Browsing LLSC in the News by Title
Now showing items 1-20 of 83
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2020 IEEE Boston Section Distinguished Service Award Recipient
(IEEE Boston, 2021-08-23)The 2020 recipient of the IEEE Boston Section’s “Distinguished Service Award” (DSA) is Dr. Albert Reuther. -
ACAS X Provides Next-Generation Collision Avoidance
(2023-09-28)ACAS X is a family of collision avoidance systems that use machine learning to optimize traffic alerts, resulting in dramatically reduced nuisance alerting and improved safety. -
AI Accelerates Problem-solving in Complex Scenarios
(MIT News, 2023-12-05)Researchers from MIT and ETH Zurich have developed a new, data-driven machine-learning technique that could be applied to many complex logistical challenges, such as package routing, vaccine distribution, and power grid ... -
Air Force Pilots Get an AI-Assist With Scheduling Aircrews
(MIT News, 2021-07-08)Scheduling C-17 aircraft crews is complicated. It’s a pain point for Airmen of 52 squadrons who operate C-17s, the military cargo aircraft that transport troops and supplies globally. This year, the Air Force marked four ... -
An algorithm with an eye for visibility helps pilots in Alaska
(MIT Lincoln Laboratory, 2019-06-17)In remote areas of Alaska, pilots check current or forecasted weather conditions before they fly, but a lack of automated weather observation stations throughout the Alaskan bush makes it hard to know exactly what to expect. ... -
Ancient Amazonians Intentionally Created Fertile “Dark Earth”
(MIT News, 2023-09-20)The Amazon river basin is known for its immense and lush tropical forests, so one might assume that the Amazon’s land is equally rich. In fact, the soils underlying the forested vegetation, particularly in the hilly uplands, ... -
Award-Winning Laboratory Technology Aims to Prevent Aircraft Collisions
(2023-12-18)A next-generation collision avoidance system will help pilots and unmanned aircraft safely navigate the airspace. -
Award-Winning Tools Enable Agencies to Efficiently and Easily Analyze Surveillance Footage
(2021-08-09)Closed-circuit television and other surveillance systems are commonplace in busy, high-traffic areas. However, when investigators need to use these systems to search through recorded footage, these systems’ clunky interfaces ... -
Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer
(MIT News, 2020-02-11)Students participated in the Green AI Hackathon, co-sponsored by the MIT Research Computing Project and MIT-IBM Watson AI Lab, to explore methods for making artificial intelligence faster and more sustainable. -
Bug-Injecting System Helps to Advance the State-of-the-Art in Debugging Software
(MIT Lincoln Laboratory, 2021-03-05)Bug finding systems are used after developers have written code to try to identify mistakes they have made. If these systems find a bug, they can be fixed before code is deployed. Unfortunately, these systems fail to find ... -
Cadets Collaboratively Intern Through the Air Force-MIT Artificial Intelligence Accelerator
(MIT Lincoln Laboratory, 2021-05-14)The Department of the Air Force-MIT Artificial Intelligence Accelerator (DAF-MIT AIA) is a collaboration between the Air and Space Forces and MIT to create new technology that will help the Air Force better complete their ... -
Capitalizing on Machine Learning - from Life Sciences to Financial Services
(HPCwire, 2016-12-26)The promise of machine learning has a science fiction flavor to it: computer programs that learn from their experiences and get better and better at what they do. So is machine learning fact or fiction? The global marketplace ... -
Combining Neural Networks and Histogram Layers for Underwater Target Classification
(2023-12-18)To detect targets, sea vessels largely rely on passive sonar, which records sounds with an underwater microphone. However, techniques for processing and analyzing passive sonar data often struggle to disentangle the complex ... -
Creating Synthetic Radar Imagery Using Convolutional Neural Networks
(MIT Lincoln Laboratory, 2019-02-15)Weather radar can track the location and intensity of storms and is useful for managing transportation around hazardous weather. Air traffic controllers, for example, rely on weather radar to track storms that could impact ... -
Cybersecurity Phenomenology Exploration
(MIT Lincoln Laboratory, 2020-03-20) -
DataSToRM: Data Science and Technology Research Environment
(MIT Lincoln Laboratory, 2018-02-09)By analyzing graphs using specialized algorithms, complex relationships and deeper insight can be extracted from the raw information. In the last several years, the Laboratory has developed the Graph Processor, which has ... -
Developing Artificial Intelligence for Noncooperative Space Operations Using Kerbal Space Program
(2023-10-05)With nearly 9,000 active and inactive satellites in orbit, space has become more crowded and competitive than ever before. Solving nascent problems in this domain — such as avoiding collision with debris or servicing ... -
Dr. Jeremy Kepner Named Vice Chair of the Society for Industrial and Applied Mathematics (SIAM) Data MIning and Analytics Activity Group
(2021-08-02)Dr. Jeremy Kepner has been elected vice chair of the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Data Mining and Analytics (SIAG/DMA) for the 2014-2015 term. SIAM Activity Groups (SIAGs) provide ... -
Dr. Vijay Gadepally Receives AFCEA International’s 40 Under 40 Award
(2021-07-29)Dr. Vijay Gadepally was selected as a recipient of the Armed Forces Communications and Electronics Association (AFCEA) International’s 40 Under 40 Award for his work in the establishment and continued growth of the Lincoln ... -
Einblick Launches Deep AI Integration, Empowering Users to Go from Prompts to Multimodal Data Workflows
(Datanami, 2023-07-24)Einblick recently released Einblick Prompt, bringing the power of OpenAI and ChatGPT straight into their canvas-based data notebooks. Prompt is an AI agent that reasons and solves users’ natural language prompts, allowing ...