Environment Animals Wildlife Endangered Species Bon voyage, Papyrus! 5 rescued sea turtles named after fonts released in Cape Cod The endangered Kemp's ridley sea turtles were found in December 2025. 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. A rehabilitated Kemp's ridley sea turtle named Gigi entering Nantucket Sound on July 22, 2026. 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 .

A new toolkit for attorneys in Massachusetts targets the technologies police use--and conceal--to build criminal cases, from facial recognition to AI-written police reports. The American Civil Liberties Union of Massachusetts says it's releasing an online toolkit this week for criminal defense attorneys designed to uncover whether police used surveillance technologies --facial recognition, automatic license plate readers, gunshot detection systems, and more--to build the cases against their clients in secret. The toolkit, which the group describes as the first of its kind, is built around handcrafted legal motions that, when granted by a judge, will force prosecutors to reveal whether surveillance technology was used against a defendant. It covers an array of technologies, from "stingray" phone trackers and location data sold by commercial brokers to AI-drafted police reports and forensic tools that crack phones and siphon data from car infotainment systems. It also includes preservation motions--demands that surveillance data be saved before it is deleted automatically--aimed at government agencies and private vendors alike.

'Rats have a bad reputation, but they actually make really great companion pets.' Rats are much more clean than their reputation suggests. Breakthroughs, discoveries, and DIY tips sent six days a week. A non-profit organization in Massachusetts received a boatload of pet rats in need of new homes. An individual in northeastern Massachusetts surrendered 163 rats in early February. That's almost 60 percent more than the total number of rats that were adopted from the Massachusetts Society for the Prevention of Cruelty to Animals-Angell (MSPCA-Angell) in 2025 alone.

As prediction market platforms like Polymarket and Kalshi battle regulators in court, Senate Democrats are urging the CFTC to avoid weighing in, escalating a broader fight over the burgeoning industry. Senator Adam Schiff, a Democrat from California, is leading the group of lawmakers urging the CFTC to stay out of state prediction market lawsuits. A group of 23 Democratic US senators sent a letter Friday to the top federal regulator overseeing prediction markets, urging the agency to avoid weighing in on pending court cases over the legality of offerings on the platforms tied to "sports, war, and other prohibited events." Prediction markets, which sell contracts tied to the outcome of real-world developments, have exploded in popularity over the past year, attracting an increasingly mainstream fanbase eager to wager on everything from geopolitical conflicts to fashion choices to the Super Bowl. As they expanded, the platforms have become a magnet for ethical and legal controversies.

As COVID-19 transitions into an endemic disease that remains constantly present in the population at a stable level, monitoring its prevalence without invasive measures becomes increasingly important. In this paper, we present a deep neural network estimator for the COVID-19 daily case count based on wastewater surveillance data and other confounding factors. This work builds upon the study by Jiang, Kolozsvary, and Li (2024), which connects the COVID-19 case counts with testing data collected early in the pandemic. Using the COVID-19 testing data and the wastewater surveillance data during the period when both data were highly reliable, one can train an artificial neural network that learns the nonlinear relation between the COVID-19 daily case count and the wastewater viral RNA concentration. From a machine learning perspective, the main challenge lies in addressing temporal feature reliability, as the training data has different reliability over different time periods.

Jackie (short for jack-o'-lantern) owes her unique colors to a mixture of chemical compounds. Breakthroughs, discoveries, and DIY tips sent every weekday. A rare and seasonally-colored lobster is joining spiders, bats, and even some oozing fungi as some of nature's best Halloween ambassadors. Jackie is a calico lobster and the odds of catching a crustacean like this are about one-in-20 million, according to the Marine Science Center outreach coordinator Sierra Munoz. This makes Jackie even more rare than the center's other recent star, Neptune the blue lobster .

Queens Zoo's breeding program aims to protect the vulnerable New England cottontail. Breakthroughs, discoveries, and DIY tips sent every weekday. The grey-brown New England cottontail ()--New England's only native rabbit --once thrived throughout the northeastern United States. In recent decades, however, the species' population has plummeted due to habitat loss, and its range has diminished by over 80 percent since the 1960s. What's more, New England cottontails are often outcompeted by the non-native eastern cottontail ().

Environment Animals Wildlife Fish Self-piloting submarine set to begin historic mission to circle Earth's oceans Breakthroughs, discoveries, and DIY tips sent every weekday. An autonomous submersible named Redwing is heading out on a truly historic voyage. If successful, it will achieve the first around-the-world ocean trip made by an unpiloted underwater vehicle . Marine engineering company Teledyne Marine and researchers at Rutgers University in New Jersey are planning to launch the nearly nine-foot-long, specially outfitted Slocum Sentinel Glider on October 11 from Woods Hole Oceanographic Institution off the coast of Martha's Vineyard in Massachusetts. A livestream of the launch will be broadcast here, beginning at about 8:15 a.m. EDT on Saturday October 11.

While search-augmented large language models (LLMs) exhibit impressive capabilities, their reliability in complex multi-hop reasoning remains limited. This limitation arises from three fundamental challenges: decomposition errors, where tasks are incorrectly broken down; retrieval missing, where key evidence fails to be retrieved; and reasoning errors, where flawed logic propagates through the reasoning chain. A single failure in any of these stages can derail the final answer. We propose Erasable Reinforcement Learning (ERL), a novel framework that transforms fragile reasoning into a robust process. ERL explicitly identifies faulty steps, erases them, and regenerates reasoning in place, preventing defective logic from propagating through the reasoning chain. This targeted correction mechanism turns brittle reasoning into a more resilient process. Models trained with ERL, termed ESearch, achieve substantial improvements on HotpotQA, MuSiQue, 2Wiki, and Bamboogle, with the 3B model achieving +8.48% EM and +11.56% F1, and the 7B model achieving +5.38% EM and +7.22% F1 over previous state-of-the-art(SOTA) results. These findings suggest that erasable reinforcement learning provides a powerful paradigm shift for robust multi-step reasoning in LLMs.