Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Mashable Selects Mashable Voices Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series Why Gen Z is ditching mainstream dating apps for'hyper-niche' spaces Gen Z is taking a step back from dating apps and discovering new ways to connect through smaller and smaller online communities. Here's a not-so-novel theory of cultural development that you should be aware of, especially if you're an older person wondering about the behaviors of younger people: When TV and the internet first emerged on the cultural scene, they had a unifying effect on people. After all, there were only a handful of television channels you could watch, so everyone watched, and . Just take a look at IMDB's list of the Most Watched Series Finales Ever, and you'll see it's dominated by shows that first aired in the '70s, '80s, and '90s. Fast forward to the early 2000s, when social media first emerged, and you have a similar effect: everyone had a MySpace or Facebook account because there wasn't really any other game in town.

Look Up Mashable Selects Mashable Voices Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series'Silo' Season 3, episode 8: We may finally know how the world ends It's not what we were expecting... Sam Haysom is the General Assignment Editor, UK, for Mashable. He covers entertainment and online culture, and writes horror fiction in his spare time. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. We're finally getting the answers we've long been craving.

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. This month we speak with Demetrios for the second time about: what ML and MLops are, narrow machine learning being still relevant, vibe coding, working with agents, talking to your computer, unknown productivity gains of LLMs, the chat interface as a bad interface for all knowledge, AIs that know when they're wrong, the lack of ground truth, and more Demetrios founded the largest community dealing with producitonizing AI and ML models. The MLOps Community is now where tens of thousands of practitioners come to learn from one another. In his free time he can be found building stone stackings in the woods with his daughters. This podcast was created and is run by Ben Byford and collaborators.

On Rashomon sets, the mathematics of simplicity, and why we don't need black boxes: an interview with Cynthia Rudin Welcome back to AI Pioneers - in-depth conversations with those shaping the field . This time, we speak with Cynthia Rudin, a trailblazer in the field of interpretable machine learning. Winner of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, Cynthia's algorithms are already predicting seizures, aiding crime detection, and powering biological research . We discuss black boxes, Rashomon sets, and what's next for her lab - from cancer detection to interpretable AI-generated music. Can you tell me a bit about your background - what drew you into the field of interpretable machine learning?

AIhub Coffee Corner: does AI change the way we think? This month we ask whether AI tools are changing the way we think. Joining the conversation this time are: Joydeep Biswas (The University of Texas at Austin), Sanmay Das (Virginia Tech), Rina Dechter (University of California, Irvine), Sabine Hauert (University of Bristol), Michael Littman (Brown University), and Marija Slavkovik (University of Bergen). There's just so much to discuss there. I don't know how to start. First of all, it is definitely changing how we write code, develop code, think about correctness, and work on projects. Once upon a time, implementation used to be bottlenecked by writing the code. We are no longer bottlenecked by writing the code, we are bottlenecked in testing and understanding for correctness. As a researcher, there's a lot of what I would call throwaway tools.

Over a billion people worldwide have livers with excess fat, which can lead to a host of medical problems. Researchers think AI tools can spot the condition--and help stop it--early enough to save lives. All over the world, a slow, insidious change is taking place in the composition of the livers of more than a billion people. While the presence of fat in a normal, healthy liver is negligible, many adults and even children have livers where fat exceeds 5 percent or even 10 percent of the organ's total weight. Its unnatural presence causes inflammation, cell damage, and the formation of scar tissue known as fibrosis, all hallmarks of fatty liver disease, a condition that now impacts approximately 30 percent of adults worldwide .

At the launch of the Pixel Watch 5, Google announced Health Guardian, a new suite of tools to keep an eye on your health. Google says its new platform will be able to see trends on your blood pressure, breathing and, most interestingly of all, insulin resistance. If it has been able to achieve the latter, then the consequences could be staggering. Cuffless blood pressure monitoring is increasingly common in high-end wearables, but with a lot of caveats around accuracy. Samsung's Galaxy Watch feature, for instance, asks that users regularly calibrate their watch against a traditional blood pressure cuff.

Look Up Say More Versus Creator Hub Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Safety Net In My Bag VidCon with Mashable Back to School Furtastic All Series'Silo' Season 3, episode 6 gives us a huge clue about the algorithm Does that mean what we think it means? Sam Haysom is the General Assignment Editor, UK, for Mashable. He covers entertainment and online culture, and writes horror fiction in his spare time. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

The easy answer is that truly accurate calorie expenditure can't be obtained from your wrist. As smartwatches are unable to measure your metabolism, they have to analyze data such as heart rate measurements or the distance you've covered during a run before they can make a ballpark guess at how many calories you've burned. Whereas fitness wearables can directly measure your heart rate from your wrist, energy expenditure has to be calculated through proxy methods, such as machine learning algorithms. Anna Shcherbina, an assistant professor who also worked on the Stanford University study mentioned above, partially blames the algorithms wearables are using to assess calorie output. "My take on this is that it's very hard to train an algorithm that would be accurate across a wide variety of people because energy expenditure is variable based on someone's fitness level, height and weight, etc," stated Shcherbina.

The company has drawn governments, a major chipmaker, and the Pentagon into an effort to control fragile photons and build a useful quantum machine. It aims to be the first. PsiQuantum aims to build a quantum computer that can solve some of science's hardest problems. Its chips, cut from wafers like the one shown here, will perform computations using photons, the particles of light. The machine that could change the world will be housed in a room that looks like a data center crossed with an ice cream factory. Inside will be some 100 stainless-steel cabinets, each about six feet tall and connected to a supply of liquid helium that keeps them only a few degrees above absolute zero. Inside those cabinets will be hundreds of chips, and on those, thousands of particles of light flying through a maze of optical switches and beam splitters.