by Karl Freund | Mar 14, 2022
Training on Mobile and Edge Devices Could Improve the User Experience While Preserving Privacy We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess artificial stupidity instead of artificial intelligence. The...
by Karl Freund | Jan 20, 2022
Graphcore has been nurturing a development community with some very big names, using the company’s commitment to open-source software and a vast array of software, tools, webinars, examples, etc. This research updates our Graphcore Software paper from May 2000. You...
by Karl Freund | Dec 21, 2021
Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December. Performance improved significantly with the latest software, model optimizations, and scalability, helped by the Open Source community they have nurtured for the last...
by Karl Freund | Dec 2, 2021
Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s for weeks. But IBM believes they can address this impasse with deep research. The IBM Research AI Hardware Center was founded with...
by Karl Freund | Oct 5, 2021
Company’s Mobile Heritage Means Every Milliwatt Counts Qualcomm, perhaps best known for its leadership Snapdragon mobile platform, has further enhanced its AI bona fides with V1.1 MLPerf inference benchmark suite released in September. Not only did the company...
