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Tesla AI5 & AI6 Chips “Compressing Reality”?! What Did Elon See?!

Elon Musk has revealed Tesla’s new AI chips, AI5 and AI6, which will drive the company’s shift towards AI-powered services, enabling significant advancements in Full Self-Driving capabilities and potentially revolutionizing the self-driving car industry and beyond.

## Questions to inspire discussion.

Tesla’s AI Chip Advancements.

🚀 Q: What are the key features of Tesla’s AI5 and AI6 chips? A: Tesla’s AI5 and AI6 chips are inference-first, designed for high-throughput and efficient processing of AI models on devices like autos, Optimus, and Grok voice agents, being 40x faster than previous models.

💻 Q: How do Tesla’s AI5 and AI6 chips compare to previous models? A: Tesla’s AI5 chip is a 40x improvement over AI4, with 500 TOPS expanding to 5,000 TOPS, enabling excellent performance in full self-driving and Optimus humanoid robots.

🧠 Q: What is the significance of softmax in Tesla’s AI5 chip? A: AI5 is designed to run softmax natively in a few steps, unlike AI4 which relies on CPU and runs softmax in 40 steps in emulation mode.

Continue reading “Tesla AI5 & AI6 Chips “Compressing Reality”?! What Did Elon See?!” | >

Clocks created from random events can probe ‘quantumness’ of universe

A newly discovered set of mathematical equations describes how to turn any sequence of random events into a clock, scientists at King’s College London reveal. The paper is published in the journal Physical Review X.

The researchers suggest that these formulas could help to understand how cells in our bodies measure time and to detect the effects of quantum mechanics in the wider world.

Studying these timekeeping processes could have far-reaching implications, helping us to understand proteins with rhythmic movements which malfunction in motor neuron disease or chemical receptors that cells use to detect harmful toxins.

‘More than just an image’: New algorithm can extract hyperspectral info from conventional photos

Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a patent-pending innovation that opens new possibilities of conventional photography for optical spectroscopy and hyperspectral imaging.

Young Kim, Purdue University professor, University Faculty Scholar and Showalter Faculty Scholar, and postdoctoral research associate Semin Kwon of the Weldon School of Biomedical Engineering created an algorithm that recovers detailed spectral information from photographs taken by conventional cameras. The research combines computer vision, color science and optical spectroscopy.

“A photograph is more than just an image; it contains abundant hyperspectral information,” Kim said. “We are one of the pioneering research groups to integrate computational spectrometry and spectroscopic analyses for biomedical and other applications.”

What Is Superposition and Why Is It Important?

Imagine touching the surface of a pond at two different points at the same time. Waves would spread outward from each point, eventually overlapping to form a more complex pattern. This is a superposition of waves. Similarly, in quantum science, objects such as electrons and photons have wavelike properties that can combine and become what is called superposed.

While waves on the surface of a pond are formed by the movement of water, quantum waves are mathematical. They are expressed as equations that describe the probabilities of an object existing in a given state or having a particular property. The equations might provide information on the probability of an electron moving at a specific speed or residing in a certain location. When an electron is in superposition, its different states can be thought of as separate outcomes, each with a particular probability of being observed. An electron might be said to be in a superposition of two different velocities or in two places at once. Understanding superposition may help to advance quantum technology such as quantum computers.

One of the fundamental principles of quantum mechanics, superposition explains how a quantum state can be represented as the sum of two or more states.

Quantum Computing Meets Finance

Eric Ghysels made a name for himself in financial econometrics and time-series analysis. Now he translates financial models into quantum algorithms.

Economist Eric Ghysels has spent most of his career fascinated by a fundamental problem in the financial industry: figuring out how to put a price on any financial asset whose future value depends on market conditions. Ghysels, a professor at the University of North Carolina at Chapel Hill, has now set himself a new problem: studying the impact that quantum computing could have on solving asset pricing, portfolio optimization, and other computationally intensive financial problems.

He admits that nobody knows when quantum computers will have commercially viable applications, but, he says, it’s important to invest now. Physics Magazine spoke with Ghysels to learn why.

Michio Kaku: This could finally solve Einstein’s unfinished equation | Full Interview

“An equation, perhaps no more than one inch long, that would allow us to, quote, ‘Read the mind of God.’”

Up next, Michio Kaku: The Universe in a Nutshell (Full Presentation) ► • Michio Kaku: The Universe in a Nutshell (F…

What if everything we know about computing is on the verge of collapsing? Physicist Michio Kaku explores the next wave that could render traditional tech obsolete: Quantum computing.

Quantum computers, Kaku argues, could unlock the secrets of life itself: and could allow us to finally advance Albert Einstein’s quest for a theory of everything.

00:00:00 Quantum computing and Michio’s book Quantum Supremacy00:01:19 Einstein’s unfinished theory.
00:03:45 String theory as the \.

Shaky cameras can make for sharper shots, new research shows

It doesn’t take an expert photographer to know that the steadier the camera, the sharper the shot. But that conventional wisdom isn’t always true, according to new research led by Brown University engineers.

The researchers showed that with the help of a clever algorithm, a camera in motion can produce higher-resolution images than a camera held completely still. The new image processing technique could enable gigapixel-quality images from run-of-the-mill camera hardware, as well as sharper imaging for scientific or archival photography.

“We all know that when you shake a camera, you get a blurry picture,” said Pedro Felzenszwalb, a professor of engineering and computer science at Brown. “But what we show is that an image captured by a moving camera actually contains additional information that we can use to increase .”

Algorithms that address malicious noise could result in more accurate, dependable quantum computing

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently “noisy.” Rice University computer scientists have developed algorithms that account for noise that is not just random but malicious. Their work could help make quantum computers more accurate and dependable.

Precise tissue deformation measurement technique promises better-fitting sportswear and medical apparel

Soft tissue deformation during body movement has long posed a challenge to achieving optimal garment fit and comfort, particularly in sportswear and functional medical wear.

Researchers at The Hong Kong Polytechnic University (PolyU) have developed a novel anthropometric method that delivers highly to enhance the performance and design of compression-based apparel.

Prof. Joanne YIP, Associate Dean and Professor of the School of Fashion and Textiles at PolyU, and her research team pioneered this anthropometric method using image recognition algorithms to systematically access tissue deformation while minimizing motion-related errors.

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