Taylor Sheridan's Landman faces lengthy wait as season 3 production timeline revealed Man in trouble for using robot vacuum to record wife's affair, friends with benefits lease up & hall pass wins Country music star Riley Green keeps cooking with new single'That's Just Me' from upcoming album Internet reacts to Georgia schoolteacher's groundbreaking invention, the'fart corner' Rockstar finally releases statement regarding'Grand Theft Auto VI' leaks, leaving fans even more confused Let's look back on the best moments (read: crashes) from the World Humanoid Robot Games Liam Neeson and Zachary Levi lead ex-CIA heist in Tehran in new trailer for'The Fix' First preview drops for'Brothers' as'True Detective' stars reunite on Apple TV this September'Serial defecator' on the loose in Tulsa, last seen wearing a thong, mask with a hole cut out & a shower cap Ella Langley's unstoppable 2026 run continues with viral Instagram posts from her sold-out tour'Lioness' latest episode leaves fans reeling after brutal and violent execution scene Josh Brolin confirms Sicario 3 'is happening' as Taylor Sheridan franchise prepares to return Trump warns US will respond'hard' to Iranian attacks after Jordan strike Iran attack response: Trump warns US will'hit them hard' Trump strikes HUGE Venezuela oil deal: 'Multigenerational prosperity' FIRESTORM: 'Tech elite' accuses Vance of bringing back DEI Trump warns of'communism' in the Democratic Party Trump warns of'communism' in the Democratic Party The'Nicotine' singer performed the tribute at Auburn following the country music legend's death at 80 'Fox & Friends' looks back at favorite memories with Dolly Parton Steve Doocy joins'Fox and Friends' to reflect on the life, career and charitable work of music icon Dolly Parton following her death at age 80. They discuss her music catalog, her Imagination Library literacy program and her Dollywood theme park in Tennessee. Ella Langley performed an awesome tribute to music icon Dolly Parton. The legendary singer and country music icon passed away at the age of 80 last week, and Parton's death sent shockwaves through the country. She was universally respected and a beloved artist who left behind a legacy that will be near impossible to replicate.

Josh Brolin confirms Sicario 3 'is happening' as Taylor Sheridan franchise prepares to return Writer joining Lioness writers' room signals Taylor Sheridan's CIA series could have more coming An open marriage somehow leads to regret, woman hooks best friend up with sister's ex & dumb divorce excuses Austin Abrams fights to escape a 60-ton sperm whale in new'Whalefall' trailer with Josh Brolin Ella Langley's'Choosin' Texas' spends 18 weeks at number one on the Billboard Hot 100; sets new record Jill Wagner reveals the month-long boot camp'Lioness' cast endures for Taylor Sheridan's show Ella Langley's Texas photo dump sends country music fans into a frenzy online on Instagram Taylor Sheridan's'Lioness' keeps fans hooked as latest episode raises the stakes in a big way'The Simpsons' shows a teaser for new movie featuring hilarious baseball-chasing scene Brad Pitt battles the Alaskan wilderness with his combat dog in'Heart of the Beast' new trailer Innocent wrestling with sister of wife's best friend reveals cheating with a twist, McDonald's wedding & signs Lioness star Michael Kelly calls Taylor Sheridan'one of the greatest storytellers' in entertainment New York City taxpayers could pay twice under Mamdani's grocery plan US announces'Economic D-Day' against Iran Steve Doocy explores the US Air Force Academy's elite military training Dr. Marc Siegel analyzes new study suggesting GLP-1 may slow down aging Humanoid robot beats Usain Bolt's 100m dash record at Beijing games Bessent SENDS WARNING to Iran: 'We are entering the ENDGAME' South Carolina Sen. Darline Graham makes her case ahead of GOP runoff Psychologist raises questions after Lindsay Clancy's courtroom breakdowns Lindsay Clancy could be released in'not so many years' Ella Langley discusses releasing a series of singles and building momentum toward her sophomore album during coverage tied to the 2026 iHeartRadio Music Awards held March 26, 2026, at the Dolby Theatre in Los Angeles. Koe Wetzel had an awesome moment with a young fan during a recent show. Wetzel has turned into one of the biggest stars in the country music world, and his star only shines brighter with every passing day. He also recently released his new song Jaded with Ella Langley, and as expected, it's a monster hit with fans. Koe Wetzel speaks at the Omni Nashville Hotel on March 20, 2026 in Nashville, Tennessee.

Flock Has a Powerful New AI Tool for Police. Flock's surveillance cameras have already sparked outrage. WIRED reconstructed its next-generation AI system, already in use by some police, to confirm it goes much further than tracking license plates. Vehicle surveillance giant Flock Safety has told the public for years that its technology "cannot recognize, identify, or track individuals." It has now built a system that does both, an artificial intelligence tool for police that can identify drivers and track vehicles by their patterns of movement alone, WIRED has learned. Drawing on a network of cameras that logs the movements of drivers in more than 6,000 communities, the tool can pick out potential witnesses by how often their cars pass through a neighborhood, or surface a driver's "associates" from the cameras they pass together. Because the system also reaches police case files, 911 dispatch logs, and commercial identity records, those plates can be turned into names, home addresses, and relatives.

Christopher Nolan's'The Odyssey' uncorks a Trojan Horse popcorn bucket that stores the goods in its crotch New trailer released for upcoming post-apocalyptic thriller'The Dog Stars' with Jacob Elordi'House of the Dragon' Season 3 premiere runtime and details revealed for hit HBO series You're not getting away with watering your grass with your'crank' out on Sheriff Grady Judd's watch Taylor Sheridan's hit CIA/military series'Lioness' gets official season release date on Paramount+ It wasn't on his shopping list, but a man managed to accidentally shoot himself in the groin at Walmart anyway Smokin' Charley Hull gets off to a fast start at U.S. Women's Open before fading, Stephen A weight loss & MEAT Waka Flocka Flame picks Trump over Kamala Harris, compares choice to Kobe Bryant vs. LeBron James Model Penny Lane's work on the SI Swimsuit runway last weekend still has the internet talking Velma from'Scooby-Doo' cranks up the heat, Nick Saban dragged on Capitol Hill & the great car dealership scam Steve Doocy explores Bentonville, Arkansas, the'Mountain Bike Capital of the World' Steve Doocy traces Walmart's origins in Arkansas Pompeo warns Iranian regime will'not go away' after US helicopter downed House approves resolution to limit Trump's war powers Trump's reveals new details on Iran drone attack downing US Apache helicopter The'Nicotine' singer's comments in Lexington drew massive support from fans praising her boldness Ella Langley discusses releasing a series of singles and building momentum toward her sophomore album during coverage tied to the 2026 iHeartRadio Music Awards held March 26, 2026, at the Dolby Theatre in Los Angeles. Country music sensation Ella Langley continues to prove she's one of the best people in entertainment. Langley has been on an unstoppable role lately, and she's built herself a massive following in the genre she's dominating. It's not just the music fans love. It's the fact that the Nicotine singer comes off as incredibly authentic, and is very open about who she is as a person.

Fox News' Stephanie Bennett reports the latest on the unidentified drones from London. The Pentagon unveiled a new counter-drone strategy after a spate of incursions near U.S. bases prompted concerns over a lack of an action plan for the increasing threat of unmanned aerial vehicles. Though much of the strategy remains classified, Defense Secretary Lloyd Austin will implement a new counter-drone office within the Pentagon – Joint Counter-Small UAS Office – and a new Warfighter Senior Integration Group, according to a new memo. The Pentagon will also begin work on a second Replicator initiative, but it will be up to the incoming Trump administration to decide whether to fund this plan. The first Replicator initiative worked to field inexpensive, dispensable drones to thwart drone attacks by adversarial groups across the Middle East and elsewhere.

A retired, senior Pentagon official has confirmed that UFO'mother ships' were spotted'releasing swarms of smaller craft' -- adding further mystery to the still-unexplained intrusions over multiple US military bases. His statements come amid the release of 50 pages of Air Force records related to provocative'drone' incursions, that one general calls'Close Encounters at Langley.' For at least 17 nights last December, swarms of noisy, small UFOs were seen at dusk'moving at rapid speeds' and displaying'flashing red, green, and white lights' penetrating the highly restricted airspace above Langley Air Force Base in Virginia. Senior ex-Pentagon security official Chris Mellon told DailyMail.com'Two of the notable aspects,' he said, 'are the fact our drone signal-jamming devices have proven ineffective and these craft are making no effort to remain concealed.'

The literature on concept formation has demonstrated that humans are capable of learning concepts incrementally, with a variety of attribute types, and in both supervised and unsupervised settings. Many models of concept formation focus on a subset of these characteristics, but none account for all of them. In this paper, we present TRESTLE, an incremental account of probabilistic concept formation in structured domains that unifies prior concept learning models. TRESTLE works by creating a hierarchical categorization tree that can be used to predict missing attribute values and cluster sets of examples into conceptually meaningful groups. It updates its knowledge by partially matching novel structures and sorting them into its categorization tree. Finally, the system supports mixed-data representations, including nominal, numeric, relational, and component attributes. We evaluate TRESTLE's performance on a supervised learning task and an unsupervised clustering task. For both tasks, we compare it to a nonincremental model and to human participants. We find that this new categorization model is competitive with the nonincremental approach and more closely approximates human behavior on both tasks. These results serve as an initial demonstration of TRESTLE's capabilities and show that, by taking key characteristics of human learning into account, it can better model behavior than approaches that ignore them.

Cobweb, a human-like category learning system, differs from most cognitive science models in incrementally constructing hierarchically organized tree-like structures guided by the category utility measure. Prior studies have shown that Cobweb can capture psychological effects such as basic-level, typicality, and fan effects. However, a broader evaluation of Cobweb as a model of human categorization remains lacking. The current study addresses this gap. It establishes Cobweb's alignment with classical human category learning effects. It also explores Cobweb's flexibility to exhibit both exemplar- and prototype-like learning within a single framework. These findings set the stage for further research on Cobweb as a robust model of human category learning.

This work networks can exceed human capabilities in certain tasks aims to combine computer vision principles with this prior such as object detection and classification (He, Zhang, Ren, & approach and explore the idea of incorporating new visual information Sun, 2016). However, such networks cannot handle continual incrementally without erasing previously learned learning of new tasks without forgetting previously learned data. Our results demonstrate that Cobweb/4V does not exhibit data. Catastrophic forgetting is a fundamental challenge for catastrophic forgetting, only limited interference effects artificial neural networks (McCloskey & Cohen, 1989). This when compared to neural networks. We find that Cobweb/4V phenomenon happens when the network is trained on multiple is competitive with neural network approaches while having tasks sequentially, and to meet the objective of the new minimal forgetting effects. It is also more data efficient task, it changes the weights learned to perform the previous and achieves asymptotic performance with fewer examples.

The paper surveys automated scientific discovery, from equation discovery and symbolic regression to autonomous discovery systems and agents. It discusses the individual approaches from a "big picture" perspective and in context, but also discusses open issues and recent topics like the various roles of deep neural networks in this area, aiding in the discovery of human-interpretable knowledge. Further, we will present closed-loop scientific discovery systems, starting with the pioneering work on the Adam system up to current efforts in fields from material science to astronomy. Finally, we will elaborate on autonomy from a machine learning perspective, but also in analogy to the autonomy levels in autonomous driving. The maximal level, level five, is defined to require no human intervention at all in the production of scientific knowledge. Achieving this is one step towards solving the Nobel Turing Grand Challenge to develop AI Scientists: AI systems capable of making Nobel-quality scientific discoveries highly autonomously at a level comparable, and possibly superior, to the best human scientists by 2050.