As promised, Walmart has started doing fully driverless box truck deliveries in partnership with startup Gatik between its own locations on a fixed 7-mile loop, the companies announced. Despite those limitations, the route in Bentonville, Arkansas involves "intersections, traffic lights and merging on dense urban roads," the companies said. It's another shot of good news for the progress of self-driving vehicles after GM's cruise launched its self-driving taxis into testing last week. The Gatik trucks are bringing grocery orders from a Walmart fulfilment center (dark store) to a nearby Walmart Neighborhood Market grocery store in Bentonville, the host city of the company's headquarters. The route covers the "middle mile" transportation of goods between warehouses and stores. The program effectively got launched following the December 2020 approval by the Arkansas State Highway Commission, and has been driverless since this summer.

Nurosene acquired all of the issued and outstanding securities of NetraMark for a purchase price of CAD$15,000,000 payable as follows to shareholders of NetraMark: (i) 6,148,325 common shares of the Nurosene at a price of approximately $2.09 ("Purchase Shares") representing an amount of CAD$12,850,000 and (ii) CAD$2,150,000 in cash subject to a $200,000 holdback.

There's a massive announcement set to take place later this year, and it could change the $12 trillion healthcare industry forever. Over the last 2 years, we've seen a huge transformation as businesses across nearly every industry have gone digital. And with the health crisis sweeping the globe last year, the healthcare sector was no different. Mentioned in today's commentary includes: Brookfield Renewable Partners L.P. (NYSE: BEP), LifeStance Health Group, Inc. (NASDAQ: LFST), Teladoc Health, Inc. (NYSE: TDOC), Mind Medicine (MindMed) Inc. (NASDAQ: MNMD), American Well Corporation (NYSE: AMWL). That's why we're now on the verge of a healthcare revolution, set to leverage the latest technology to disrupt a bloated and complicated system.

On October 28, 2021, the U.S. Equal Employment Opportunity Commission (EEOC) announced the launching of an initiative to ensure that Artificial Intelligence (AI) and other emerging tools used in hiring and other employment decisions comply with federal civil rights laws that the agency enforces, according to an EEOC press release. "Artificial intelligence and algorithmic decision-making tools have great potential to improve our lives, including in the area of employment. At the same time, the EEOC is keenly aware that these tools may mask and perpetuate bias or create new discriminatory barriers to jobs," EEOC Chair Charlotte A. Burrows stated in the press release. The initiative will examine how technology is fundamentally changing the way employment decisions are made and aims to guide applicants, employees, employers, and technology vendors in ensuring these technologies are used with federal equal employment opportunity (EEO) laws. "Bias in employment arising from the use of algorithms and AI falls squarely within the Commission's priority to address systemic discrimination. The EEOC will address workplace bias that violates federal civil rights laws regardless of the form it takes," said Burrows, who was appointed by President Joe Biden in January 2021.

Labs Inc. raised $30 million in new venture capital. Many plans are in play to spend the cash infusion, including hiring, and accelerated growth plans for the company's machine learning-focused insurance claims monitoring platform. "By leveraging machine learning to automate and remove bias from the process, we are blazing the trail to a future where nobody pays for fraud," Sean Merat, co-founder and CEO of owl.co, said in prepared remarks. The technology involves a secure, evidence-based insurance claims monitoring platform that owl.co claims has greater due diligence at scale, while removing human bias from the detection process. With machine learning, owl.co automates the claims monitoring process.

Porsche uses artificial intelligence (AI) in vehicle development to make drive systems even more efficient and sustainable and to further optimize development processes. AI gives computers the ability to analyze problems and solve them automatically--much like a human being. This potential is being exploited in powertrain development, both in the field of e-mobility and in the internal combustion engine as a traditional domain of mechanical engineering. In the development of traditional combustion engines, for example, AI solves the problem of predicting the gas content in the engine oil. Since high gas content leads to oil foaming and thus to reduced lubricity, the oil system must be designed for the lowest possible gas content.

Pelican AI (pelican.ai), a global provider of Artificial Intelligence-powered payments and financial crime compliance solutions for banks and corporates, announced today that the Treasury Services business of leading global bank BNY Mellon is implementing its AI-based Pelican Secure Sanctions Self-Learning Optimization (SSLO) solution in the coming months to drive efficiency in their global sancti...

Visions for the lab of the future have evolved over the past few decades, and while individual instruments and processes have benefited from digital tools like automation and analytics, lab research has changed far less than many would have predicted. However, with an increasingly broad and powerful digital toolkit that includes tools like artificial intelligence (AI), robotics, and Internet of Things (IoT) sensors, the lab of the future -- one that is significantly more automated, efficient, and effective -- may be closer to reality. However, starting around 2013, there has been a steady growth in innovation interest, showing that the space may be in a phase where it could lead to a significant impact. "While each category has its own defining features, there is overlap and synergy between the categories," explains Cole McCollum, Analyst at Lux Research and lead author of the report. "For example, lab automation can be used to collect experimental data, which can then be fed into informatics systems to ultimately generate knowledge."

The US health and medical insurance industry is a $1.1-trillion maze that is impossible to navigate. And in the bigger scenario of a massive $11-trillion-plus global healthcare industry, America is definitely not first. Americans are fed up, and a digital revolution that goes way beyond telemedicine is the only thing that will restore control. Fixing it is a highly disruptive, multi-trillion-dollar opportunity. Telemedicine, or'Telehealth', will soar from $42 billion in 2018 to $400 billion in 2026. Healthcare IT alone will be worth $390 billion by 2024.

This article is part of the VB Lab / Nvidia GTC insight series. NVIDIA is hosting another of its trademark GTC events next week, and many are wondering what CEO Jensen Huang might be cooking up in his November 9th keynote. Judging by a few of his past keynotes, we think it's safe to assume that he'll focus on five major areas. Accelerated computing: This has long been NVIDIA's stock-in-trade -- the combination of GPUs and specialized software delivering outsized performance in a variety of domains. Gaming is an obvious example, with recent advances like RTX graphics and DLSS boosting performance and realism.