#edge-ai

#edge-ai

Mistral AI has released a suite of open source models under the Mistral 3 banner, aiming to scale from a mobile device or drone up to multi-GPU datacenter beasts. While the French company does not share its training data, the decision to open source the models under the Apache 2.0 license is notable. "Open sourcing our models is about empowering the developer community and really putting AI in people's hands, allowing them to own their AI future," Mistral said.

Axis Communications is acquiring FF Group, a provider of license plate recognition technology. The acquisition is intended further to strengthen Axis's position in the traffic market. FF Group has been a partner of the Swedish company since 2017. Axis Communications CEO Ray Mauritsson explains the acquisition. "The market for traffic applications is growing. Acquiring FF Group will strengthen our competitiveness, knowledge, and capabilities in license plate verification," he says.

We are a Berlin company with international employees working on decentral collaborative AI services in real estate. We change how people live and work, by making buildings think and act adaptive to occupant needs. It is not another App. We save highest possible energy and run AI in compliance with GDPR. We look for developers who know AI on edge as well as power of Edge&Cloud.

Seamless integration of App Lab with the Edge Impulse platform also helps streamline and accelerate the process of building, fine-tuning, and optimizing AI models using real-world data for a wide range of capabilities such as object/human detection, anomaly detection, image classification, ambient sound recognition, and keyword spotting.

SIPBB is a hub for pioneering researchers, engineers and investors to meet with industrial partners in startup ecosystems to exchange ideas, test and validate new technologies,

With the introduction of its EmbeddingGemma, Google is providing a multilingual text embedding model designed to run directly on mobile phones, laptops, and other edge devices for mobile-first generative AI. Unveiled September 4, EmbeddingGemma features a 308 million parameter design that enables developers to build applications using techniques such as RAG ( retrieval-augmented generation) and semantic search that will run directly on the targeted hardware, Google explained.

The platform ingests data from multiple sensors, such as air, land, sea, and space-based imagery and signals, to detect battlefield threats like drones, enemy positions, or other targets. FPS does all of that in a no-code, hardware-agnostic environment that lets the average soldier in the field "build, retrain, and deploy custom machine learning models at the edge without coding," according to the company. Most critically, FPS is designed to operate without a connection to the internet or cloud services.

Artificial intelligence (AI) and software-defined vehicle (SDV) supplier Sonatus has launched a platform to help original equipment manufacturers (OEMs) use AI to transform driving and ownership experiences with greater efficiency and lower costs. The firm believes its Sonatus AI Director will be "game-changing", enabling OEMs to deploy AI at the vehicle edge to shrink roll-out cycles from months to days, while lowering costs and enabling smarter, safer driving.

Malaysia has developed its first domestic edge AI processor. Malaysian chip design company SkyeChip announced its MARS1000 processor at an industry event on Monday, Bloomberg reported. While an edge processor isn't as powerful as an advanced Nvidia chip, it still represents a technological milestone for Malaysia, which is looking to play a bigger role in the global AI race. Malaysia already has a foothold in the chip manufacturing sector and has recently increased its efforts and investment around AI.