Cambrian AI Research Papers
We provide the latest research on AI markets and technologies. Older research papers are published by Moor Insights & Strategy, while newer ones will be published here on this site.
Cambrian-AI Founder Karl Freund’s Annual Keynote to the 2022 AI Hardware Summit
Karl Freund presents his market perspective to the International Semiconductor Executive Summit 06.24.21.
Qualcomm Continues to Dominate Power Efficiency with MLPerf 2.1 Inference
Company’s recent design wins with leading server vendors indicates potentially high customer demand, especially in edge image processing. Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the...
SiMa.ai: Ignite the Edge ML Market with New Software-Driven “MLSoC”
SiMa.ai hopes to transform the edge AI market with an “MLSoC” solution with image processing, video, and a custom AI Accelerator. Now shipping…. Let’s take a closer look. You can download this exclusive Cambrian AI mini-brief by clicking below.[purchase_link...
Qualcomm AI Research Explores 3D Perception Using Advanced ML
THE TRICK OF AI AT THE EDGE IS REDUCING COMPLEXITY WHILE MAINTAINING OR EVEN IMPROVING INFERENCE ACCURACY. AND THAT TAKES A LOT OF PRIMARY RESEARCH. One of the thorniest problems mobile and edge platforms wrestle with is achieving 3D perception on 2D images or 3D...
SiFive: Driving Innovation in RISC-V Vector Processing
The Company Appears to be Well Positioned to Challenge CPU Incumbents with High Performance RISC-V CPUs and Vector Extensions to the Open ISA Architecture. RISC-V is taking the processor world by storm, and SiFive is driving innovation for the community for RISC-V...
Mythic: How an Analog Processor Could Revolutionize Edge AI
Mythic is an analog AI processor company conceived to overcome the growing limitations of digital processors. Founded by Mike Henry and Dave Fick, and based in Texas, Austin, and Redwood City, California, Mythic aims to solve the technical and physical bottlenecks...
NeMo Megatron Reinforces NVIDIA AI Leadership in Large Language Models
Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established the now generally accepted scaling laws of transformers with GPT-3 in 2020, AI companies have been exerting extreme effort to stay at the vanguard by scaling...
Qualcomm Launches New AI Stack
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...
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...
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