China’s Robot Dog Breaks Speed Record

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China’s robot dog breaks world record by running 100 meters under 10 seconds

China’s Black Panther 2.0 robot dog has shattered speed records, completing 100 meters in under 10 seconds. The results of a collaboration between Zhejiang University and startup Mirror Me, this quadruped is inspired by the biomechanics of black panthers and jerboas. Its carbon-fiber shins enhance rigidity by 135%, while cheetah-like shoes amplify grip by 200%.

Equipped with shock-absorbing springs at key joints and driven by AI, the robot adapts its gait to various terrains, optimizing speed and fluidity. Weighing 83 kilos, the Black Panther 2.0 now surpasses previous robotic speed records, though it stays slower than top animal sprinters. The team goals to push its agility further, potentially positioning the robot for industrial and practical applications. Read more.

Luma AI’s Ray2 Surpasses Expectations in Motion and Physics

Luma AI’s Ray2 has arrived, retooling the video generation landscape with speed and lifelike motion. With ten times more compute power than its predecessor, Ray1, it pushes the bounds of what’s possible, producing video that feels fluid and realistic—without the slow-motion pitfalls of competitors. For now, the model’s text-to-video capability lets users generate 5-10 second clips in mere seconds, though the high demand might cause transient delays.

Early tests show a formidable range, from dramatic snowstorms to surreal browsing giraffes, all with natural movement. Luma’s roadmap includes adding image-to-video and editing features soon, further enhancing creative potential.

To rejoice, Luma is hosting the Ray2 Awards, offering creators the possibility to win money prizes and earn commissions through an associates program. Read more.

Microsoft’s MatterGen is a brand new AI Reinventing Material Discovery

Microsoft Research introduces MatterGen, an AI model that shifts the paradigm in material design. Unlike traditional methods that painstakingly sift through existing compounds, MatterGen generates entirely recent materials by refining random atomic arrangements, ensuring they meet desired criteria.

Using a diffusion model tailored for three-dimensional crystal structures, the system has outperformed predecessors in each stability and novelty. Its potential spans industries from energy storage to semiconductor development, with applications that would speed up advancements in electric vehicles and renewable energy.

Microsoft’s open-source release of the model allows global collaboration, promising rapid innovation. Nonetheless, the road from simulation to real-world application stays long, with testing and validation required for industrial-scale deployment. Read more.

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