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AI and crypto combined could add a total of $20 trillion to the global economy by 2030, the report said. Bitwise notes that bitcoin miners have all the resources that AI firms need. Crypto and AI have the potential to intersect in other areas other than mining such as information validation and virtual assistants.

The two industries could add a collective $20 trillion to global GDP by 2030, the report said.

Researchers have used inkjet printing to create a compact multispectral version of a light field camera. The camera, which fits in the palm of the hand, could be useful for many applications including autonomous driving, classification of recycled materials and remote sensing.

Physics-informed AI method could help make CRISPR safer on simons foundation.

Tesla claims that it currently has two Optimus humanoid robots working autonomously in a factory, which would be a first.

If there’s one good thing about this compensation package mess going on right now is that it almost looks like Tesla has a PR department again.

Sure, its raison d’etre is almost entirely about trying to get Elon Musk his $55 billion pay package back, but at least, they are putting some more information about Tesla out there in the process.

What if you could code just by talking out loud? GitHub CEO Thomas Dohmke shows how, thanks to AI, the barrier to entry to coding is rapidly disappearing — and creating software is becoming as simple (and joyful) as building LEGO. In a mind-blowing live demo, he introduces Copilot Workspace: an AI assistant that helps you create code when you speak to it, in any language.

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Continue reading “With AI, Anyone Can Be a Coder Now | Thomas Dohmke | TED” »

Exoskeleton for real world adoption.

A super smart or “learned” controller that leverages data-intensive artificial intelligence (AI) and computer simulations to train portable, robotic exoskeletons.

Continue reading “AI strategy may promise more widespread use of portable, robotic exoskeletons—on Earth and in space” »

Flexible piezoelectric sensors are essential to monitor the motions of both humans and humanoid robots. However, existing designs are either are costly or have limited sensitivity. In a recent study, researchers from Japan tackled these issues by developing a novel piezoelectric composite material made from electrospun polyvinylidene fluoride nanofibers combined with dopamine. Sensors made from this material showed significant performance and stability improvements at a low cost, promising advancements in medicine, healthcare, and robotics.

The world is accelerating rapidly towards the intelligent era—a stage in history marked by increased automation and interconnectivity by leveraging technologies such as artificial intelligence and robotics. As a sometimes-overlooked foundational requirement in this transformation, sensors represent an essential interface between humans, machines, and their environment.

However, now that robots are becoming more agile and wearable electronics are no longer confined to science fiction, traditional silicon-based sensors won’t make the cut in many applications. Thus, flexible sensors, which provide better comfort and higher versatility, have become a very active area of study. Piezoelectric sensors are particularly important in this regard, as they can convert mechanical stress and stretching into an electrical signal. Despite numerous promising approaches, there remains a lack of environmentally sustainable methods for mass-producing flexible, high-performance piezoelectric sensors at a low cost.

As some entities identify new (or at least overlooked) sources to meet the growing demand for rare earth materials, others are looking toward new tools. UK deep-tech company Materials Nexus announced on Tuesday that it has designed a new rare-earth-free permanent magnet with the help of its AI platform. It says the AI-driven discovery and development process was 200 times faster than the resource-intensive manual route, bringing new hope to an electrifying world with a growing appetite for powerful magnets.

With the world moving away from internal combustion engines and gradually embracing electric mobility, the demand for compact, high-power motors is rapidly rising. By far the most popular option in the automotive industry right now is the permanent magnet motor, which powers upward of 80% of modern electric vehicles.

Materials Nexus estimates that demand for permanent magnets will grow tenfold by 2030, in the EV industry alone. And it’s not just electric cars and trucks, either. Permanent magnet motors are in demand for many applications, including robotics, drones, wind turbines and HVAC equipment.

When it comes to quantum computing, that chilling effect on research and development would enormously jeopardize U.S. national security. Our projects received ample funding from defense and intelligence agencies for good reason. Quantum computing may soon become the https://www.cyberdefensemagazine.com/quantum-security-is-nat...at%20allow, codebreaking%20attacks%20against%20traditional%20encryption" rel="noopener" class="">gold standard technology for codebreaking and defending large computer networks against cyberattacks.

Adopting the proposed march-in framework would also have major implications for our future economic stability. While still a nascent technology today, quantum computing’s ability to rapidly process huge volumes of data is set to revolutionize business in the coming decades. It may be the only way to capture the complexity needed for future AI and machine learning in, say, self-driving vehicles. It may enable companies to hone their supply chains and other logistical operations, such as manufacturing, with unprecedented precision. It may also transform finance by allowing portfolio managers to create new, superior investment algorithms and strategies.

Given the technology’s immense potential, it’s no mystery why China committed what is believed to be more than https://www.mckinsey.com/featured-insights/sustainable-inclu…n-quantum” rel=“noopener” class=””>$15 billion in 2022 to develop its quantum computing capacity–more than double the budget for quantum computing of EU countries and eight times what the U.S. government plans to spend.