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: New Method Uses ML to Accelerate Data Retrieval in Large Databases
March 14, 2023 by Leave a Comment
MIT AI Policy Forum Virtual Summit Sept. 28 to Explore Challenges Surrounding AI Deployment
September 22, 2022 by
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
February 15, 2022 by
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
January 26, 2022 by
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
November 3, 2021 by
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
October 5, 2021 by
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
May 3, 2021 by
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 […]
MIT: Researchers’ Algorithm Designs Soft Robots that Sense
March 22, 2021 by
CAMBRIDGE, MA — March 22, 2021 — There are some tasks that traditional robots — the rigid and metallic kind — simply aren’t cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip into tight spaces with ease. But for robots to reliably complete their […]
MIT Researchers: Promise for Nonsilicon Computer Transistors
December 9, 2020 by
For decades, one material has so dominated the production of computer chips and transistors that the tech capital of the world — Silicon Valley — bears its name. But silicon’s reign may not last forever. MIT researchers have found that an alloy called InGaAs (indium gallium arsenide) could hold the potential for smaller and more […]
SC20 Announces Record Number of Teams for Annual Student Cluster Competition
September 25, 2020 by
This year’s Student Cluster Competition at SC20 will include two firsts: it will involve the most number of teams (19) in the competition’s 14-year history, and it will for the first time be held completely virtually. “This year’s Student Cluster Competition will be very different, as it will be 100 percent cloud-based,” explained SC20 SCC […]
