tag: MIT CSAIL

Chip Industry Week In Review
By The SE Staff - 05 Jan, 2024 - Comments: 0

By Susan Rambo, Jesse Allen, and Liz Allan The U.S. government will provide about $162 million in federal incentives, under the CHIPS and Science Act, to help Microchip onshore its semiconductor supply chain. The move is aimed at securing a reliable domestic supply of MCUs and mature-node chips. “Today’s announcement will help propel semiconductor manufacturing projects in Colorado and O... » read more

Chip Industry Week In Review
By The SE Staff - 01 Dec, 2023 - Comments: 0

By Susan Rambo, Gregory Haley, and Liz Allan Amkor plans to invest about $2 billion in a new advanced packaging and test facility in Peoria, Arizona. When finished, it will employ about 2,000 people and will be the largest outsourced advanced packaging facility in the U.S. The first phase of the construction is expected to be completed and operational within two to three years. Synopsys p... » read more

Chip Industry’s Technical Paper Roundup: November 6
By Liz Allan - 06 Nov, 2023 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=162 /] More Reading Technical Paper Library home » read more

A New Architecture And Verification Approach For Hardware Security Modules
By Technical Paper Link - 31 Oct, 2023 - Comments: 0

A technical paper titled “The K2 Architecture for Trustworthy Hardware Security Modules” was published by researchers at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and New York University. Abstract: "K2 is a new architecture and verification approach for hardware security modules (HSMs). The K2 architecture's rigid separation between I/O, storage, and computation ... » read more

Optimizing Hardware Capacity, Utilizing Automatic Differentiation to Efficiently Compute Derivatives in Parallel Programming Models
By Technical Paper Link - 30 Nov, 2022 - Comments: 0

A technical paper titled "Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation" was published by researchers at MIT (CSAIL), Argonne National Lab, and TU Munich. The paper was a Best Paper Finalist and a Best Student Paper winner at SuperComputing 2022. Find the technical paper here. Published November 2022. The work "demonstrates how Enzyme opti... » read more

Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps (MIT)
By Technical Paper Link - 15 May, 2018 - Comments: 0

Source: MIT CSAIL: Teddy Ort, Liam Paul, Daniela Rus According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, of... » read more

Making high-capacity data caches more efficient
By Technical Paper Link - 24 Oct, 2017 - Comments: 4

Source: Researchers from MIT, Intel, and ETH Zurich Xiangyao Yu (MIT), Christopher J. Hughes (Intel), Nadathur Satish (Intel) Onur Mutlu (ETH Zurich), Srinivas Devadas (MIT) Technical Paper link MIT News article As the transistor counts in processors have gone up, the relatively slow connection between the processor and main memory has become the chief impediment to improving comp... » read more

How Neural Networks Think (MIT)
By Technical Paper Link - 18 Oct, 2017 - Comments: 0

Source: MIT’s Computer Science and Artificial Intelligence Laboratory, David Alvarez-Melis and Tommi S. Jaakkola Technical paper link MIT article General-purpose neural net training Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data, reminded MIT research... » read more

New AI algorithm monitors sleep with radio waves (MIT & Mass General)
By Technical Paper Link - 22 Aug, 2017 - Comments: 0

Source: MIT and Massachusetts General Hospital. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi Monitoring sleep with AI To make it easier to diagnose and study sleep problems, researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep stages without sensors attached to the body by using a device that employs an advanced artific... » read more

Neural Adaptive Video Streaming with Pensieve (MIT-CSAIL)
By Technical Paper Link - 22 Aug, 2017 - Comments: 0

Source:  MIT-CSAIL Hongzi Mao, Ravi Netravali, Mohammad Alizadeh For technical paper link, click here  and MIT's news here Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that ... » read more

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