The Stanford University Foundation Model Transparency Index has ranked IBM Granite number one this year — with the highest score in the history of the index.

We’ve built a technology that speaks like a sage but thinks like a spreadsheet.

YouTube video by IBM Research

New tools from IBM Research can help LLM users check AI-generated content for accuracy and relevance and defend against jailbreak attacks.

A culture that views knowledge as a means to an end invites the misuse of new technology

Chinasa T. Okolo discusses how Africa can ensure AI progress serves the contitnent's broader goals of social and economic empowerment.

The IBM Fellow reflects on copyright law, generative AI, and how he became the face of the modern camera man

When you observe your mind without being swept away, you take back control from unconscious, emotional thinking—the kind that fuels rash decisions and poor leadership.

A new AI-driven framework that is grounded in the distinct needs of the underserved is creating a blueprint for the future of finance around the world.

Evaluating AI model outputs at scale is a major challenge for teams using LLMs, especially when assessing nuanced qualities like politeness, fairness, and tone that traditional benchmarks miss. IBM Re...

EvalAssist simplifies LLM-as-a-Judge by supporting users in iteratively refining evaluation criteria in a web-based user experience.

YouTube video by Nicholas Renotte

Modern thinking machines owe their existence to insights from the physics of complex materials.

An attribution statement identifies not only the presence of AI involvement, but also how AI was used. This approach makes important distinctions between different types and amounts of AI…

A new method called self-disciplined autoregressive sampling (SASA) allows large language models to detoxify their own outputs, without sacrificing fluency.

Come join us as we explore creating AI systems that prioritize human trust and agency in a fun and interactive event!

IBM’s collection of LLM guardrail models take six of the top 10 spots on the new GuardBench leaderboard.

by Kush Varshney (IBM Research, US)

by Kush Varshney (IBM Research, US)

Why tech companies need to rethink social impact.

YouTube video by IBM Technology

A fresh view of intelligence — spanning living systems from bacteria to human civilization — challenges the idea that it’s merely problem-solving.

AI development is currently overly focused on individual model capabilities, often ignoring broader emergent behavior, leading to a significant underestimation…

At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.

The Parry-Lord oral-formulaic theory was a breakthrough in understanding how oral narrative poetry is learned, composed, and transmitted by illiterate bards. In this paper, we provide an annotated rea...

We’re excited to announce a preview release of new reasoning capabilities in our Granite family of large language models.

1. Grouped Reward Policy Optimization The goal of this short blog is to understand GRPO that was used successfully to train Deepseek models. We will limit our analysis to binary rewards or what Tulu a...

The Stop AAPI Hate coalition joins widespread demand for Congress to protect Constitutional right to citizenship for all those born in the U.S.

A Strategy Memo for Humans, 2025 and Beyond