Any dog--even your own--can learn this valuable canine skill. 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. Freedom, a beagle trained by Jeremy Ecker of The Bedbug Inspectors, demonstrates how he sniffs out bed bugs. Lucky works for the Pennsylvania Department of Agriculture. Her job is to track down spotted lanternfly eggs before they can hatch and cause trouble.

The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request . The program, called Polygraph+ or Polygraph Next, will focus on scoring algorithms that use artificial intelligence and machine learning and on a technique called "standoff sensing," which refers to the ability to take physiological readings without attaching a device to a subject's person. According to details of the budget document, which were first reported by, the project will "modernize federal polygraph and credibility assessment technologies" to improve their accuracy and reliability. But the project may be just the latest in a long line of failed attempts to use technology to detect lies. "It's a misguided effort to reduce the complex to something that is tangible," says Kyri Kotsoglou, a legal scholar at Northumbria University in the UK who studies the use of polygraphs in the justice system.

There has been significant progress in using AI as a tool in the detection, prevention and treatment of cancer. There has been significant progress in using AI as a tool in the detection, prevention and treatment of cancer. Big tech says AI can find a cure for cancer. Alongside warnings about its ability to destroy humanity, artificial intelligence is also hailed for its potential to revolutionise health treatment. Just how far can it take us? June would be the last month she ever knew.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . His home changed hands for $5. Could it happen to your family? Flying taxis are taking off in Texas. Can tech really get you off your phone and into real life? Trump has laid'formidable' groundwork against China ahead of meeting: Katie Zacharia'Gutfeld!':

City Detects's Blight Scores can help catch code violations, but critics aren't so sure. 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. Garbage trucks have a new side hustle: unkempt yard snitches. Garbage trucks now do more than just pick up tossed-out food scraps and junk. In at least four states (California, Georgia, South Carolina, Texas), some city-run sanitation vehicles are being outfitted with AI-equipped cameras from a company called City Detect .

When you purchase through links in our articles, we may earn a small commission. Thresholds over 0.8 inches are an obstacle The Roborock Qrevo Edge 2 is a great pick if you have low furniture and lots of edges to clean, but its limited threshold clearance and lack of automatic cleaning-solution dispensing keep it from being an all-around winner. Robot vacuum cleaners with a slim design have (so far) been largely limited to expensive flagship models. The Roborock Qrevo Edge 2 brings this design to a much more affordable price. That said, Roborock still includes key convenience features like the extendable side brush, lifting mop pads, and a mostly self-cleaning dock. Our test shows just how the savings in chassis design, obstacle detection, and cleaning solution dispensing affect everyday use, as well as the advantages of the low profile design. The robot measures 13.9 13.9 3.1 inches and weighs 9.9 pounds.

When you purchase through links in our articles, we may earn a small commission. Overall, the AquaSense 2 Ultra is a great choice for larger, more demanding pools, but its high price is hard to justify for a standard pool. Battery-powered pool robots now use structured navigation, route planning, wall detection, and app connectivity, with software becoming an increasingly important differentiator. In a practical test carried out in a round foil above-ground pool with a stainless steel ladder, the setup, app control, standard cleaning cycle, and post-cleaning procedures were assessed. Beatbot positions the AquaSense 2 Ultra as the flagship model of the AquaSense series, and it certainly looks the part. The housing measures 17.9 17.3 10.9 inches and weighs 29.1 pounds when empty. This makes the AquaSense 2 Ultra one of the heavier pool robots.

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?

When you purchase through links in our articles, we may earn a small commission. Windows users face greater risks from Trojans and viruses, while macOS users have another threat to worry about. VPN provider Surfshark has investigated the extent to which Windows and macOS are at risk from malware and phishing. The result: Windows users face a risk six times greater than macOS users. According to its own figures, the cybersecurity firm analyzed 391,305 malware detections logged by Surfshark Antivirus between January 1 and July 31.

We deploy a simple into our everyday lives as search engines (Jin et al., 2025; statistical framework based on risk control (Angelopoulos Xiong et al., 2024), coding assistants (Zhao et al., 2023), et al., 2022) that converts any safety signal into a binary and companions (Zhang et al., 2025a). As their applicability grows, so does the potential harm caused by malicious decision rule, and offers statistical guarantees on the false LLM outputs. Despite remarkable performance across a alarm or missed detection rate. The framework is universally applicable to different monitoring purposes and can leverage wide range of tasks, LLMs remain prone to generating halarbitrary proxy signals. Through experiments on mathematlucinated, factually incorrect (Ravichander et al., 2025), or ical problem solving and red teaming conversations, we harmful output (Yu et al., 2025) when deployed.