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NVIDIA is set to accelerate its development of humanoid robots in the next year, as Team Green is preparing to release dedicated compact computers under the “Jetson Thor” series.

NVIDIA Is Prepared To Capitalize On The “Humanoid Robotics” Hype As The Industry Is Expected To Grow Up To $195 Billion By 2029

When we talk about how AI is going to evolve from hereon, the one discussion in everyone’s mind is automated robots, primarily since AGI has taken over the industry. Now, in a report by the Financial Times, it seems like the upcoming year will likely mark the next phase of the AI hype, where robotics will play a huge role in driving the markets further on. Team Green is rumored to introduce their next-gen “Jetson Thor” computing lineup in the first half of 2025, likely acting as a catalyst in the development of humanoid robots.

What if humans could truly talk to animals? Thanks to groundbreaking AI technology, researchers recently achieved something extraordinary—a 20-minute interaction with a humpback whale named Twain. But what exactly did this ‘conversation’ reveal? And how could it change the way we understand intelligence on Earth—and beyond? The answers may redefine our relationship with nature.

Super-resolution (SR) technology plays a pivotal role in enhancing the quality of images. SR reconstruction aims to generate high-resolution images from low-resolution ones. Traditional methods often result in blurred or distorted images. Advanced techniques such as sparse representation and deep learning-based methods have shown promising results but still face limitations in terms of noise robustness and computational complexity.

In a recent study published in Sensors, researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences proposed innovative solutions that integrate chaotic mapping into SR image process, significantly enhancing the image quality across various fields.

Researchers innovatively introduced circle chaotic mapping into the dictionary sequence solving process of the K-singular value decomposition (K-SVD) dictionary update . This integration facilitated balanced traversal and simplified the search for global optimal solutions, thereby enhancing the noise robustness of the SR reconstruction.

“I’m really happy to announce the successful accomplishment of the launch of PSLV 60 for the SpaDeX mission,” ISRO Chairman S. Somanath said shortly after the launch in a live webcast. “The rocket has placed the satellites in the right orbit.” If all goes well, the first docking attempt could occur by Jan. 7, he added.

The SpaDeX mission is made up of two satellites, a Target and a Chaser, on a mission to test autonomous docking technology in orbit. But ISRO hopes to do more than just test automatic docking gear.

The mission also includes a secondary payload module with 24 different experiments aboard, including a small robotic arm, which are riding aboard the PSLV rocket’s fourth stage independent of the SpaDeX satellites. Scientists hope to test the arm and other payloads after docking in a payload operations demonstration while also test dual spacecraft control and power transfer between the docked spacecraft.