Missouri coach explains why he tried to'embarrass' rival Kansas in final seconds Yankees, sports world remember 25th anniversary of 9/11 with'God Bless America' and moments of silence Tua Tagovailoa ruled out of Falcons' opener with oblique injury, Cooper Rush steps in against Steelers WWE's Roxanne Perez unconcerned about being without Judgment Day stablemates for massive Triplemania 34 match Taylor Townsend wins US Open doubles final, praises black'representation' Astros bullpen ERA of 4.11 could be the deciding factor as Tampa Bay Rays protect their postseason lead Kansas renews Border War rivalry with Missouri by calling Tigers'evil,' invoking slavery imagery Sophie Cunningham addresses perception that she is the'sex symbol' of the WNBA WWE's Corey Graves points to these AAA stars who may impress fans at Triplemania 34 Young people are'embracing' political violence in numbers we haven't seen before: Jonathan Turley Tom Shillue: This is'so stupid,' no one wants to do that Greg Gutfeld: This is what I'd do if I ran the GOP midterm convention OutKick Sports OutKick's Craig Carton reveals the real reason Nike stock is in the tank: 'They're failing miserably' OutKick's Craig Carton charts how the brand's partnerships and slogan changes eroded the company's standing with consumers It wasn't a fluke, this was a total failure on all fronts. In case you've been living under a rock these past few days, Nike has had a rough time this week. Between the unveiling of their universally reviled Specter Edition NBA jerseys to their stock taking a nosedive, the company that was once seen as unsinkable is starting to take on water. Things have gotten so bad for Nike that they're set to be booted from the S&P 100, a sign that the company is trending in the wrong direction. OutKick's Craig Carton, a self-admitted Nike man, thinks he knows what the issue is, and if you've been paying attention, it shouldn't come as a shock to you.

Jon Stewart leads defense of Jimmy Kimmel as late night hosts unite to mock Trump's'censorship' Trump just humiliated Harry and Meghan with two brutal words... but even more embarrassing is the reason they're having to stay silent: MAUREEN CALLAHAN Disturbing full story of singer D4vd's relationship with girl, 13, found dismembered in his Tesla... as creepy messages, songs and links to stars are exposed Utter chaos breaks out backstage at The View over Jimmy Kimmel: Hosts at war and staff in fear... as network bosses impose strict new'rule' The strain shows on Jimmy Kimmel as he emerges for first time after show's shock cancellation Queen Camilla appears to'pull rank' as Kate chats animatedly with Melania during State visit - and ushers Princess back towards William Seth Meyers responds to Jimmy Kimmel cancellation with dose of mockery for Trump: 'A great president, an even better golfer' President of America's biggest university forced to step down over'transgender indoctrination' Starbucks responds after barista refuses to write'Charlie Kirk' on customer's cup due to'policy' Millions under tsunami threat as fallout from monster 7.8 earthquake threatens US Woman, 84, horrified after stomach-churning discovery in Morrisons juice: 'Dead snake' slithered out of carton Two elderly women were left horrified and upset when they found a'dead snake' in a carton of fruit juice--and refuse to believe supermarket bosses' claim that the foot-long gelatinous entity is merely a string of mould. Betty Richards, 84, bought a carton of apple and mango juice from the Armthorpe branch of Morrisons as a treat for her best friend of twenty years, Julie Bircumshaw, also 84. The BBC reports that Ms Bircumshaw noticed some'bits of black' around the opening of the 1L carton, but after tasting the juice, thought it was fine to drink. When Ms Richards popped over to see her friend at home in Doncaster a week later, she was told about the discolouration around the nozzle. She was concerned, and decided to take a closer look at the £1.35 carton--which was almost empty.

The trajectory of artificial intelligence (AI) has been one of relentless acceleration, evolving from rudimentary rule-based systems to sophisticated, autonomous agents capable of complex reasoning and interaction. This whitepaper chronicles this remarkable journey, charting the key technological milestones--advancements in prompting, training methodologies, hardware capabilities, and architectural innovations--that have converged to create the AI agents of today. We argue that these agents, exemplified by systems like OpenAI's ChatGPT with plugins and xAI's Grok, represent a culminating phase in AI development, potentially constituting the "final generation" of intelligence as we currently conceive it. We explore the capabilities and underlying technologies of these agents, grounded in practical examples, while also examining the profound societal implications and the unprecedented pace of progress that suggests intelligence is now doubling approximately every six months. The paper concludes by underscoring the critical need for wisdom and foresight in navigating the opportunities and challenges presented by this powerful new era of intelligence.

Loading of shipping containers for dairy products often includes a press-fit task, which involves manually stacking milk cartons in a container without using pallets or packaging. Automating this task with a mobile manipulator can reduce worker strain, and also enhance the efficiency and safety of the container loading process. This paper proposes an approach called Adaptive Compliant Control with Integrated Failure Recovery (ACCIFR), which enables a mobile manipulator to reliably perform the press-fit task. We base the approach on a demonstration learning-based compliant control framework, such that we integrate a monitoring and failure recovery mechanism for successful task execution. Concretely, we monitor the execution through distance and force feedback, detect collisions while the robot is performing the press-fit task, and use wrench measurements to classify the direction of collision; this information informs the subsequent recovery process. We evaluate the method on a miniature container setup, considering variations in the (i) starting position of the end effector, (ii) goal configuration, and (iii) object grasping position. The results demonstrate that the proposed approach outperforms the baseline demonstration-based learning framework regarding adaptability to environmental variations and the ability to recover from collision failures, making it a promising solution for practical press-fit applications.

Dynamic Movement Primitives (DMP) have found remarkable applicability and success in various robotic tasks, which can be mainly attributed to their generalization, modulation and robustness properties. Nevertheless, the spatial generalization of DMP can be problematic in some cases, leading to excessive or unnatural spatial scaling. Moreover, incorporating intermediate points (via-points) to adjust the DMP trajectory, is not adequately addressed. In this work we propose an improved online spatial generalization, that remedies the shortcomings of the classical DMP generalization, and moreover allows the incorporation of dynamic via-points. This is achieved by designing an online adaptation scheme for the DMP weights which is proved to minimize the distance from the demonstrated acceleration profile to retain the shape of the demonstration, subject to dynamic via-point and initial/final state constraints. Extensive comparative simulations with the classical and other DMP variants are conducted, while experimental results validate the applicability and efficacy of the proposed method.

The world is a gigantic landfill! Everyday tons of waste are generated from various households, hospitals, industries, construction and demolition sites and more. While today we have numerous ways to get rid of the accumulated waste, it still ends up affecting the safety and sustainability of the ecological system. Therefore, the best alternative is to reuse and recycle as much waste as possible. And offering an extra pair of hand in this are waste sorting and recycling robots.

Across many industries, innovators are looking at machine learning as a solution for bringing their organization to the next level of productivity. Many organizations have already adopted machine learning and artificial intelligence solutions and are reaping the rewards. In my experience working with retail companies, those that have implemented AI solutions have an overall greater awareness of business practices and have been more successful at making important and difficult decisions effectively. To operate successfully, retailers encounter and must make thousands of decisions every day, from creating a new product to its placement in a store and, ultimately, to protection of revenue through asset monitoring. There's a simple way to make sense of retail and consumer goods companies' data and enjoy the best business rewards, and it starts with understanding AI solutions. It can be used to help retailers make more effective business decisions.

We all know that it's important to recycle, but that's sometimes easier said than done. Luckily, Clarke the robot is here to help. Admit it -- you're not entirely sure how to recycle. With so many different materials in play, how are you supposed to know what needs to be thrown into a landfill and what can be reused? Humans might not be the best at the Three R's (reduce, reuse, and recycle, of course), but another "R" is here to save us -- a robot, affectionately named Clarke.

I was always going to end up in robotics – this was probably clear to my horrified parents from the moment their five-year-old appeared in the kitchen having skinned the fur off an electric dog. I promise you this is not as ghoulish as it sounds. It's just that the fur and cute eyes got in the way of what was going on underneath. How did this thing walk? What made it segue from walking to sitting to barking?

Clutter is a special challenge for robots, but new Carnegie Mellon University software is helping robots cope, whether they're beating a path across the Moon or grabbing a milk jug from the back of the refrigerator. The software not only helped a robot deal efficiently with clutter, it surprisingly revealed the robot's creativity in solving problems. "It was exploiting sort of superhuman capabilities," Siddhartha Srinivasa, associate professor of robotics, said of his lab's two-armed mobile robot, the Home Exploring Robot Butler, or HERB. "The robot's wrist has a 270-degree range, which led to behaviors we didn't expect. In one case, the robot used the crook of its arm to cradle an object to be moved.