MIT Reports Fluxonium Qubit Architecture Achieves Progress on Quantum Error Correction

MIT researchers report they have demonstrated a novel superconducting qubit architecture that can perform operations between qubits with greater accuracy, addressing a roadblock to commercial use of quantum computers: error correction. The researchers utilized a relatively new type of superconducting qubit, known as fluxonium, which can have a lifespan that is longer….

NSF Invests $76M in 4 Physics Frontiers Centers – with an Accent on Quantum

Exploring, understanding and harnessing mysterious phenomena at the frontiers of physics are the aims of four research centers to be backed by $76 million in funding from the U.S. National Science Foundation through its Physics Frontiers Centers program. The centers will tackle some of the most challenging….

NTT, MIT and Other Researchers Demonstrate Optically Accelerated Edge Computing

Sunnyvale, Calif. – May 9, 2023 – Researchers from NTT Research, Inc., the Massachusetts Institute of Technology (MIT) and several optical computing companies have demonstrated an approach to optically driven deep neural networks (DNN) that they say resolves the memory-access bottleneck in resource-constrained edge devices, enabling significant energy usage and latency reductions. Conceived by NTT […]

MIT: New Method Uses ML to Accelerate Data Retrieval in Large Databases

Researchers from MIT and other institutions report that a “hash function” — a core database search operation — can be significantly accelerated through the use of machine learning. The hope is that the new technique could accelerate computational systems that scientists use to store and analyze DNA, amino acid sequences, or other biological information.

MIT AI Policy Forum Virtual Summit Sept. 28 to Explore Challenges Surrounding AI Deployment 

Cambridge, MA — Sept. 22, 2022 — On Wednesday, Sept. 28 from 9 am to 5 pm Eastern Time, the MIT AI Policy Forum will host a free, virtual summit convening leading voices from government, business, and academia to explore the global policy challenges surrounding the implementation of AI technologies. The summit will feature a live […]

Argonne, University Researchers Team to Make Data FAIR for AI

In a new study, researchers from Argonne National Laboratory, Massachusetts Institute of Technology, University of California San Diego, University of Minnesota, and University of Illinois at Urbana-Champaign have laid out new practices to guide the curation of high energy physics datasets that makes them more FAIR — more findable, accessible, interoperable and reusable. Data is the lifeblood […]

Hyperion Research Announces Winners of HPC Innovation Excellence Awards

Hyperion Research today announced the 17th round of recipients of the HPC Innovation Excellence Award. The award winners are: National Center for Atmospheric Research (NCAR). Better wildfire models save property and life. Refined fidelity of predictive models, using AI. Contact: Branko Kosovic, Director of the Weather Systems and Assessment Program and the Program Manager for Renewable […]

MIT: Forcing ML Models to Avoid Shortcuts (and Use More Data) for Better Predictions

CAMBRIDGE, Mass. — If your Uber driver takes a shortcut, you might get to your destination faster. But if a machine learning model takes a shortcut, it might fail in unexpected ways. In machine learning, a shortcut solution occurs when the model relies on a simple characteristic of a dataset to make a decision, rather […]

MIT: Blockchain Could Secure Robot Team Communications

CAMBRIDGE, Mass., Oct. 5, 2021 — Imagine a team of autonomous drones equipped with advanced sensing equipment, searching for smoke as they fly high above the Sierra Nevada mountains. Once they spot a wildfire, these leader robots relay directions to a swarm of firefighting drones that speed to the site of the blaze. But what […]

May 6-7: AI Policy Forum to Present Proposals for Managing Impacts, Building More Equitable Systems

On Thursday, May 6 and Friday, May 7, the AI Policy Forum – a global effort convened by researchers from MIT – will present their initial policy recommendations aimed at managing the effects of AI and building AI systems that better reflect society’s values. Recognizing that there is unlikely to be any singular national AI […]