Kneron’s auto-grade KL730 NPU chip revolutionises edge AI

Qualcomm-backed Kneron has unveiled its latest breakthrough neural processing unit (NPU) chip, which promises to be a game-changer for edge AI.

The KL730 auto-grade NPU chip packs an integrated Image Signal Processor (ISP) and promises to bring secure and energy-efficient AI capabilities to an extensive range of applications, spanning from enterprise-edge servers to smart home appliances and advanced driving assistance systems.

The KL730 sets itself apart as a...

Google picks ASUS IoT to help scale its Coral edge AI platform

Google has picked ASUS IoT to help scale the manufacturing, distribution, and support of its Coral edge AI platform.

Coral was launched in 2019 with the goal of making edge AI more accessible. Google says that it’s witnessed strong demand since its launch – across industries and geographies – and needs a reliable partner able to help it scale.

ASUS IoT is a sub-brand of the wider ASUS brand that has decades of experience in global electronics...

MicroAI showcasing host of AI security products at CES Las Vegas

Conference Audience

MicroAI, a Texas-based edge AI product developer, is demonstrating its Launchpad quick-start deployment tool along with its new security software at this year’s CES exhibition.

The world’s largest tech exhibition, CES is taking place at the Las Vegas Convention Centre (LVCC) from 5-7 January this year.

MicroAI has partnered with communications solutions provider iBASIS to showcase Launchpad’s management capabilities at booth 12318.

Using connectivity...

Editorial: Our predictions for the AI industry in 2022

The AI industry continued to thrive this year as companies sought ways to support business continuity through rapidly-changing situations. For those already invested, many are now doubling-down after reaping the benefits.

As we wrap up the year, it’s time to look ahead at what to expect from the AI industry in 2022.

Tackling bias

Our ‘Ethics & Society’ category got more use than most others this year, and with good reason. AI cannot thrive when it’s...

FTC steps in to block Nvidia’s $40B acquisition of Arm

America’s Federal Trade Commission (FTC) has become the first regulator to sue to block Nvidia’s acquisition of British chip designer Arm.

Arm plays a critical role in the global technology supply chain with its designs used for edge AI chips and processors for smartphones, tablets, desktops, and servers.

It’s of little surprise that Nvidia wants to bring Arm under its wing and is willing to pay $40 billion (£29 billion) for it.

Global regulators,...

Paravision boosts its computer vision and facial recognition capabilities

US-based Paravision has announced updates to boost its computer vision and facial recognition capabilities across mobile, on-premise, edge, and cloud deployments.

“From cloud to edge, Paravision’s goal is to help our partners develop and deploy transformative solutions around face recognition and computer vision,” said Joey Pritikin, Chief Product Officer at Paravision.

“With these sweeping updates to our product family, and with what has become possible in terms...

AI, Captain: IBM’s edge AI-powered ship Mayflower sets sail

IBM’s fully-autonomous edge AI-powered ship Mayflower has set off on its crewless voyage from Plymouth, UK to Plymouth, USA.

The ship is named after the Mayflower vessel which transported pilgrim settlers from Plymouth, England to Plymouth, Massachusetts in 1620. On its 400th anniversary, it was decided that a Mayflower for the 21st century should be built.

Mayflower 2.0 is a truly modern vessel packed with the latest technological advancements. Onboard edge AI...

Apple buys edge AI experts Xnor.ai for a reported $200 million

apple xnor ai artificial intelligence edge

Apple has acquired Seattle-based edge AI experts Xnor.ai for a reported $200 million.

If you recognise Xnor.ai, it’s likely because the company’s technology once powered the person-detection feature on Wyze’s popular cameras. Xnor.ai abruptly cancelled their contract with Wyze back in November – and now we know why.

In layman’s terms, edge computing means the processing is done on-device. On-device computation has significant advantages when it comes to...