YouTube's Custom Feeds Give You More Control Over the Algorithm In YouTube's latest update, viewers can tweak what the algorithm shows on their front page and curate it to a specific vibe. My YouTube algorithm is sacred, with years of data about my preferences and viewing history fermenting into whatever videos it picks for my home screen. YouTube's algorithm, while not perfect, sure knows what I want to see. The current top three videos on my front page are an Apple Watch analysis, a season 28 update, and something called "I Lost to the Muppets" from comedian Chris Fleming . As part of its Made on YouTube event Wednesday, Google released several new features, including a Custom Feeds button for adjusting what videos pop up on your front page. It's a rare chance for users to directly tweak their algorithmic feed on YouTube, in ways that go beyond just pressing thumbs up on a video or blocking a creator.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Look Up Say More Safety Net Versus Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off All Series The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. Learn how to use AI more effectively with the Ultimate AI Assistant Masterclass, now $15.99 (reg. Most AI assistants are free to use, but getting useful answers out of them takes more than typing a question into a box.

In this summary article, organisers of a tutorial and a workshop at IJCAI-ECAI 2026 pick their key takeaways from their respective sessions. This tutorial was a practical, hands-on tutorial on the theory and methods for handling missing data in tabular and imaging settings, from statistical baselines to autoencoders and generative adversarial networks. The missingness mechanism is more important than the choice of imputation method. MCAR, MAR, and MNAR settings call for different treatment, and MNAR, the most challenging mechanism, is the one that most methods do not handle well. Deep generative imputation is not always better.

Albuquerque Public Schools spent hundreds of thousands in pandemic relief funds on anti-racism training instead of student learning recovery, records show.

'This is an apartheid regime' Does Trump have real leverage over Netanyahu? A handful of electronic components, a few wires and a basic programmable circuit board are enough to bring a group of curious children around a table in central Gaza to learn about robotics. Students at The Next Gen Team: Rising Robotics Engineer Project in Deir el-Balah learn how to integrate sensors into alarm systems, study robotics, understand how motors and drive units work, as well as get firsthand experience with programming. The robotics and early warning systems they are working on could make way for bigger developments such as early detection of gas leaks and fires or help rescue workers access hard-to-reach areas, such as victims trapped under rubble. Today's lesson will also teach students the sciences of the future and help them keep pace with technological advancements happening outside Gaza's borders. Before the war, students had access to schools, universities, incubators and training programmes to pursue an interest in technology.

The longtime tech journalist says she's seen Silicon Valley make the same mistakes again and again. As the AI industry likes to tell it, superintelligent bots could one day cure cancer and end poverty. Or in the worst-case scenario, they might wipe out all humans from the face of the Earth. In recent weeks, Silicon Valley's existential concerns about the technology it is racing to build have blown up. The tech journalist Kara Swisher sees it differently. "We have to stop thinking AI is going to kill humanity," she told executive editor Adrienne LaFrance at The Atlantic Festival. If the AI future goes sideways, bots won't be to blame. "These are people at the helm of these things." In the several decades that Swisher has covered Silicon Valley--formerly as a reporter at, now as the host of two podcasts--she says that she's seen tech whizzes make the same mistakes again and again: failing to take proper precautions against the products they are building. "One of the things about tech people is they're the smartest people in the world, in case you need to know, because they like to tell you," she said. In her interview with LaFrance, Swisher also discussed the economic implications of the AI race, who is likely to win, and how Americans can respond to this dizzying and worrying AI moment. You have been paying attention to the tech world and AI for basically ever. And now it seems like within the past, say, two weeks, the rest of the world is suddenly paying much closer attention. So I wanted to start just by talking about where you think we are, in this moment.

Should the Classroom Be More Like the Gym? As A.I. presses harder on the academic enterprise, we might look to a place where process is its own reward. When I'm in New York, I take spin classes on the Upper East Side. It is not especially pleasant. It is not supposed to be. We have chosen, quite deliberately, to subject ourselves to forty-five minutes of physical discomfort for benefits accrued down the road: better health, greater strength, a future version of ourselves that will justify the soreness tomorrow morning.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Mashable Selects Creator Playbook In My Bag Say More Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net All Series A little AI knowledge can go a long way. The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. Get lifetime access to six AI courses covering ChatGPT, Claude, AI fundamentals, and more for $29.99 (reg.

When you purchase through links in our articles, we may earn a small commission. IT certification training usually runs hundreds of dollars per exam track, and they only get more expensive as you add new credentials. If you want a smarter option, the All-in-One CompTIA Certification Prep Bundle gives you 10 prep courses for industry certifications, and lifetime access is on sale now for $24.99 (reg. Beginners can start with the Tech+ fundamentals course and the A+ hardware track, then move on to Network+ and Security+ after learning the basics. Each course uses practice tests, quizzes, and hands-on exercises instead of plain memorization.

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 time we're chatting with E.M. about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, Mozilla Data Collective, under-represented cultures in datasets, accidental monocultures with technology, negative uses of datasets, AI literacy, the instability of LLMs and more E.M. Lewis-Jong is a Founder, Impact Entrepreneur and HCI researcher working at the intersection of community technology, open data, and inclusive AI. They are the Founder and CEO of the Mozilla Data Collective, a community-led platform for ethical creation, curation, and control of AI training datasets; built on the principle that people should be able to share their data on their own terms. They previously served as a VP at Mozilla Foundation, and the Director for Mozilla's Common Voice, an open-source platform enabling communities worldwide to preserve, revitalise, and contribute their languages to the future of speech tech. E.M. holds an MA in Modern History from the University of Oxford and is expecting a PhD in Informatics and Engineering at the University of Sussex, with research focused on controllability in conversational and voice AI for adolescents.