LoRA can give LLMs specialized capabilities at inference time without the delay.| IBM Research
IBM is exploring a future where generative AI isn’t limited to what’s in the prompt window.| IBM Research
Generative AI models struggle to handle long context, but memory augmentation can reduce their memory footprint, making them more accurate and lightweight| IBM Research
Apply today for free access to cutting-edge IBM quantum capabilities| IBM Research
A look inside the group developing full-stack solutions to AI’s unique computational requirements.| IBM Research
Her research focuses on applying operations research to real-world problems. We spoke to her about OR, AI, and what’s next.| IBM Research
IBM Research is turbocharging algorithm development for a world with quantum computing and AI.| IBM Research
IBM® researchers have devised the fastest, most accurate decoding algorithm for quantum LDPC code error correction.| IBM Research
New tools from IBM Research can help LLM users check AI-generated content for accuracy and relevance and defend against jailbreak attacks.| IBM Research
IBM and Cleveland Clinic show how synthetic gait data may unlock the future of neurological disease monitoring.| IBM Research
Join a community committed to shaping the future of quantum computing.| IBM Research
A roundup of the latest and greatest from IBM Quantum®.| IBM Research
A new open-source framework, TextArena, pits large language models against each other in competitive environments designed to test and improve their communication skills.| IBM Research
Sign up for one of the informational sessions taking place 14-19 August to get a chance at hosting your very own Qiskit Fall Fest event.| IBM Research
We predict the quantum community will uncover quantum advantage by the end of 2026, but how will we know when it's arrived?| IBM Research
The IBM Fellow reflects on copyright law, generative AI, and how he became the face of the modern camera man| IBM Research
IBM® and Moderna achieve one of the largest and most advanced variational executions ever realized on quantum hardware.| IBM Research
New study confirms algorithmic speedup for an oracle-based mathematical problem, showing the potential for algorithm development to enable quantum advantage.| IBM Research
Developers can use the open-source benchmark to build, evaluate, and improve asset management agents in realistic industrial scenarios.| IBM Research
Qiskit Function templates are realistic code examples that speed up development via modular pipelines for building high-quality, reusable quantum workflows.| IBM Research
IBM Quantum Learning is moving to the new IBM Quantum Platform, and to celebrate, we’re releasing new content for Open Plan users.| IBM Research
The goal is to help enterprises move from a fixed maintenance schedule for their equipment to condition-based servicing that could be more cost effective.| IBM Research
Technical release summary for Qiskit SDK v2.0, including updates to the Qiskit SDK's C API.| IBM Research
Preview the hardware and software that will power the first demonstrations of quantum advantage at the second-annual IBM Quantum® Developer Conference.| IBM Research
ZipNN, IBM’s new open-source compression library, can cut AI storage costs by a third, and speed up transfers by up to 150% — with zero performance loss.| IBM Research
The new lab is at the heart of Ireland's oldest university, and will focus on AI and quantum research.| IBM Research
The latest Granite vision model recently came in second on the OCRBench leaderboard, and is the best-performing small model on the chart.| IBM Research
The COBOL language underlies critical business systems, but WCA for Z is using the power of AI to help developers understand and modernize it.| IBM Research
IBM's AgentOps is a set of tools born out of IBM Research for AI builders and engineers to monitor whether the agents they've built are operating as expected.| IBM Research
Dima Krotov is searching for an AI architecture that is both interpretable and could explain how our own memory works.| IBM Research
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IBM’s new foundation model, TSPulse, can go beyond standard forecasting tasks to detect anomalies, fill in missing values, classify data, and search recurring patterns. It’s also tiny enough to run on a laptop.| IBM Research
IBM's Granite Speech 3.3 8B model is the top of Hugging Face's Open automatic speech recognition leaderboard.| IBM Research
The Fast Fourier Transform forever changed the landscape of modern computing. What lessons can it teach us when it comes to quantum algorithm development?| IBM Research
The Safer Materials Advisor can cut by up to two thirds the time it takes to review chemical products for PFAS| IBM Research
Here's how failed experiments make chemical language models more accurate.| IBM Research
In his four decades at IBM Research, T.C. Chen has played a central role in the qualification of generation after generation of semiconductor technologies.| IBM Research
IBM has developed a detailed framework for achieving large-scale fault-tolerant quantum computing by 2029, and we’re updating our roadmap to match.| IBM Research
What a long-overlooked cell in the brain can tell us about cognition and AI architectures.| IBM Research
It’s the algorithm that made internet videos possible. The Cooley-Tukey Fast Fourier Transform was first demonstrated at IBM Research in 1964.| IBM Research
Two new additions to the Qiskit Functions Catalog are the latest of many application functions that integrate quantum computing into application workflows.| IBM Research
Researchers at Hebrew University, IBM, and Yale summarize the latest in AI agent benchmarking and suggest four ways it could be improved.| IBM Research
Understanding the basics of quantum error correction and fault tolerance.| IBM Research
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Explore the past, present, and future of quantum computing| IBM Research
IBM's Agent Communication Protocol gives AI agents a shared language to connect and collaborate to carry out complex, real-world tasks.| IBM Research
Researchers conduct chemistry simulations with sample-based quantum diagonalization (SQD), a prime candidate for near-term demonstrations of quantum advantage.| IBM Research
Newly completed series offers an in-depth, university-level intro to quantum computing fundamentals through four online courses.| IBM Research
IBM Research has co-developed a new way to embed ownership information into synthetic tabular data to discourage its misuse.| IBM Research
The Quantum Optimization Working Group presents ten problem classes — an “intractable decathlon” — to enable the search for quantum advantage in optimization.| IBM Research
The IBM Fellow Emeritus and longtime presidential advisor passed away at age 97.| IBM Research
IBM Research scientists are using AI to track down defects and inefficiencies in silicon wafer processing.| IBM Research
IBM's AI attribution toolkit helps users describe how AI contributed to their work.| IBM Research
IBM Research and IBM Storage partnered to make a “content aware” storage system, which promises to reshape how businesses leverage their vast data estates.| IBM Research
At Think 2025, IBM Research leaders explored generative computing, and outlined that quantum advantage is just around the corner.| IBM Research
The new IBM Quantum access plan lets you conduct high-impact quantum computing research at the pace and scale that best suits your needs.| IBM Research
The open-source LLM combines the sequence-modeling skill of a transformer with the inferencing speed of an SSM. IBM Granite will soon adopt key Bamba features.| IBM Research
Miklós Ajtai applied pure mathematics to computational problems, and Regina Barzilay adapted language model architecture for early cancer detection.| IBM Research
How Quantum Innovation Centers like Keio University in Tokyo are helping large enterprise research organizations explore utility-scale quantum computing.| IBM Research
The new foundation model from IBM and the ESA combines insights from nine types of Earth observation data to provide an intuitive understanding of our planet.| IBM Research
IBM Research's new "adapted" LoRA can give LLMs specialized capabilities at inference time without the delay.| IBM Research
OpenSSL v3.5 enables TLS clients to send multiple key shares and introduces a new group selection algorithm for servers to address the NSA's ‘prefer’ quantum-safe algorithms mandate in CNSA 2.0.| IBM Research
IBM Research’s foundation models are powering simulated versions of complex systems, which promise to accelerate technological progress.| IBM Research
IBM's collection of LLM guardrail models take six of the top 10 spots on the new GuardBench leaderboard.| IBM Research
Inside the IBM z17, the IBM Telum II processor and the IBM Spyre Accelerator, available in Q4 2025, will execute AI workloads at unprecedented speed and scale.| IBM Research
Technical release summary for Qiskit SDK v2.0, including updates on top new features and breaking changes.| IBM Research
An affiliate project of the AI Alliance, TT 1.0 makes it easier to develop and benchmark geospatial models.| IBM Research