Towards Human-Level Intelligence
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Hardware and the Physics of AI
IBM Research AI
Advancing AI for industry and society
IBM Research has been exploring artificial intelligence and machine learning technologies and techniques for decades. We believe AI will transform the world in dramatic ways in the coming years – and we’re advancing the field through our portfolio of research focused on three areas: towards human-level intelligence, platform for business, and hardware and the physics of AI.
We’re also working to accelerate AI research through collaboration with like-minded institutions and individuals to push the boundaries of AI faster – for the benefit of industry and society.
IBM Research AI publications
Browse our latest artificial intelligence publications spanning a wide range of disciplines.
Hardware and architectures for AI
Natural language processing
Recurrent neural networks
Featured AI projects
Hardware Accelerators Based on Analog Memory Devices
Scientists at IBM Research - Almaden in San Jose, Calif. demonstrated for the first time analog computing with the same levels of accuracy as GPUs using the prototype system in the photo.
Project Debater: An AI system that can debate humans on complex topics
Project Debater digests massive texts, constructs a well-structured speech on a given topic, delivers it with clarity and purpose, and rebuts its opponent. Eventually, Project Debater will help people reason by providing compelling, evidence-based arguments and limiting the influence of emotion, bias, or ambiguity.
IBM Scientists Demonstrate In-memory Computing with 1 Million Devices for Applications in AI
IBM scientists have demonstrated that an unsupervised machine-learning algorithm, running on one million phase change memory (PCM) devices, successfully found temporal correlations in unknown data streams. When compared to state-of-the-art classical computers, this prototype technology is expected to yield 200x improvements in both speed and energy efficiency, making it highly suitable for enabling ultra-dense, low-power, and massively-parallel computing systems for applications in AI.
IBM scientists demonstrate 10x faster large-scale machine learning using GPUs
Together with EPFL scientists, our IBM Research team has developed a scheme for training big data sets quickly. It can process a 30 Gigabyte training dataset in less than one minute using a single graphics processing unit (GPU) — a 10× speedup over existing methods for limited memory training. The results, which efficiently utilize the full potential of the GPU, are being presented at the 2017 NIPS Conference in Long Beach, California.
Latest news and research
Browse IBM Research's most recent AI news, projects, and publications. Visit our blog to see the latest from IBM Research.
IBM Scientists Demonstrate Analog Computing with GPU-level Accuracy
Scientists from IBM Research - Almaden in San Jose, Calif. demonstrated for the first time analog computing at the same accuracy of GPUs using a prototype chip and system.
Expanding AI’s Field of Computer Vision at CVPR 2018
IBM Research AI will present multiple technical papers and host two workshops at CVPR 2018.
Contrastive Explanations Help AI Explain Itself by Identifying What is Missing.
for Analog Accelerators
< Computational Biologists Find Inspiration for Machine Learning Cell Cycle Sorting Method in an Unlikely Place
< Pairing AI with Optical Scanning for Real-World Product Authentication
IBM Research achieves record deep learning performance with new software technology
10x faster large-scale machine learning using GPUs
Disentanglement of Latent Factors of Variationl Movement Disorders Clinic with Deep Learning
In-memory Computing with 1 Million Devices for Applications in AI
AI bias will explode in the next 5-years and only the unbiased will survive.
Experience IBM Research AI at our interactive booth.
The annual Conference on Computer Vision and Pattern Recognition (CVPR), a premier event in computer vision, takes place this month in Salt Lake City. CVPR is a highly competitive conference and accepted fewer than 1,000 of 3,300 submissions in 2018. IBM Research AI will present multiple technical papers and host two workshops at CVPR 2018. IBM Research is a platinum sponsor of CVPR 2018 and will be at the conference expo at booth #845. Join us in Salt Lake City!
At ICLR 2018, IBM Research will present technical papers on adversarial learning, self-organizing networks for multi-task learning, open-domain question answering, disentanglement of representations, reinforcement learning, and deep learning for graphical data.
At the 32nd AAAI conference on artificial intelligence, IBM will share significant progress from its AI research team, including technical papers as well as results from the company’s ongoing collaboration with academic institutions through the MIT IBM Watson AI Lab and the AI Horizons Network.