AI

IBM Research AI: Advancing AI for industry and society

Extending 8-bit training breakthroughs to the toughest deep learning models

At NeurIPS 2019, IBM Research continues to advance its 8-bit training platform to improve performance and maintain accuracy for the most challenging emerging deep learning models.

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Addressing open fundamental questions in reinforcement learning

New IBM research presented at NeurIPS 2019 introduces an innovative probabilistic framework for reinforcement learning that helps address three open questions central to the technology.

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Nanosheet Technology for the Computing Era of AI and 5G

At IEDM, the top conference for semiconductor device technology, IBM Research presents the latest progress in nanosheet technology, including new critical features for high performance computing.

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Quantum-Inspired Logical Embedding for Knowledge Representation

In our new paper, to be presented at NeurIPS 2019, we develop a new knowledge representation, which we call “quantum embedding”, that represents conceptual knowledge using a vector space representation that preserves its logical structure and allows reasoning tasks to be solved accurately and efficiently.

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Learning and Characterizing Causal Graphs with Latent Variables

Researchers from the MIT-IBM Watson AI Lab developed a new approach to characterize the set of plausible causal graphs from observational and interventional data that has latent variables.

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IBM Research Develops AI to Greatly Improve Tea Inspection

When you drink that cup of tea, you sure don’t want any fluff floating there. That’s the most critical step in tea production – removing impurities, be it stems, seeds, stones or even bugs. If they do make it into your drink, the brand may get fined; at the very least, you probably won’t buy […]

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More Is Less: Learning Efficient Video Representations

IBM researchers developed a novel low memory footprint and efficient architecture for spatio-temporal analysis of video. The results show strong performance on several benchmarks – and allow training of deeper models using larger sequences of input frames, which will lead to higher accuracy on video action recognition tasks.

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Sobolev Independence Criterion

At NeurIPS 2019, IBM Research AI will showcase the “Sobolev Independence Criterion," a novel interpretable dependency measure that provides feature importance scores that can be used for controlling False Discovery Rate.

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IBM Research AI at NeurIPS 2019

IBM researchers from our labs around the world will present more than 100 papers across regular sessions and workshops at NeurIPS. They are all focused on different core technologies and use cases of AI. And a number of them will be on display in booth #111 with demos scientists will be presenting throughout the week.

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Augmenting Humans: IBM’s Project Debater AI gives human debating teams a hand at Cambridge

Two teams, sparring on a controversial topic — whether artificial intelligence would bring more harm than good — the Thursday night debate in front of 300-strong audience seemed rather typical for Cambridge Union, the world’s oldest debating society. Except it wasn’t.

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Archaeologists Seek to Unearth Mysterious Geoglyphs in Peru Using IBM AI and Geospatial Data

After uncovering a new Nasca Line formation with IBM Watson Machine Learning Accelerator on IBM Power Systems, Yamagata University will deploy IBM PAIRS in the hopes of further discoveries with AI.

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