Among the myriad of projects that challenge traditional norms and offer innovative approaches to gaming and game development, hand gesture-based systems undeniably stand in a league of their own, a fact that’s recently been reaffirmed by Programmer and ML enthusiast Ayaan Khan.

Over on LinkedIn, Ayaan presented an impressive setup he devised during his high school years that enables one to play racing games by simply waving fingers in the air and making different hand gestures in front of a webcam. Inspired by the idea of combining technology with gaming, the system allows users to steer virtual cars by detecting which fingers are displayed to the camera, offering a truly unique gaming experience.

In the demo shared by Ayaan, he showed how the system can be utilized to play EA’s 2017 racing game, Need for Speed Payback. While the developer refrained from revealing the inner workings of his system, he hinted that it relies primarily on Python, OpenCV, and MediaPipe, providing a clue for aspiring developers interested in replicating the setup. You can check out Ayaan’s original post by clicking this link.

Revision bots, design-your-own-course companions, even mock interview coaches: Experts say that edtech is facing disproportionate disruption from generative AI, and interestingly, from older, non-tech learners in India.

Humanoid robots are robots that resemble and act like humans. Typically engineered to imitate authentic human expressions, interactions and movements, these robots are often outfitted with an array of cameras, sensors and, more recently, AI and machine learning technologies.

While more humanoid robots are being introduced into the world and making a positive impact in industries like logistics, manufacturing, healthcare and hospitality, their use is still limited, and development costs are high.

That said, the sector is expected to grow. The humanoid robot market is valued at $1.8 billion in 2023, according to research firm MarketsandMarkets, and is predicted to increase to more than $13 billion over the next five years. Fueling that growth and demand will be advanced humanoid robots with greater AI capabilities and human-like features that can take on more duties in the service industry, education and healthcare.

Quantum chaos focuses on the quantum manifestations of classical chaos. A characteristic of classical chaos is the exponential sensitivity of the dynamics with respect to infinitesimal changes in the initial conditions. Thus, to classify classical dynamics it is sufficient to follow phase space trajectories starting infinitesimally close to each other and to determine the evolution of their distances with respect to each other with time. Because of the uncertainty relation, this is no longer possible in the corresponding quantum system. One important aspect of quantum chaos is the understanding of features of the classical dynamics in terms of the fluctuation properties in the energy spectra of closed quantum systems or of the fluctuations exhibited by the scattering matrix elements describing open ones. The fluctuation properties are predicted to be universal, that is, to be the same for systems belonging to the same universality class and exhibiting the same chaotic behavior in the corresponding classical dynamics and to be describable by random matrix theory. Furthermore, random-matrix models that had been developed for the scattering matrix associated with compound-nuclear reactions have been shown to be applicable to quantum-chaotic scattering processes. A second important aspect within the field of quantum chaos concerns the semiclassical approach. In this context, one of the most important achievements was the periodic orbit theory pioneered by Gutzwiller, which led to understanding the impact of the classical dynamics on the properties of the quantum system in terms of purely classical quantities. The focus of research within the field of quantum chaos has been extended to relativistic quantum systems and to many-body quantum systems with focus on random matrix theory and the semiclassical approach. In distinction to single-particle systems, many-body systems like atomic nuclei do not have a classical analogue. In recent years different measures of chaos and models have been developed. Here, a prominent model is the Sachdev-Ye-Kitaev model which serves as a paradigm for the study of quantum chaos in strongly interacting many-body systems. The school is aimed at PhD students, post-docs and outstanding master students and the first part will provide a survey of single-and many-body quantum chaos and applications based on random-matrix theory and the semiclassical approach. The second part of the school will focus on current aspects of research in the context of many-body quantum chaos. There is no registration fee and limited funds are available for travel and local expenses. Organizers: Hilda Cerdeira (IFT-UNESP, Brazil) Barbara Dietz-Pilatus (Institute for Basic Science (IBS), Republic of Korea)

I found this on NewsBreak: Mystery illness ‘slowly chewing’ on brain of healthy dad, 42, began with 1 symptom.

Jason Cassibry, Ph.D., explains his team’s research and experiments in the areas of fusion, warp drive and even a mention of antigravity propulsion. A mention is also made as to what happened to Ning Li (more on that in a subsequent video). This was a presentation to the Huntsville Alabama L5 Society, a chapter of the National Space Society. There is a lot of technical discussion with the audience who were almost all engineers and scientist.

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Questions to inspire discussion.

What do rental car companies need to improve?
—Rental car companies need to improve their education and communication with customers about electric vehicles to prevent incidents like getting trapped due to running out of charge.

Peter Atkins discusses the ideas in his book ‘Conjuring the Universe’ with fellow science writer Jim Baggott. They discuss how fundamental the various constants of the universe truly are.

https://global.oup.com/academic/produ…

Professor Peter Atkins is a fellow of Lincoln College in the University of Oxford and the author of about seventy books for students and a general audience. His texts are market leaders around the globe. A frequent lecturer in the United States and throughout the world, he has held visiting professorships in France, Israel, Japan, China, and New Zealand. He was the founding chairman of the Committee on Chemistry Education of the International Union of Pure and Applied Chemistry and was a member of IUPAC’s Physical and Biophysical Chemistry Division. Peter was the 2016 recipient of the American Chemical Society’s Grady-Stack Award for science journalism.

Jim Baggott is a freelance science writer. He was a lecturer in chemistry at the University of Reading but left to work with Shell International Petroleum Company and then as an independent business consultant and trainer. His many books include Mass: The quest to understand matter from Greek atoms to quantum fields; Higgs: The Invention and Discovery of the ‘God Particle’; and The Quantum Story: A History in 40 Moments.

© Oxford University Press

Voice assistants have already made significant strides in areas such as smart home integration, educational settings and business applications. However, their current capabilities are limited by a lack of robust reasoning and planning abilities.

In fact, just 7.8% of consumers believe voice technology is as smart and reliable as a real person today, according to the PYMNTS Intelligence report “ How Consumers Want to Live in the Voice Economy.”

Scientists have created a method to produce 3D full-color holographic images using smartphone screens instead of lasers. This innovative technique, with additional advancements, holds the potential for augmented or virtual reality displays.

Whether augmented and virtual reality displays are being used for gaming, education, or other applications, incorporating 3D displays can create a more realistic and interactive user experience.

“Although holography techniques can create a very real-looking 3D representation of objects, traditional approaches aren’t practical because they rely on laser sources,” said research team leader Ryoichi Horisaki, from The University of Tokyo in Japan. “Lasers emit coherent light that is easy to control, but they make the system complex, expensive, and potentially harmful to the eyes.”