Flock cameras track more than your license plate, and they're spreading fast Flock cameras track more than your license plate, and they're spreading fast You can't get a breath of fresh air ... without us knowing. Thanks to the rise of AI, a new kind of surveillance camera has rapidly proliferated across the United States. Typically referred to as automated license plate readers, or ALPRs, they're most often mounted along roadways, where they log the movements of cars which pass through their field of vision. Though various companies offer them, the most well known come from Flock Security, and the company has consequently been a lightning rod for public opinion. Shocking exactly nobody, there has been widespread public backlash to cameras that track everyone, whether or not they've been suspected of a crime.

Large language models (LLMs) excel at complex reasoning tasks but remain computationally expensive, limiting their practical deployment. To address this, recent works have focused on distilling reasoning capabilities into smaller language models (sLMs) using chain-of-thought (CoT) traces from teacher LLMs. However, this approach struggles in scenarios requiring rare factual knowledge or precise computation, where sLMs often hallucinate due to limited capability. In this work, we propose Agent Distillation, a framework for transferring not only reasoning capability but full task-solving behavior from LLM-based agents into sLMs with retrieval and code tools. We improve agent distillation along two complementary axes: (1) we introduce a prompting method called first-thought prefix to enhance the quality of teacher-generated trajectories; and (2) we propose a self-consistent action generation for improving test-time robustness of small agents. We evaluate our method on eight reasoning tasks across factual and mathematical domains, covering both in-domain and out-of-domain generalization. Our results show that sLMs as small as 0.5B, 1.5B, 3B parameters can achieve performance competitive with nexttier larger 1.5B, 3B, 7B models fine-tuned using CoT distillation, demonstrating the potential of agent distillation for building practical, tool-using small agents.

At 21, Speed has pushed the limits of streaming by transforming a distinctly solo format into a global group chat. His song for this year's World Cup is becoming the tournament's unofficial anthem. Streamer IShowSpeed is a huge soccer fan who plans to bring this year's World Cup to his millions of followers. In the days leading up to the 2026 World Cup, the streamer IShowSpeed--one of the most watched people on the planet, who occasionally moonlights as a rapper--released the music video " World Cup (Champions)," a song about flexing national pride where he mentions all 48 teams. As with everything the 21-year-old born Darren Watkins Jr. does, the video was instantly everywhere. The song racked up over 7 million views on YouTube in under 24 hours. The internet rushed to christen it as the anthem of the tournament, even though the World Cup already has one. FIFA, following a ridiculous outpouring from fans and perhaps realizing the massive instant exposure he could bring, added the song to its official album.

Science Archaeology America's Time Capsule includes fabric from the Wright Brother's plane, whale bone, poker chips, and more The time capsule will remain sealed in Philadelphia for 250 years. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The state of Ohio included fabric from the Wright Brothers' 1903 flight at Kitty Hawk, North Carolina. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Musician Ed Sheeran created his own line of loopers so anyone can record and layer riffs in a loop to become a one-man band. Routing options are robust and intuitive. Pedals are tactile and easy to press. "Mode" switch customization is clutch. Touchscreen makes setup a breeze.

Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. Over the course of the next few months, we'll be talking to some of the 2026 AAAI Fellows. In this interview, we met with Tanya Berger-Wolf, who was elected as a Fellow . We found out about her latest research developing a foundation model for biology, the insights this model can provide, interesting collaborations over the years, and what the future has in store. Could you start with a quick introduction and tell us about the broad area that you're working in? My area of research is in AI for ecology, biodiversity, and conservation.

Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. While at Ohio State, Jaxon Smith-Njigba--the football artist known as JSN--broke the record for receiving yards at the Rose Bowl, with 347 on New Year's Day 2022. In his rookie NFL season with the Seattle Seahawks in 2023, his one-handed catch on Thanksgiving, in front of a prime-time national TV audience, announced his arrival.

EASE Logistics and Einride are deploying cab-less electric autonomous trucks on public roads in Marysville, Ohio this summer to move freight between warehouse locations.

Federated Learning is a leading framework for training ML and AI models collaboratively across numerous user devices or databases. We study the trade-offs among estimation accuracy, privacy constraints, and communication cost for differentially private (DP) federated M estimation. The two standard methods in the literature are FedAvg, which may suffer from high federation bias, and FedSGD, which can incur high communication cost. Aimed at improving accuracy at a reduced communication cost, we propose FedHybrid, which uses FedSGD starting with an improved initialization by the FedAvg estimator. We propose FedNewton, which averages local Newton iterations to reduce bias in FedAvg, achieving an estimation accuracy comparable to FedSGD with much fewer communication rounds when the number of clients grows sufficiently slowly. We establish finite sample upper bounds on the mean-squared error rates of the DP versions of these estimators as functions of the number of clients, local sample sizes, privacy budget, and number of iterations. We further derive a minimax lower bound on the MSE of any iterative private federated procedure that provides a benchmark to assess the optimality gap of these methods. We numerically evaluate our methods for training a logistic regression and a neural network on the computer vision datasets MNIST and CIFAR-10.

Biohacker Bryan Johnson recently bragged about his girlfriend's "top 1%" vagina as the at-home vaginal microbiome test industry is thriving. Farrah was fed up with her vagina . For the past two years, the 29-year-old dancer from Ohio had been dealing with severe pelvic pain and vaginal odor. "It was like 8/10, horrible core pain," she says. When she visited doctors, she told them what she thought the culprit was: an allergic reaction to soy oil in a vat of water she'd swam in during a pirate-themed dinner theater performance. But they didn't believe her.