2024 BrainChip Discussion, page-4100

Probs posted but first I've seen of it.

Nice simple positive summary.

7 Semiconductor Startups Revolutionizing EdgeAI - techovedas

Discover the cutting-edge landscape of EdgeAI with these 7 dynamic semiconductor startups.

techovedas.com

7 Semiconductor Startups Revolutionizing EdgeAI

• EDITORIAL TEAM
• MARCH 22, 2024
• SEMICONDUCTOR ECOSYSTEM

Introduction

This opens up a whole new market for affordable chips that can do artificial intelligence and machine learning tasks, costing less than $10 each. This is a big change from the expensive chips like TPUs/GPUs/DLAs (deep learning accelerator) currently required for implementing Cloud AI, costing tens of thousands of dollars each. We have compiled a list of 7 semiconductor startups that are making their mark with their AI Chipsets.

“Edge AI gives wings (of inference) to thin clients, as it puts 32-bit MCUs on steroids”

2. BrainChip

Although the company is still in the early stages of deployment in a few niche markets. But we believe this company has the potency to go big. BrainChip is involved in edge AI on-chip processing and learning.

The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision and economy of energy. Moreover, keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security.
“Akida’s performance per microwatt can be orders of magnitude better than the current solutions on the market.”
In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers’ products as well as the planet.