Months after signing a letter calling for the pause of AI development, Elon Musk started a new company designed to create it.
The company on Wednesday announced Astro for Business, a version of its household robot that it’s framing as a crime prevention tool for retailers, manufacturers and a range of other industries, in spaces that are up to 5,000 square feet. Astro for Business is launching only in the U.S. to start, and it comes at a steep price point of $2,349.99.
Amazon unveiled Astro, its first home robot, in September 2021. The squat, three-wheeled device can roll around the house to answer Alexa voice commands, and it has a 42-inch periscope camera that allows it to see over countertops or other obstacles to check if a stove has been left on, among other tasks.
Two years on from its debut, the original Astro, which costs $1,599, is available in limited quantities and on an invite-only basis.
A new biologic “patch” that is activated by a person’s natural motion could be the key to fixing herniated disks in people’s backs, according to researchers at the Perelman School of Medicine at the University of Pennsylvania and the CMC VA Medical Center (CMCVAMC).
Combining years of work from many different projects, the “tension-activated repair patches” (TARPs) provide controlled release of an anti-inflammatory molecule called anakinra from microcapsules over time, which helped disks in a large animal model regain the tension they need to reverse herniation and prevent further degeneration. This pre-clinical research is detailed in a paper published in Science Translational Medicine.
“Currently there is no curative treatment for disk herniation, and the best thing out there is just like sticking a plain rubber plug into a hole in a tire. It will stay for a while but it won’t make a great seal,” said co-senior author Robert Mauck, Ph.D., a professor in Orthopaedic Surgery and director of the McKay Laboratory for Orthopaedic Surgery Research at Penn and research career scientist and co-director of the Translational Musculoskeletal Research Center at the CMCVAMC.
Black holes are regions in space where the gravitational pull is so strong that nothing can escape them, not even light. These fascinating regions have been the focus of countless studies, yet some of the physics underlying their formation is not yet fully understood.
Black holes are formed in what is known as gravitational collapse. This is essentially the contraction of a cosmological object, prompted by its own gravity drawing matter inward (i.e., toward the object’s center of gravity).
Whether or not such a collapsing object forms a black hole depends on the specific properties of the object. In some cases, an object may be very close to the threshold, having a hard time deciding whether or not to form a black hole. This type of collapse results in so-called critical phenomena.
Metamaterials are products of engineering wizardry. They are made from everyday polymers, ceramics, and metals. And when constructed precisely at the microscale, in intricate architectures, these ordinary materials can take on extraordinary properties.
With the help of computer simulations, engineers can play with any combination of microstructures to see how certain materials can transform, for instance, into sound-focusing acoustic lenses or lightweight, bulletproof films.
But simulations can only take a design so far. To know for sure whether a metamaterial will stand up to expectation, physically testing them is a must. But there’s been no reliable way to push and pull on metamaterials at the microscale, and to know how they will respond, without contacting and physically damaging the structures in the process.
A new method of creating laser pulses, more than 1,000 times as powerful as those currently in existence, has been proposed by scientists in the UK and South Korea.
The scientists have used computer simulations in joint research to demonstrate a new way of compressing light to increase its intensity sufficiently to extract particles from vacuum and study the nature of matter. To achieve this the three groups have come together to produce a very special type of mirror—one that not only reflects pulses of light but compresses them in time by a factor of more than two hundred times, with further compression possible.
The groups from the University of Strathclyde, UNIST and GIST propose a simple idea—to use the gradient in the density of plasma, which is fully ionized matter, to cause photons to “bunch,” analogous to the way a stretched-out group of cars bunch up as they encounter a steep hill. This could revolutionize the next generation of lasers to enable their powers to increase by more than one million times from what is achievable now.
An artificial sensory system that is able to recognize fine textures—such as twill, corduroy and wool—with a high resolution, similar to a human finger, is reported in a Nature Communications paper. The findings may help improve the subtle tactile sensation abilities of robots and human limb prosthetics and could be applied to virtual reality in the future, the authors suggest.
Humans can gently slide a finger on the surface of an object and identify it by capturing both static pressure and high-frequency vibrations. Previous approaches to create artificial tactile sensors for sensing physical stimuli, such as pressure, have been limited in their ability to identify real-world objects upon touch, or they rely on multiple sensors. Creating a real-time artificial sensory system with high spatiotemporal resolution and sensitivity has been challenging.
Chuan Fei Guo and colleagues present a flexible slip sensor that mimics the features of a human fingerprint to enable the system to recognize small features on surface textures when touching or sliding the sensor across the surface. The authors integrated the sensor onto a prosthetic human hand and added machine learning to the system.
Researchers can fabricate gold foams that feature small and large pores with specific sizes.
Six archival Chandra observations are matched with eight sets of radio data and studied in the context of the outflow method to measure and study the spin properties of |$\rm {Sgr ~A^{*}}$|. Three radio and X-ray data sets obtained simultaneously, or partially simultaneously, are identified as preferred for the purpose of measuring the spin properties of |$\rm {Sgr ~A^{*}}$|. Similar results are obtained with other data sets. Results obtained with the preferred data sets are combined and indicate weighted mean values of the spin function of |$F = 0.62 \pm 0.10$| and dimensionless spin angular momentum of |$a_* = 0.90 \pm 0.06$|
A robotic AI-Chemist@USTC makes useful Oxygen generation catalyst with Martian meteorites. (Image by AI-Chemist Group at USTC)
Immigration and living on Mars have long been depicted in science fiction works. But before dream turns into reality, there is a hurdle man has to overcome — the lack of essential chemicals such as oxygen for long-term survival on the planet. However, hope looms up thanks to recent discovery of water activity on Mars. Scientists are now exploring the possibility of decomposing water to produce oxygen through electrochemical water oxidation driven by solar power with the help of oxygen evolution reaction (OER) catalysts. The challenge is to find a way to synthesize these catalysts in situ using materials on Mars, instead of transporting them from the Earth, which is of high cost.
To tackle this problem, a team led by Prof. LUO Yi, Prof. JIANG Jun, and Prof. SHANG Weiwei from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), recently made it possible to synthesize and optimize OER catalysts automatically from Martian meteorites with their robotic artificial intelligence (AI)-chemist.
