NEW SOFTWARE LAYS THE FOUNDATION FOR DOMAIN-SPECIFIC SDK’S The ultimate goal is for AI engineers to develop, optimize, deploy and accelerate their models on a specific hardware. The developers also want multiple layers of access within a software stack that works with...
Available Research Papers including Quarterly Competitive Landscape Reports
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D-Matrix: Digital In-memory Compute For Data Center Inference On Transformer-based AI Models
Authors: Alberto Romero and Karl Freund, Cambrian-AI Research D-Matrix was founded in 2019 by two veterans in the field of AI hardware, Sid Sheth and Sudeep Bhoja, who previously worked together at Inphi (Marvell) and Broadcom. The company was born at a singular...
GrAI Matter Labs: At-Memory Brain-inspired Compute for AI at the Edge
Authors: Alberto Romero and Karl Freund, Cambrian-AI Research GrAI Matter Labs (GML) believes they’re revolutionizing deep learning at the endpoint device, focussing on audio and video processing with very low latencies. By processing data closest to its source, AI...
AI Firsts From Qualcomm AI Research
The Group has Pioneered New Technologies from On-Device Learning to Wireless AI and has Ambitious Plans for the Next Set of "Firsts" Whenever people take photos or speak to a digital assistant using a mobile phone, they often don’t realize that they just took...
Qualcomm Researchers Pioneer On-Device Learning
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...
Graphcore’s AI Software Stack is Now Customer-Driven
Graphcore has been nurturing a development community using the company’s commitment to open-source software.
A Closer Look At Graphcore ML Performance [A Cambrian AI Mini-Brief]
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...
THE IBM RESEARCH AI HARDWARE CENTER: Q4 2021 UPDATE
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...
Qualcomm Technologies Delivers Top Performance and Power Efficiency in AI Benchmarks
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 run a...
IBM Advances Research in Analog AI Computing
Karl and Gary take a deeper dive into IBM’s goals and plans for Analog AI in this short research paper. Download now and let us know what you think! …