Our newest freely available quantum computing system takes one more step toward bringing the lab to the cloud. It features pulse-level control, and when coupled with today’s release of the new version of Qiskit (version 0.14), any IBM Quantum Experience user now has the ability to construct schedules of pulses and execute them. The role of experimental quantum physicist is now available to anyone with internet access.
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.
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.
At the Q2B 2019 Conference, IBM announced that Stanford University’s Q-Farm initiative, a collaborative with the SLAC National Accelerator Laboratory, has joined the IBM Q Network. As a member organization, Q-FARM will collaborate with IBM to accelerate joint research in quantum computing and develop curricula to help prepare students for careers that will be influenced by this next era of computing across science and business.
Researchers from the IBM AI Hardware Center will showcase at IEDM and NeurIPS new analog devices, algorithmic and architectural solutions, a novel model training technique, and a full custom design.
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.
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.
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.
AI-powered technology will aid smallholder coffee farmers and help reduce global poverty in the coffee sector by 2030 A smart, AI-powered paper device the size of a business card dubbed the IBM AgroPad can remotely and quickly analyze soil samples for chemical composition – and could help smallholder coffee farmers save money and improve sustainability. […]
In the paper “Integrated gallium phosphide nonlinear photonics”, recently published in the peer-reviewed journal Nature Photonics, we report on the development of high-performance photonic devices made of the crystalline semiconductor gallium phosphide. This work represents a breakthrough in the manipulation of light with semiconductor materials integrated on a chip. It opens the door to a […]
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 […]
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.