Outperforms dermatologists in detecting melanoma, offering better diagnosis for challenging cases and improving patient care. đ©șđ„ïž
Heinlein, Maron, Hekler et al. evaluate an AI algorithm for detecting melanoma and compare its performance to that of dermatologist on a prospectively collected, external, heterogeneous dataset. The AI exhibits a significant performance advantage, especially in diagnosing challenging cases.
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We break down everything we know about 1X Technologiesâ new humanoid robot designed for homes, the Neo Beta.
Read the CNET Article:
Humanoid Robots Head Home: Meet NEO Beta https://cnet.us/8o7
0:00 Introduction.
0:18 Video Teaser.
0:42 What Makes 1X Different.
1:22 Specs.
1:45 A Robot in Clothing?
2:05 Capabilities.
2:15 1Xâs Previous Robot Eve.
2:49 Whatâs Next?
3:05 Backed by OpenAI
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Using a novel laser method, scientists mimicked the extreme environments of stars and planets, enhancing our understanding of astrophysical phenomena and supporting nuclear fusion research.
Extreme conditions prevail inside stars and planets. The pressure reaches millions of bars, and it can be several million degrees hot. Sophisticated methods make it possible to create such states of matter in the laboratory â albeit only for the blink of an eye and in a tiny volume. So far, this has required the worldâs most powerful lasers, such as the National Ignition Facility (NIF) in California. But there are only a few of these light giants, and the opportunities for experiments are correspondingly rare.
A research team led by the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), together with colleagues from the European XFEL, has now succeeded in creating and observing extreme conditions with a much smaller laser. At the heart of the new technology is a copper wire, finer than a human hair, as the group reports in the journal Nature Communications.
Honesty is the best policy⊠most of the time. Social norms help humans understand when we need to tell the truth and when we shouldnât, to spare someoneâs feelings or avoid harm. But how do these norms apply to robots, which are increasingly working with humans? To understand whether humans can accept robots telling lies, scientists asked almost 500 participants to rate and justify different types of robot deception.
âI wanted to explore an understudied facet of robot ethics, to contribute to our understanding of mistrust towards emerging technologies and their developers,â said Andres Rosero, Ph.D. candidate at George Mason University and lead author of the study in Frontiers in Robotics and AI. âWith the advent of generative AI, I felt it was important to begin examining possible cases in which anthropomorphic design and behavior sets could be utilized to manipulate users.â
The widespread use of artificial intelligence (AI) tools designed to process large amounts of data has increased the need for better performing memory devices. The data storage solutions that could help to meet the computational demands of AI include so-called high-bandwidth memories, technologies that can increase the memory bandwidth of computer processors, speeding up the transfer of data and reducing power consumption.
Currently, flash memories are the most prominent memory solutions capable of storing information when a device is turned off (i.e., non-volatile memories). Despite their widespread use, the speed of most existing flash memories is limited and does not best support the operation of AI.
In recent years, some engineers have thus been trying to develop ultrafast flash memories that could transfer data faster and more efficiently. Two-dimensional (2D) materials have shown promise for fabricating these better performing memory devices.
Scientists have measured the magnetic moment of the muon to unprecedented precision, more than doubling the previous record.
Physicists from the Muon g-2 Collaboration cycled muons, known as âheavy electrons,â in a particle storage ring at Fermilab in the United States to nearly the speed of light. Applying a magnetic field about 30,000 times stronger than Earthâs, the muons precessed like tops around their spin axis due to their own magnetic moment.
As they circled a 7.1-meter diameter storage ring, the muonâs magnetic moment, influenced by virtual particles in the vacuum, interacted with the external magnetic field. By comparing this precession frequency with the cycling frequency around the ring, the collaboration was able to determine the muonâs âanomalous magnetic momentâ to a precision of 0.2 parts per million.
A new study led by researchers at the University of Minnesota Twin Cities is providing new insights into how next-generation electronics, including memory components in computers, break down or degrade over time. Understanding the reasons for degradation could help improve efficiency of data storage solutions.
Studies of gravity variations at Mars have revealed dense, large-scale structures hidden beneath the sediment layers of a lost ocean. The analysis, which combines models and data from multiple missions, also shows that active processes in the Martian mantle may be giving a boost to the largest volcano in the solar system, Olympus Mons. The findings have been presented this week at the Europlanet Science Congress (EPSC) in Berlin by Bart Root of Delft University of Technology (TU Delft).