Specialized search for Machine Learning

21+ hour, 5+ min ago (1476+ words) A Christmas art poster contest in Bozeman exploded into controversy after the winning design was accused of being generated by artificial intelligence. The Downtown Bozeman Partnership pulled the winning design entirely citing safety concerns. BOZEMAN, Mont. " What began as a small-town art contest to create a poster for a beloved holiday tradition has snowballed into an avalanche of controversy and media attention for the contest's winner." The 45th Annual Christmas Stroll poster competition in Bozeman offered a modest $200 prize. It ended with accusations, investigations, online harassment, and a decision by the Downtown Bozeman Partnership to pull the winning design entirely citing safety concerns. The winner, artist Ghassane Moutaoukil, has steadfastly denied using AI to generate his illustration of revelers beneath Christmas lights on a wintry Bozeman street. At the same time, local artists claim they could replicate his style using ChatGPT....

1+ day, 20+ hour ago (685+ words) PERRYSBURG " In its strictest sense, artificial intelligence is defined as the capability of computer systems or algorithms to imitate intelligent human behavior, according to the Merriam Webster Dictionary. And intelligent behavior is described as tasks that, when performed by humans, demonstrate cognitive abilities. Those may include playing games, understanding language, diagnosing conditions and locating resources. Shanda Gore addressed the topic at the Nov. 19 meeting of the Perrysburg Area Chamber of Commerce. A Bowling Green State University graduate, she is the founder and president of Mays and Associates, Ltd., a leadership development, strategic planning and culture building consulting firm. She also hosts the podcast PinLeader and has led discussion topics at conferences and workshops. "If you have not used AI or you think you've been using it or just playing around with it, AI is one of the hottest topics in…...

2+ day, 7+ hour ago (149+ words) Georgia Tech and NASA used advanced chromatography and a new computational tool to compare organic compounds in meteorite and terrestrial rock samples. "Determining whether organic molecules in planetary samples originate from biological or nonbiological processes," the authors wrote in their article, "is central to the search for life beyond Earth. Yet, distinguishing these origins is challenging due to overlapping chemical signatures and limited access to pristine extraterrestrial materials." (1) "In contrast to traditional biomarker-based approaches," the authors wrote, "LifeTracer analyzes untargeted chemical signatures to infer molecular origin with high accuracy. It enables scalable, unbiased biosignature detection and offers a powerful tool for interpreting complex organic mixtures returned by current and future planetary missions" (1). Read More on Similar Topics: Laser Thermal Desorption and GC'GC for Harsh Environment and Planetary Mass Spectrometry Read More on Similar Topics published by our sister publication, Spectroscopy:…...

2+ day, 9+ hour ago (319+ words) AWS has launched Flexible Training Plans (FTPs) for inference endpoints in Amazon SageMaker AI, its AI and machine learning service, to offer customers guaranteed GPU capacity for planned evaluations and production peaks. Typically, enterprises use SageMaker AI inference endpoints, which are managed systems, to deploy trained machine learning models in the cloud and run predictions at scale on new data. For instance, a global retail enterprise can use SageMaker inference endpoints to power its personalized-recommendation engine: As millions of customers browse products across different regions, the endpoints automatically scale compute and storage to handle traffic spikes without the company needing to manage servers or capacity planning. According to AWS, FTPs for inferencing workloads aim to address this by enabling enterprises to reserve instance types and required GPUs, since automatic scaling up doesn't guarantee instant GPU availability due to high demand…...

3+ day, 7+ hour ago (301+ words) A new House bill is seeking to establish a unified federal strategy for artificial intelligence and modernize the government's research and regulatory approach to the technology." The office of Rep. Jen Kiggans, R-Va., who introduced the AI for America Act, said Tuesday that the bill is intended to strengthen U.S. leadership amid accelerating global competition in AI, particularly with China. "Artificial intelligence will define the next century of economic growth, national security, and global competitiveness," Kiggans said. The introduction of the AI for America Act reflects the U.S. government's push to bring greater coherence, coordination and accountability to federal AI efforts. At the 2026 Artificial Intelligence Summit on March 19, practitioners from across government and industry will share how they're aligning AI innovation with mission needs. Reserve your seat now to join this relevant AI-centered event. The proposed legislation directs the Office of Science…...

3+ day, 16+ hour ago (206+ words) There are already divorce applications that mention an "emotional bond" with AI There are already divorce applications that mention an "emotional bond with AI" as the cause, reflecting a significant cultural and technological shift. For the moment, this phenomenon has not triggered the overall divorce rate, but there is an increase in cases where AI is explicitly mentioned as part of the problem. The survey data shows that people still find it easier to open up emotionally to other humans than to a chatbot, although 24% say they sometimes find it easier to express themselves to an AI. On the other hand, 20% admit to having used AI for erotic purposes, and 40% consider that having an intimate or romantic conversation with a chatbot is equivalent to infidelity. Therefore, 55% would not reveal to their partner their emotional or sexual interaction with an AI,…...

3+ day, 23+ hour ago (516+ words) Updated on: November 26, 2025 / 11:18 AM EST / CBS/News Service of Florida "As Florida lawmakers dig into issues involving artificial intelligence, state Insurance Commissioner Michael Yaworsky wants to make sure regulators can properly oversee AI use by insurance companies. "Responsible AI governance is crucial," Yaworsky told the Senate Banking and Insurance Committee last week. "I'm not an opponent of AI, but I do think it needs to be responsibly deployed. There are some companies that I think are doing it in a much more responsible manner than others." Rep. Hillary Cassel, R-Dania Beach, filed a bill (HB 527) on Monday that seeks to ensure humans make decisions about denials of insurance claims. Cassel's bill is identical to a measure (SB 202) filed in October by Sen. Jennifer Bradley, R-Fleming Island. Yaworsky did not go that far last week when outlining his ideas to the…...

4+ day, 15+ hour ago (157+ words) Support PBS News for Giving Tuesday and you'll receive early access to our newest video podcast. Your donation is tripled through December 2, increasing your impact. This year's senior class is the first to have spent nearly its entire college career in the age of generative AI, a type of artificial intelligence that can create new content, like text and images. As the technology improves, it's harder to distinguish from human work, and it's shaking academia to its core. Special correspondent Fred de Sam Lazaro reports for our series, Rethinking College. Fred de Sam Lazaro Fred de Sam Lazaro Fred de Sam Lazaro is director of the Under-Told Stories Project at the University of St. Thomas in Minnesota, a program that combines international journalism and teaching. He has served with the PBS NewsHour since 1985 and is a regular contributor and substitute…...

5+ day, 3+ hour ago (159+ words) Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ... "Simple adaptive method" makes optical quantum processors behave like neural networks. To test the design, they encoded simple 4 " 4 images'patterns of horizontal or vertical bars. Measurements at each stage matched theoretical predictions. In the full experimental setup, the QCNN achieved a classification accuracy above 92 percent, consistent with numerical simulations. This demonstrates the potential of the adaptive approach. The research was funded by the following institutions: European Union"s Horizon Europe research and Innovation Program Under EPIQUE Project, ERC Advanced Grant QU-BOSS (QUantum Advantage via Nonlinear BOSon Sampling, ICSC'Centro Nazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, Funded by European Union'NextGenerationEU, EPSRC Quantum Advantage Pathfinder Research Program Within the UK"s…...

5+ day, 5+ hour ago (375+ words) Earthquake forecasting tools powered by AI can forecast the risk of aftershocks seconds after the initial tremor, a new study from Edinburgh University suggests. Researchers from the University of Edinburgh, British Geological Survey and University of Padua created the AI-driven forecasting tools which were developed by training machine learning models on earthquake data. The data came from parts of the world that regularly experience earthquakes such as California, New Zealand, Italy, Japan and Greece. The team analysed the AI models" ability to produce forecasts of how many aftershocks will take place within the 24 hours following earthquakes of magnitude 4 or higher. They compared the performance of their AI models with the most widely used forecasting system, known as the Epidemic-Type Aftershock Sequence (ETAS) model, which is used in Italy, New Zealand and the US. While both model types show similar performance…...