Quadric and Ams Osram build smart sensor solutions for the edge

Vision

Edge AI chip developer Quadric has partnered with optical solutions company Ams Osram to work on a smart sensing solution for edge applications.

Combining Quadric’s Chimera neural processors with Ams Osram’s CMOS sensors, the two companies have developed a smart sensing module with machine learning and image capture capabilities.

The Ams Osram Mira220 CMOS image sensor is built for either 2D or 3D industrial and consumer machine vision use...

Edge Impulse partners with BrainChip for edge AI development

Speed

Machine learning platform Edge Impulse is working with BrainChip again, the edge AI innovator known for its neuromorphic processors.

By combining their offering, users will be able to leverage Edge Impulse’s machine learning platform alongside BrainChip’s powerful Akida chip for edge application deployment. The partnership makes BrainChip the first strategic IP partner for the Edge Impulse platform.

Edge Impulse has added support for the Akida AKD1000 system,...

Encharge AI raises £18m to build advanced AI tech for edge uses

AI computing provider EnCharge AI has raked in £18 million ($21.7m) in a Series A funding round to develop its advanced AI hardware and software for edge computing.

The round, EnCharge’s first form of public funding, was led by Anzu Partners with participation from AlleyCorp, Alumni Ventures, Scout Ventures, and more.

Incubated at Princeton University, EnCharge’s in-memory compute technology is the result of six years of research and development driven by Department...

Synaptics launches AI vision and audio module, KatanaConnect

Vision

Edge developer Synaptics has launched its KatanaConnect module, a wireless AI vision and audio device.

Synaptics specialise in human interface hardware and software, with KatanaConnect using AI computer vision and audio sensing to support applications ranging from security to automation and monitoring.

Ananda Roy, senior product manager of low-power edge AI at Synaptics, said: “KatanaConnect enables the fastest, most future-proof path to feature-rich, connected AI...

Run:ai launches optimised AI solution with NVIDIA support

NVIDIA DGX

Israeli AI solutions firm Run:ai has launched an MLOps Compute Platform (MCP) powered by NVIDIA’s DGX systems.

The platform is a full-stack AI tool for enterprises that will help them avoid some of the issues associated with AI model deployment.

Run:ai described the MCP as an end-to-end infrastructure for simplifying the hardware and software complexities of AI development and deployment into a single solution.

The company has a history of collaboration with...

Lumen Technologies brings edge solutions to APAC region

Singapore

Network solutions provider Lumen Technologies is expanding its portfolio of edge computing solutions into the Asia-Pacific region (APAC).

Lumen’s offering in the region will include its Edge Bare Metal pay-as-you-go hardware solution for servers, taking advantage of sites in Singapore and Japan.

The company claims to facilitate application performance with a maximum of five milliseconds of latency through its edge node fibre network. Its launch in the region will help...

IBM builds new AI chip for training deep learning models

IBM has created an upgraded version of its 2021 AI Telum processor to accelerate the development of industrial-scale deep learning models.

Called the Artificial Intelligence Unit (AIU), it is an application-specific integrated circuit that can run any deep learning task, from rapidly processing images to translating spoken languages.

Taking five years to research and develop, the AIU is computational processing hardware that is designed to handle AI calculations...

Kneron bags £42m funding for next-gen AI hardware solutions

Full-stack edge AI developer Kneron has secured £42.5 million in a Series B funding round led by Horizon Ventures.

New investors joining the round included LITEON, an electronics and power solutions firm, as well as ADATA, a memory compute provider. The new round brings Kneron’s total funding to slightly more than £124 million.

The company plans to use the funds to accelerate its research and development to produce next-gen AI inference modules.

Albert Liu,...

Sidus Space wins Exo-Space contract to deploy edge tech in space

ISS Space

Satellite service provider Sidus Space has been awarded a contract to deploy edge technology for Exo-Space, a satellite hardware developer.

Through the agreement, Sidus Space will integrate Exo-Space’s AI software technology on Earth Observation satellites. Sidus Space plans to integrate Exo-Space’s payload into LizzieSat, its hybrid 3D-printed satellite, in 2023.

The collaboration will allow for ultra-low latency space analytics that provide insights into Earth...

Stanford engineers build more efficient AI chip for edge devices

Stanford University engineers have created a more efficient and flexible AI chip well suited to power AI in tiny edge devices.

The engineers’ chip, called NeuRRAM, is a novel resistive random-access memory (RRAM) chip that innovates on the way current chips process and store data.

AI functionality on tiny edge devices today is limited by the energy a battery can provide. Whilst modern AI chips process and store data in separate locations – a compute unit and a memory...