New program fuels innovation in next-generation artificial intelligence

The MIT AI Hardware Program is a new academic and industry collaboration to define and develop translational technologies in hardware and software for the AI ​​and quantum age. A partnership between the MIT School of Engineering and the MIT Schwarzman College of Computing, which incorporates Microsystems Technologies laboratories and programs and units in the college, the cross-disciplinary effort aims to innovate technologies that lead to cloud and edge computing. Will enhance the energy efficiency system.

Caption: MIT has announced the launch of the MIT AI Hardware Program, which includes five inaugural companies to advance transformational AI technologies for the next decade.

“A sharp focus on AI hardware manufacturing, research and design is critical to meeting the demands of the world’s evolving devices, architectures and systems,” says Anantha Chandrakasan, dean of the MIT School of Engineering and the Vannevar Bush Professor of Electrical Engineering. computer science. “Knowledge sharing between industry and academia is essential to the future of high-performance computing.”

Based on usage-driven research involving materials, devices, circuits, algorithms and software, the MIT AI Hardware Program convenes researchers from MIT and industry to facilitate the transition of fundamental knowledge to real-world technical solutions. The program spans materials and devices and architecture and algorithms enabling energy-efficient and sustainable high-performance computing.

Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing and the Henry Ellis Warren Professor of Electrical Engineering and Computer Science, says, “As AI systems become more sophisticated, they are intended to enable more advanced applications and deliver greater performance.” New solutions are needed.” “Our goal is to create real-world technical solutions and lead the development of technologies for AI in hardware and software.”

The program’s inaugural members are companies from a wide range of industries, including chip making, semiconductor manufacturing equipment, AI and computing services, and information systems R&D organizations. The companies represent a diverse ecosystem nationally and internationally, and will work with MIT faculty and students to help shape a vibrant future for our planet through cutting-edge AI hardware research.

The five inaugural members of the MIT AI Hardware Program are:

  • Amazon, a global technology company whose hardware inventions include the Kindle, Amazon Echo, Fire TV and Astro;
  • Analog Devices, a global leader in the design and manufacture of analog, mixed-signal and DSP integrated circuits;
  • ASML, an innovation leader in the semiconductor industry, provides hardware, software and services to mass-produce patterns on silicon through lithography;
  • NTT Research, a subsidiary of NTT, conducts fundamental research to elevate reality in game-changing ways that improve lives and brighten our global future; And
  • TSMC is the world’s leading dedicated semiconductor foundry.

The MIT AI Hardware Program will create a roadmap for transformative AI hardware technologies. Leveraging MIT.nano, the most advanced university nanofabrication facility anywhere, the program will foster a unique environment for AI hardware research.

“We are all in awe at the seemingly superhuman capabilities of today’s AI systems. But it comes at a rapidly increasing and constant energy cost,” says Jess del Alamo, a donor professor in MIT’s Department of Electrical Engineering and Computer Science. Continued advances in AI will require new and much more energy-efficient systems. This, in turn, will demand innovations across the entire abstraction stack, from materials and devices to systems and software. The program is in a unique position to contribute to this discovery.”

The program will give priority to the following topics:

  • analog neural network;
  • new roadmap CMOS design;
  • heterogeneous integration for AI systems;
  • Onolithic-3D AI System;
  • analog non-volatile memory devices;
  • software-hardware co-design;
  • Wisdom on the edge;
  • intelligent sensor;
  • energy efficient AI;
  • Intelligent Internet of Things (IIoT);
  • neuromorphic computing;
  • AI Edge Security;
  • how much ai
  • wireless technology;
  • hybrid-cloud computing; And
  • High performance calculations.

“We live in an era where paradigm-shifting pursuits in hardware, systems communications and computing have become imperative to finding sustainable solutions – solutions that we are proud to offer to the world and generations to come,” said Aude Oliva, a says senior research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of strategic industry engagement at the MIT Schwarzman College of Computing.

written by engineering school

Source: Massachusetts Institute of Technology


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