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Elon Announces MOST Powerful FSD Update Ever
Questions to inspire discussion.
đŁïž Q: What specific improvements can we expect from the new FSD model? A: The new model will see and avoid potholes, drive better in parking lots, find parking spaces more efficiently, figure out pickup and drop-off zones for robotaxis, and handle high chaos situations like crowded areas more effectively.
Safety and Regulations.
đŠ Q: How does FSDâs safety compare to human drivers? A: Teslaâs FSD technology is already much safer than humans with the current Version 4, which has 8 cameras and 10x better parameters than previous versions, and itâs expected to improve further with future updates.
đ Q: How significant are the improvements in the new FSD model? A: While the model has 10x better parameters, the features may not be 10x better, but improvements could be greater than 10x due to hard-to-measure benefits like reduced driving stress and increased safety.
đ« Q: Whatâs limiting FSDâs full potential? A: Regulations currently hold FSD back from reaching its full potential, despite its ability to drive faster and handle high chaos situations more effectively.
Hepatocellular Carcinoma in Mice Affects Neuronal Activity and Glia Cells in the Suprachiasmatic Nucleus
Background: Chronic liver diseases such as hepatic tumors can affect the brain through the liverâbrain axis, leading to neurotransmitter dysregulation and behavioral changes. Cancer patients suffer from fatigue, which can be associated with sleep disturbances. Sleep is regulated via two interlocked mechanisms: homeostatic regulation and the circadian system. In mammals, the hypothalamic suprachiasmatic nucleus (SCN) is the key component of the circadian system. It generates circadian rhythms in physiology and behavior and controls their entrainment to the surrounding light/dark cycle. Neuronâglia interactions are crucial for the functional integrity of the SCN. Under pathological conditions, oxidative stress can compromise these interactions and thus circadian timekeeping and entrainment.
Programmable Soft Materials: A Leap Forward in Energy Absorption and Shape-Shifting Design
Researchers from Lawrence Livermore National Laboratory (LLNL), in collaboration with Harvard University, Caltech, Sandia National Laboratories, and Oregon State University, have unveiled a groundbreaking innovation in materials science: a programmable soft material capable of bending, bouncing, and absorbing energy on demand. This new material, described in the journal Advanced Materials, could pave the way for next-generation protective gear, aerospace structures, and adaptive robotic systems.
Dr. Reynold Panettieri, MD â Novel Therapeutic Approaches To Treat Airways Diseases
Novel Therapeutic Approaches To Treat Airways Diseases â Dr. Reynold Panettieri, MD, â Vice Chancellor for Translational Medicine and Science Director, Rutgers Institute for Translational Medicine and Science / Professor of Medicine, Robert Wood Johnson Medical School.
Anti-radar based on metasurface
In advanced multi-static radar (MSR), multidimensional information from target echo signals is collected by different receivers to enable precise localization using various algorithms. Owing to its efficient target localization and tracking capability, MSR has found wide applications in sensing, military operations, aviation, and aerospace. Multi-static nature of MSR also makes it difficult to counter. Here, we propose an anti-radar methodology based on space-time-coding metasurface (STCM) to counter MSR. By designing the physical characteristics of STCM and developing adaptive and robust electronic countermeasure (ECM) control strategies, we realize a cost-effective, miniaturized and low-complexity ECM system with the flexible controlling capabilities. Under non-cooperative and dynamic ECM scenarios, the proposed method shows exceptional concealment and deception performance. To validate the methodology, we develop a prototype of the STCM-based anti-MSR system and successfully demonstrate its ability to neutralize various MSR technologies. The proposed method is expected to find practical applications in the anti-MSR scenarios.
This study proposes an anti-radar methodology based on space-time-coding metasurface to counter multi-static radar, which enables a cost-effective, miniaturized, and low complexity electronic countermeasure system.
36 billion solar masses: Cosmic Horseshoe galaxy harbors what may be the most massive black hole ever detected
Astronomers have discovered potentially the most massive black hole ever detected. The cosmic behemoth is close to the theoretical upper limit of what is possible in the universe and is 10,000 times heavier than the black hole at the center of our own Milky Way galaxy.
It exists in one of the most massive galaxies ever observedâthe Cosmic Horseshoeâwhich is so big it distorts spacetime and warps the passing light of a background galaxy into a giant horseshoe-shaped Einstein ring.
Such is the enormousness of the ultramassive black holeâs size, it equates to 36 billion solar masses, according to a new paper published today in Monthly Notices of the Royal Astronomical Society.