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...

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,...

Edjx partners with Zeblok to boost AI app deployment at the edge

AI deployment

Decentralised edge computing provider Edjx has partnered with Zeblok Computational, an AI platform-as-a-service (PaaS) provider.

Zeblok’s AI-MicroCloud will integrate with the Edjx platform to meet the growing demand for simplified and rapid edge deployment solutions.

Edjx and Zeblok clients will benefit from this integration by having easier access to AI models for deployment across thousands of edge locations.

The AI-MicroCloud offered by Zeblok supports...

Invisible AI bags $15m to grow computer vision tech for Industry 4.0

Invisible AI

Computer vision software developer Invisible AI has raised $15 million (£13.5m) in a Series A round of funding.

New investment, led by Van Tuyl Companies (VTC), brings the company’s total amount raised to $21 million (£19m). Other investors included 8VC, K9 Ventures, FM Capital, and Sierra Ventures.

Invisible AI powers its computer vision technology through an edge AI software platform that requires no coding knowledge. This allows developers to easily build AI...

Autonomous AI cybersecurity: defending as humans can’t

Cybersecurity and risk management hasn't kept up with cyber attack growth or digital concerns, demanding a new approach that involves threat intelligence software and AI-powered automation. AI-driven automation systems can identify dangers by user, device, or location with greater speed, scalability, and accuracy than what humans can handle.

Overwhelming volume and speed of cyber attacks

The frequency and number of security incidents demand a new operational strategy. This...

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...

MemryX begins customer sampling of new MX3 AI Accelerator

AI chip

Semiconductor developer MemryX, which designs AI processing solutions for edge devices, has begun customer sampling of its MX3 AI Accelerator.

The MX3 was created with ease-of-use and efficiency in mind. Able to achieve optimised model performance within minutes, MemryX hopes its accelerator will save companies months of software development time.

Built for edge computing systems old and new, the MX3 can accelerate AI processing in most systems and connects directly to...

Edge Impulse adds support for BrainChip neuromorphic AI

BrainChip Akida AKD1000 Processor

Edge Impulse, a platform that enables machine learning at the edge, and neuromorphic AI provider BrainChip have teamed up to allow Edge Impulse projects on the BrainChip MetaTF platform.

Through their cooperation, developers can now use the BrainChip Akida platform to create and train machine learning models that are optimised for and compatible with the spiking neural network (SNN).

For new and existing projects, engineers must use the BrainChip MetaTF model deployment...