In this article series we explore the intersection of artificial intelligence and its impact on energy consumption. We also examine how AI can actually improve and reduce energy consumption in the form of frugal AI and architecture approaches with a view to the industry.
MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.
Read MoreA USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
Read MoreThe professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.
Read MoreA new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Read MoreDuring the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
Read MoreResearchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.
Read MoreMIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not necessarily productivity.
Read MoreAssistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.
Read MoreFounded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.
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