An Elon Musk-backed startup looking to connect human brains to computers will make a major announcement on Tuesday, according to a recent tweet from the CEO. The mysterious announcement, which Musk chose not to elaborate on in his tweet, follows years of radio silence from the company and was foreshadowed by Musk -- the CEO of Tesla and SpaceX -- earlier this year. The event will take place in San Francisco and will presumably have something to with what the company's website calls an'ultra high bandwidth brain-machine interfaces to connect humans and computers.' Elon Musk said his mysterious Neuralink startup will make an announcement tomorrow for the first time in two years. While many tech leaders push that AI will become invaluable to humanity, others argue it poses a threat to our species.

WASHINGTON - The use of robots in U.S. manufacturing has more than tripled over the two decades, and has doubled in the rest of the world, replacing certain categories of worker, according to a report published Monday. As of 2017, automation in the United States had risen to 1.8 robots for every 1,000 workers from just 0.5 recorded 22 years earlier, according to research by the Federal Reserve Bank of St. Louis. The report found the highest prevalence of robots in the auto sector, with France in the lead, followed by the United States and Germany. Automation has eroded the number of intermediate "middle-skill" occupations, while the share of high-skill and low-skill positions has grown, it said. France leads the way in employing robots to build cars, using 148 robots for every 1,000 workers, compared to 136 in the United States, while Italy and Germany each use about 120, the study found.

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. It's cost effective to snag smart home products when they're on sale, and right now it just so happens that Amazon is having a huge sale on just about everything. That includes otherwise pricey smart home devices from brands like Hue, Sonos, Arlo, Ring, and many more. We've rounded up the most impressive best Prime Day deals on smart home products below.

The Bank of England's new 50-pound note will feature mathematician Alan Turing, honoring the code-breaker who helped lay the foundation for computer science. The Bank of England's new 50-pound note will feature mathematician Alan Turing, honoring the code-breaker who helped lay the foundation for computer science. Alan Turing, the father of computer science and artificial intelligence who broke Adolf Hitler's Enigma code system in World War II -- but who died an outcast because of his homosexuality -- will be featured on the Bank of England's new 50-pound note. The new note will be printed on polymer and will bear a 1951 photo of Turing, the bank announced Monday. It's expected to enter circulation by the end of 2021. It will include a quote from Turing: "This is only a foretaste of what is to come and only the shadow of what is going to be." Turing was just 41 when he died from poisoning in 1954, a death that was deemed a suicide.

Bottom line: Machine learning is enabling threat analytics to deliver greater precision regarding the risk context of privileged users' behavior, creating notifications of risky activity in real time, while also being able to actively respond to incidents by cutting off sessions, adding additional monitoring, or flagging for forensic follow-up. A commonly-held misconception or fiction is that millions of hackers have gone to the dark side and are orchestrating massive attacks on any and every business that is vulnerable. The facts are far different and reflect a much more brutal truth, which is that businesses make themselves easy to hack into by not protecting their privileged access credentials. Cybercriminals aren't expending the time and effort to hack into systems; they're looking for ingenious ways to steal privileged access credentials and walk in the front door. According to Verizon's 2019 Data Breach Investigations Report, 'Phishing' (as a pre-cursor to credential misuse), 'Stolen Credentials', and'Privilege Abuse' account for the majority of threat actions in breaches (see page 9 of the report).

Amazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that "advances in automation technology will handle many tasks now done by people." The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.

Amperity, a Seattle, WA-based AI-powered Customer Data Management platform, raised a $50M Series C financing. Backers included Tiger Global Management, Goldman Sachs, Declaration Partners, Madera Technology Partners, Madrona Venture Group, and Lee Fixel. The company, which has now raised total funding to-date to $87m, intends to use the funds to accelerate new capabilities, as well as expand into new verticals including financial services, automotive, insurance, and healthcare, while continuing to grow within the retail, travel, and hospitality industries. Led by Kabir Shahani, CEO and co-founder, Amperity leverages artificial intelligence to provide a Customer Data Management platform for companies to connect, identify, and understand their customers, improve marketing performance, accelerate accurate customer insights, and enable customer experiences. The company serves brands such as Alaska Airlines, Starbucks, The Gap Inc, Moët Hennessy USA, Wynn Resorts, Kendra Scott, Lucky Brand, Planet Fitness, Seattle Sounders, Stanley, and many more.

For some, a rose is a symbol of beauty or love. For Shaza Mehdi, it is a connection to her mother, but also a gateway to innovation. Mehdi's mother, Afshin, grows rose bushes at their Lawrenceville home. But a few years ago, the plants kept getting diseases, ruining the blooms. Mehdi tried diagnosing the flowers by Googling images of plant diseases and comparing those images with the sick roses.

Amazon Alexa, which sits in your house and accepts voice commands enabling it to play music, activate lights, read news headlines and many other functions, is one of several intelligent personal assistants currently vying for dominance alongside Google Home and the Apple HomePod. Now however, Amazon is aiming to take this technology one step further by implementing it in to an actual robot that can not only answer questions, but also move autonomously around your home. Codenamed'Vesta', the new device is currently being worked on by Amazon's Lab126 research and development arm in Sunnyvale, California. According to reports, the web giant had intended to reveal the robot earlier this year but it wasn't quite ready for mass-production and more engineers have since been assigned to help speed things along. Rumor has it that the robot will be about waist-high and can navigate using an array of cameras.

Imagine showing a photo taken through a storefront window to someone who has never opened her eyes before, and asking her to point to what's in the reflection and what's in the store. To her, everything in the photo would just be a big jumble. Computers can perform image separations, but to do it well, they typically require handcrafted rules or many, many explicit demonstrations: here's an image, and here are its component parts. New research finds that a machine-learning algorithm given just one image can discover patterns that allow it to separate the parts you want from the parts you don't. The multi-purpose method might someday benefit any area where computer vision is used, including forensics, wildlife observation, and artistic photo enhancement.