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Category: robotics/AI – Page 531

Kepler asserts that its general-purpose Forerunner series showcases advanced capabilities in body movements, precise hand control, and sophisticated visual perception. This positions it as a formidable competitor to Tesla’s Optimus in the realm of humanoid robotics.

The firm claims that its humanoid robot aims to enhance “productivity with cutting-edge technology, hastening the arrival of a ‘three-day work week.’ The shift will enable humans to dedicate more time to meaningful endeavors, such as space exploration,” said Debo Hu, co-founder of the firm, in a statement.

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From surveillance to defense to AI/ML virtualization, and it’s more compact and energy efficient. Oh and let’s not forget the medical imaging applications. I just wonder how long until it’s put into effect.

A front-end lens, or meta-imager, created at Vanderbilt University can potentially replace traditional imaging optics in machine-vision applications, producing images at higher speed and using less power.

The nanostructuring of lens material into a meta-imager filter reduces the typically thick optical lens and enables front-end processing that encodes information more efficiently. The imagers are designed to work in concert with a digital backend to offload computationally expensive operations into high-speed and low-power optics. The images that are produced have potentially wide applications in , , and government and defense industries.

Mechanical engineering professor Jason Valentine, deputy director of the Vanderbilt Institute of Nanoscale Science and Engineering, and colleagues’ proof-of-concept meta-imager is described in a paper published in Nature Nanotechnology.

Continue reading “Nanostructured flat lens uses machine learning to ‘see’ more clearly, while using less power” | >

Generative AI provoked a lot of discussion last year around images, text and video, but it may soon affect the gaming industry as well. Square Enix said it plans to be “aggressively applying” AI and other cutting-edge tech in 2024 to “create new forms of content,” according to president Takashi Kiryu’s New Year’s letter.

“Artificial intelligence (AI) and its potential implications had for some time largely been subjects of academic debate,” he said. “However, the introduction of ChatGPT, which allows anyone to easily produce writing or translations or to engage in text-based dialogue, sparked the rapid spread of generative AIs. I believe that generative AI has the potential not only to reshape what we create, but also to fundamentally change the processes by which we create, including programming.”

The company will start by using it to improve productivity in development and assist in marketing. “In the longer term, we hope to leverage those technologies to create new forms of content for consumers, as we believe that technological innovation represents business opportunities,” Kiryu added. Square Enix also plans to build more immersive AR and VR experiences, including “new forms of content that fuse the real world and virtual worlds.”

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How can artificial intelligence help to improve the accuracy of lung cancer screening among people at high risk of developing the disease? Read to find out.

Lung cancers, the vast majority of which are caused by cigarette smoking, are the leading cause of cancer-related deaths in the United States. Lung cancer kills more people than cancers of the breast, prostate, and colon combined. By the time lung cancer is diagnosed, the disease has often already spread outside the lung. Therefore, researchers have sought to develop methods to screen for lung cancer in high-risk populations before symptoms appear. They are evaluating whether the integration of artificial intelligence – the use of computer programs or algorithms that use data to make decisions or predictions – could improve the accuracy and speed of diagnosis, aid clinical decision-making, and lead to better health outcomes.

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Introducing AutoRT, SARA-RT and RT-Trajectory to improve real-world robot data collection, speed, and generalization.

Picture a future in which a simple request to your personal helper robot — “tidy the house” or “cook us a delicious, healthy meal” — is all it takes to get those jobs done. These tasks, straightforward for humans, require a high-level understanding of the world for robots.

Today we’re announcing a suite of advances in robotics research that bring us a step closer to this future. AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments.

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