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New Electronics - BrainChip second-generation Akida platform now available - Vimarsana News

New Electronics - BrainChip second-generation Akida platform now available

BrainChip has announced the Early Access availability of its second-generation Akida IP solution for use in a wide range of applications across the Smart Home, Smart City, Industrial and Automotive markets.

BrainChip Makes Second-Generation Akida Platform Available to Advance State of Edge AI Solutions - Vimarsana News

BrainChip Makes Second-Generation Akida Platform Available to Advance State of Edge AI Solutions

LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic

AI Research Blog - The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture - Vimarsana News

AI Research Blog - The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture

A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions

Vision Transformers Change the AI Acceleration Rules - Vimarsana News

Vision Transformers Change the AI Acceleration Rules

Transformers were first introduced by the team at Google Brain in 2017 in their paper, “Attention is All You Need“. Since their introduction, transformers ...

New method improves efficiency of 'vision transformer' AI systems - Vimarsana News

New method improves efficiency of 'vision transformer' AI systems

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT's ability to identify, classify and segment objects in images.