by Tamar Eilam on May 22, 2024 | Tags: Sustainability, Sustainable Computing
In an era where artificial intelligence (AI) is rapidly advancing and the demise of Dennard scaling is becoming increasingly apparent, the importance of Sustainable Computing has never been more critical. Global datacenter electricity consumption reached 460 TWh in...
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by Shvetank Prakash, Emil Njor, Colby Banbury, Matthew Stewart, Vijay Janapa Reddi on May 6, 2024 | Tags: deep learning, Machine Learning, TinyML
At the dawn of the 21st century, Mark Weiser envisioned a world where computers would weave themselves into the fabric of everyday life, becoming indistinguishable from it. This prophecy of ubiquitous computing has not only materialized but has evolved beyond...
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by Emery Berger and Ben Zorn on Apr 23, 2024 | Tags: Computer Systems, deep neural networks, Machine Learning, Programming
A Tale of Two Softwares: In a world where AI is revolutionizing the way we interact with technology, a new type of software emerges: AI Software (AISW). But with great power comes great responsibility, and the systems research community must rise to the challenge of ensuring AISW is as robust, secure, and safe as its predecessor, Plain Old Software (POSW).
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by Kelly Shaw and Natalie Enright-Jerger on Apr 19, 2024 | Tags: Diversity, Inclusion, Women in Computing
On behalf of the Women in Computer Architecture (WICARCH) organizing committee, we’re pleased to announce two new initiatives geared to foster in-person gatherings of members. One of the primary goals of WICARCH is to create a sense of community among women computer...
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by Raghav Pothukuchi and Abhishek Bhattacharjee on Jan 22, 2024 | Tags: BCI, Brain-computer interfaces
Brain-computer interfaces (BCIs) connect the brain with computers and machines, forging a link between natural intelligence and artificial intelligence (AI). In doing so, they enable the use of computational platforms to treat debilitating neurological diseases like...
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by Mingyu Gao on Dec 27, 2023 | Picture generated by Microsoft Designer powered by DALL·E 3 Computations on sparse matrices/tensors in scientific computing, graph processing, and deep learning are one of the earliest and most studied algorithms for hardware acceleration. Such sparse...
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