We introduce Causal Operator with Adaptive Solver Transformer (COAST), a novel neural operator learning method that leverages a causal language model (CLM) framework to dynamically adapt time steps. Our method predicts both the evolution of a system and its optimal time step, intelligently balancing computational efficiency and accuracy. We find that COAST generates variable step sizes that correlate with the underlying system intrinsicities, both within and across dynamical systems. Within a single trajectory, smaller steps are taken in regions of high complexity, while larger steps are employed in simpler regions. Across different systems, more complex dynamics receive more granular time steps. Benchmarked on diverse systems with varied dynamics, COAST consistently outperforms state-of-the-art methods, achieving superior performance in both efficiency and accuracy. This work underscores the potential of CLM-based intelligent adaptive solvers for scalable operator learning of dynamical systems.

Man's evolutionary quest has taken us from the bottom of the ocean to deep space, now science and technology join forces to expand beyond our physical realm and explore new frontiers of communication. Elon Musk's Neuralink app, a new kind of brain interface being developed, one of several, would allow you to control your iOS device, keyboard, and mouse, just by thinking about it. When you stop to think about it, even the telephone was invented to meet the needs of long-distance communication. Both the application and the implications are numerous. Consider the endless possibilities of increasing the brain's channels of communication. These methods could be employed to treat a wide range of neurological disorders, restore sensory or movement functions, and without a doubt change the way we interact with one another.

Amid Taiwan's annual Han Kuang war games, a Chinese Unmanned Aerial Vehicle (UAV) was spotted off the island's east coast Monday. The UAV, a reconnaissance and strike vehicle, is dubbed the "Twin-Tailed Scorpion." The "Twin-Tailed Scorpion" reportedly flew from the East China Sea area through the Miyako Strait between the Japanese islands of Okinawa and Miyakojima, a statement issued by the Japanese Defense Ministry said. After entering the Pacific Ocean, the UAV turned southwest and flew past the Sakishima Islands. The UAV was then seen heading northwest toward the Bashi Channel and northeastern Taiwan, its last reported position was off the coast of Taiwan's Hualien County, deep inside the eastern sector of Taiwan's ADIZ, reported Taiwan News.

A Chipotle Mexican Grill sign is seen in the Park Slope neighborhood on April 29, 2021, in the Brooklyn borough of New York City. A robot will soon be making your tortilla chips at Chipotle. Addressing his company's partnership with Chipotle, Miso Robotics CEO Michael Bell told "Cavuto: Coast to Coast," Friday the tortilla chip-making robot will combat the labor shortage in the U.S. and suggested that "automation is the solution." "The restaurant industry had a labor gap before the pandemic… the pandemic just accelerated this big gap between the number of jobs and the available labor," he remarked. Bell stressed that the labor shortage isn't "going away soon," and mentioned that there is a big demand to automate tasks in restaurants.

Yesterday afternoon, I rode an autonomous shuttle down a short section of Broadway in the heart of Times Square, and it was easily the most boring part of my day. I'm not saying that because my life is particularly exciting, either. The trip was boring because everything inside the Coast Autonomous P-1 worked exactly the way it was supposed to: The shuttle crawled up to a barricade on 47th Street, paused for a bit, and scooted back in the opposite direction toward 48th. In this case, the vehicle wasn't completely autonomous -- Coast CTO Pierre Lefevre manually started each leg of a trip with an Xbox Elite controller -- but the P-1 navigated its surroundings all own its own. That short trip was one of many small-scale tests the company has put on over the years, all of which speak to the commercial viability of tiny, driverless buses.