Dyson has shown off a series of prototype robots it's developing, and announced plans to hire hundreds of engineers over the next five years in order to build robots capable of household chores. The images are designed to show off the fine motor skills of the machines, with arms capable of lifting plates out of a drying rack, vacuuming a sofa, or lifting up a children's toy. The company, best known for its range of vacuum cleaners, says that it aims to develop "an autonomous device capable of household chores and other tasks," with The Guardian noting that such a device could be released by 2030. It comes over half a decade after the company released its first robotic device, the Dyson 360 Eye robot vacuum cleaner, in 2014. Dyson has long emphasized its interest in AI and robotics to underpin its future products.

… and Research and the Accelerated Analytics and Machine Learning project. … genetic analysis, artificial intelligence, machine learning, …

The global Automotive Cybersecurity Market size is projected to grow from USD 2.0 billion in 2021 to USD 5.3 billion by 2026, at a CAGR of 21.3%. Increasing incidents of cyber-attacks on vehicles and massive vehicles recalls by OEMs have increased awareness about automotive cybersecurity among OEMs globally. Moreover, increasing government mandates on incorporating several safety features, such as rear-view camera, automatic emergency braking, lane departure warning system, and electronic stability control, have further opened new opportunities for automotive cybersecurity service providers globally. As a result, there are various start-ups present in the automotive cybersecurity ecosystem. Government initiatives toward building an intelligent transport system have also further escalated the demand for cybersecurity solutions all over the world.

Litmus, the Edge Data Platform for Industry 4.0, today announced CHIMEI, a leading Taiwan-based performance materials manufacturer, has deployed Litmus Edge to power artificial intelligence at the edge. CHIMEI will deploy Litmus Edge to many of their plants to expand factory data collection and run AI models at the edge to improve quality in production processes. Previously CHIMEI was collecting data and running AI models for each of their production processes separately using different edge devices, which was not efficient and maintenance costs were high. Complex integration with multiple AI model servers prompted them to look for a new solution that would allow them to collect data from more machines and provide AI model runtime functionality. CHIMEI chose Litmus Edge to consolidate production processes and run most AI models from the same edge device.

BOSTON--(BUSINESS WIRE)--Gradient AI, a leading enterprise software provider of artificial intelligence (AI) solutions for the insurance industry, announced that the company has joined Guidewire's Insurtech Vanguards program, a new initiative led by property and casualty (P&C) cloud platform provider Guidewire (NYSE: GWRE), to help insurers learn about the newest insurtechs and how to best leverage them. "Guidewire is one of the most recognized platform providers in the insurance industry today and we are proud to be working with the company," said Stan Smith, founder and CEO, Gradient AI. "As a part of the Guidewire Insurtech Vanguards program we look forward to helping insurers improve underwriting and claim processes with our AI-power insurance solutions." Insurtech Vanguards is a community of select startups and technology providers that are bringing novel solutions to the P&C industry. As part of the program, Guidewire provides strategic guidance to and advocates for the participating insurtechs, while connecting them with Guidewire's P&C customers. "Gradient AI is an effective, innovative, and proven insurance solution providing insurers the intelligence needed to significantly improve their efficiency and profitability in claims and underwriting operations," said Laura Drabik, chief evangelist, Guidewire.

Carrot ("Carrot" or the "Company") and Luxrobo announced today the establishment of a Joint Venture (JV) that brings together two premier tech companies from the field of digital insurance and IoT-technology. Together they operate as Lucky Box Solutions Inc. to deliver the most optimized IoT systems and telematics devices while positioning itself as the leader of InsurTech, industry that has become the noise of the town in recent years. Both companies have established proven track records of providing innovation in emerging sectors and are poised to offer cutting-edge solutions in the areas of Artificial Intelligence, Machine Learning, Data Interoperability, Analytics and Processing, and Internet of Things while providing risk prevention and insurance protection services. Carrot has made a name for itself over the past few years by providing modernized insurance service to the consumers of South Korea with its customer-centered design of Pay-Per-Mile auto insurance product. As seen with its top-tier customer retention, customers are highly praising for its fair and transparent pricing, month-end payment term, IoT-driven emergency and other value-added services, and cash incentive program that rewards customers based on their safe-driving scores.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.

A group of Democratic lawmakers led by Senator Ron Wyden of Oregon is calling on the Federal Trade Commission to investigate ID.me, the controversial identification company best known for its work with the Internal Revenue Service. In a letter addressed to FTC Chair Lina Khan, the group suggests the firm misled the American public about the capabilities of its facial recognition technology. Specifically, lawmakers point to a statement ID.me made at the start of the year. After CEO Blake Hall said the company did not use one-to-many facial recognition, an approach that involves matching images against those in a database, ID.me backtracked on those claims. It clarified it uses a "specific" one-to-many check during user enrollment to prevent identity theft.

Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pichai said that Google's datacenters would "soon have dozens of TPU v4 Pods, many of which will be operating at or near 90 percent carbon-free energy." Now, at Google I/O 2022, Pichai revealed the blue-ribbon fruit of those labors: a TPU v4-powered datacenter in Mayes County, Oklahoma, that Google says is the world's largest publicly available machine learning hub. "This machine learning hub has eight Cloud TPU v4 Pods, custom-built on the same networking infrastructure that powers Google's largest neural models," Pichai said. Google's TPU v4 Pods consist of 4,096 TPU v4 chips, each of which delivers 275 teraflops of ML-targeted bfloat16 ("brain floating point") performance.

Deep North, the intelligent video analytics company, announced the launch of Checkout IQ, its new retail loss prevention solution, which uses computer vision and AI to reduce shrinkage at checkout. The release reflects Deep North's ongoing commitment to empower retailers with data-driven tools to keep their businesses competitive, maximize revenue, and offer great customer experiences. With shrinkage at an all-time high and an increase in organized retail crime, Deep North is providing a new way for retailers to prevent fraud loss and improve their bottom line. Raises $10.5 Million Series A to Help CX Teams Turn Conversations Into Insights and Automation Designed to help retailers reduce retail fraud activities, Checkout IQ works with retailers' existing camera systems. By analyzing camera views, the application identifies items that are being scanned by the customer or the cashier, and this count is cross-referenced with the POS item count to detect any discrepancies.