Machine learning revolutionizes distance measurement in astronomy, providing precise estimates for gamma-ray bursts and aiding in cosmic exploration.
The advent of artificial intelligence (AI) has been hailed by many as a societal game-changer, as it opens a universe of possibilities to improve nearly every aspect of our lives.
Astronomers are now using AI, quite literally, to measure the expansion of our universe.
As machine learning models are becoming mainstream tools for molecular and materials research, there is an urgent need to improve the nature, quality, and accessibility of atomistic data. In turn, there are opportunities for a new generation of generally applicable datasets and distillable models.
Some scientists speculate that the strange happenings in this microscopic realm may hold the key to understanding consciousness. But scant evidence has left the majority skeptical.
That includes Christof Koch, Ph.D., meritorious investigator at the Allen Institute. As he wrote in his recent book, Then I am myself the world, “the brain is wet and warm, hardly conducive to subtle quantum interactions.”
But despite his skepticism, Koch is collaborating with scientists at Google Quantum AI and universities worldwide to explore the role quantum mechanics might play in shaping consciousness. A paper published in Entropy offers their novel theory on the links between quantum mechanics and consciousness and details a series of experiments to test it.
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.
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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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.
This new controller provides smooth, continuous torque assistance for walking, running, or climbing…
Safer, more efficient movements for factory workers and astronauts, and improved mobility for people with disabilities could someday become a more widespread reality, thanks to research published June 12 in the journal Nature.
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.
