AI developments from generating videos, voices, pictures and human-like conversations are growing rapidly, lawmakers say they are trying to keep up. WASHINGTON, D.C. – As the ramifications of AI's growing ability become increasingly apparent, lawmakers on Capitol Hill graded their understanding of the new technology from one to 10. "I put my knowledge on a scale of one to 10 at about a 1.5," Republican Sen. Cynthia Lummis said, giving herself the lowest rating among the politicians who spoke with Fox News. Another Republican, Rep. Nancy Mace of South Carolina, had the most confident response. "I'd say it's eight or nine," she said. Elon Musk and more than 1,000 others in March called for an immediate pause on "giant AI experiments," warning the rapidly developing sector may pose security threats.

Scott Mann had a problem: too many f-bombs. The writer-director had spent production on "Fall," his vertigo-inducing thriller about rock climbers stuck atop a remote TV tower, encouraging the two leads to have fun with their dialogue. That improv landed a whopping 35 "f-cks" in the film, placing it firmly in R-rated territory. But when Lionsgate signed on to distribute "Fall," the studio wanted a PG-13 edit. Sanitizing the film would mean scrubbing all but one of the obscenities. "How do you solve that?" Mann recalled from the glass-lined conference room of his Santa Monica office this October, two months after the film's debut.

AI is driving the future of fitness, and companies like Peloton are leveraging the technology to enhance products and improve experiences for users. But what role will AI and data play in the future of at-home and connected fitness, and how it will increasingly shape the landscape? It's hard to justify paying $2,300 for a smart exercise bike. Luckily, there are a few alternatives to Peloton available. Peloton Guide (Peloton's first connected strength device) is a good case study.

Before droves of people descend on a convention center for a trade show or conference, the hall must be carefully divided up to accommodate corporate show booths, walkways for attendees, spaces for administrators/security and much more. The process of defining the layout and marking it up for construction crews is often done with humans laboriously measuring and marking distances, but Lionel can do all of this for you. Once given a plan, it zooms along empty convention halls while precisely marking all of the dimensions for the schematics that you have in mind. Lionel, the floor-marking robot, was made specifically for the organizers of trade shows and conferences. Lionel isn't a robot that you'd typically think of when you imagine new applications of technology, but it fills a niche that there is strong demand for.

Inside of the development studios of San Francisco-based Dexterity, Inc. there is a robot arm that stands as tall as a human. It is placed between a conveyor belt and several wooden pallets, all of which are typical of most warehouse packing facilities. But this is no typical warehouse facility. This is the location where most warehouse packing facilities would have teams of people manually picking up boxes from the conveyor belt and carefully placing them onto the pallets for wrapping and shipping, but there are no such people here. Instead, as the packages come down the belt, this robot recognizes them, picks them up, and then deposits them onto the target pallet with a gentle touch.

The DONUts platform may look like a collection of bronze-colored, futuristic coffee cups, but everything becomes clearer as they begin to move. The group of modular robots dance in a well-choreographed symphony as magnets turn on and off allowing the modules to pull or push their neighbors. Using these simple interactions, the modular robots can achieve complex tasks such as energy harvesting [1]. Nialah Wilson is one of the key roboticists who helped bring these modular robots to life. Taking advantage of the right message, passed at the right time, is also one of the things that led to Nialah's career in robotics.

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. Merve Hickok is the Senior Research Director of the Center for AI and Digital Policy, and the Founder of AIethicist.org. She is a social researcher, consultant and trainer on AI ethics & policy. Her work on AI is focused on bias, social justice, DE&I, public interest and participatory development and governance. She aims to create awareness, build capacity, and advocate for ethical and responsible development & use of AI.

Ashish Kachru is President and General Manager of the GuidingCare division of HealthEdge Software. As our healthcare system struggles toward a model in which consumers are at the center of the equation, technology is playing a rapidly increasing role in smoothing their way through the ecosystem. Consumers are demanding a better healthcare experience, but there's a massive collision coming between the exabytes of global health data and consumer health and insurance illiteracy. "Interoperability" describes a set of American regulatory initiatives that are in play right now and will drive change in the industry for years to come. As president of a healthcare technology company, I believe them to be as significant as any changes to the system made in this century, including the introduction of HIPAA privacy regulations and the Affordable Care Act.

Hinge wants to know about your bad dates. The dating app launched a feature on Tuesday called'We Met' that invites users to share how their first dates went. From there, Hinge will use the data to boost its AI-powered recommendations and help serve up future matches. Hinge wants to know about your bad dates. The dating app launched a feature on Tuesday called'We Met,' that invites users to share how their first dates went Launched in 2012, Hinge is unlike Tinder in that it doesn't use swiping as a method to scroll through profiles.

China's top security officer has revealed plans to use artificial intelligence to predict crime, terrorism and social unrest before it happens. Meng Jianzhu, the head of the Chinese Community Party's central commission for political and legal affairs, said the government would start to use AI software which uses machine learning, data mining and computer modelling to predict where crime and disorder is likely to occur. "Artificial intelligence can complete tasks with a precision and speed unmatchable by humans, and will drastically improve the predictability, accuracy and efficiency of social management," Mr Meng told colleagues at a meeting in Beijing on Friday. He said security forces should look for patterns in data about terror attacks and build an analysis model to help authorities predict where the attack may strike, Chinese news website thepaper.cn Mr Meng also called for all elements of the Chinese state and the party to share data with each other and for renewed efforts to integrate surveillance footage systems across the country.