![Rethinking Neural Network Dataflow in Larger Scales](https://www.sigarch.org/wp-content/uploads/2020/04/AdobeStock_321373675-300x175.jpeg)
Archive of posts tagged: Machine Learning
![Rethinking Neural Network Dataflow in Larger Scales](https://www.sigarch.org/wp-content/uploads/2020/04/AdobeStock_321373675-300x175.jpeg)
![Deep Learning: It’s Not All About Recognizing Cats and Dogs](https://www.sigarch.org/wp-content/uploads/2019/11/AdobeStock_267679782-300x175.jpg)
Deep Learning: It’s Not All About Recognizing Cats and Dogs
We live in the era of machine learning. As Geoff Hinton and Yann LeCun emphasized in their recent Turing lecture, the rise of machine learning (ML) was in great part facilitated by cheap and easy to use high-performance computing that has allowed ML models to be...![The First Trillion-Transistor Chip: A New Design Space](https://www.sigarch.org/wp-content/uploads/2019/08/Screen-Shot-2019-08-24-at-2.14.49-PM-300x175.png)
The First Trillion-Transistor Chip: A New Design Space
There was stunning news at the HotChips-31 conference held at Stanford Memorial Auditorium last week. Cerebras, a startup company working on machine learning accelerators in stealth mode, finally came out and presented a groundbreaking accelerator chip packed with 1.2...![Deep Neural Network Acceleration Beyond Chips](https://www.sigarch.org/wp-content/uploads/2019/08/CS_WAFER_BLACK_SMALL-768x819-300x175.png)
Deep Neural Network Acceleration Beyond Chips
This week Cerebras announced a bold design to accelerate deep neural networks with silicon that is not cut into chips. AI and Moore’s Law: Artificial Intelligence (AI) is much in the news for what it can do today and the promise of what it can do tomorrow (CCC/AAAI...![Sure, We Have Systems For ML But How About ML For Systems?](https://www.sigarch.org/wp-content/uploads/2019/06/AdobeStock_92015208-300x175.jpeg)