AI is driving surging demand for data centers, but they require a lot of land and huge amounts of energy. Now, some think the solution could be in space.
Category: robotics/AI – Page 22
FSD 14.1.3 — Level 5 Autonomy is CLOSE
Join me on an exciting drive through the charming streets of Los Gatos, California, testing Tesla’s Full Self-Driving (FSD) Supervised version 14.1.3! In this real-world demo, we navigate from downtown Los Gatos to popular spots like Starbucks for a quick coffee run, McDonald’s drive-thru, the Tesla Los Gatos showroom, the Apple Store at Los Gatos Village, and finally, the scenic Vasona Lake County Park for some relaxation by the water.
Watch how FSD handles suburban traffic, intersections, pedestrian zones, and winding park roads with impressive precision—all while I supervise from the driver’s seat. Key highlights: Smooth lane changes and speed adjustments in busy areas.
Accurate navigation to chain stores and tech hubs.
Handling of roundabouts and park entrances.
Real-time commentary on FSD’s improvements in version 14.1.3, including better object detection and decision-making.
If you’re a Tesla owner, EV enthusiast, or just curious about autonomous driving tech, this video shows FSD’s capabilities in everyday scenarios. Don’t forget to like, subscribe, and hit the bell for more Tesla FSD tests, software updates, and Bay Area drives!
Timestamps:
0:20 Intro.
7:10 Mc Donalds.
10:24 Parking at apple.
12:52 Parking at charger.
14:35 Park U turn.
17:15 Parking at Tesla.
20:33 Review.
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Quantum simulations that once needed supercomputers now run on laptops
UB physicists have upgraded an old quantum shortcut, allowing ordinary laptops to solve problems that once needed supercomputers. A team at the University at Buffalo has made it possible to simulate complex quantum systems without needing a supercomputer. By expanding the truncated Wigner approximation, they’ve created an accessible, efficient way to model real-world quantum behavior. Their method translates dense equations into a ready-to-use format that runs on ordinary computers. It could transform how physicists explore quantum phenomena.
Picture diving deep into the quantum realm, where unimaginably small particles can exist and interact in more than a trillion possible ways at the same time.
It’s as complex as it sounds. To understand these mind-bending systems and their countless configurations, physicists usually turn to powerful supercomputers or artificial intelligence for help.
Ultra-compact semiconductor could power next-gen AI and 6G chips
A research team, led by Professor Heein Yoon in the Department of Electrical Engineering at UNIST has unveiled an ultra-small hybrid low-dropout regulator (LDO) that promises to advance power management in advanced semiconductor devices. This innovative chip not only stabilizes voltage more effectively, but also filters out noise—all while taking up less space—opening new doors for high-performance system-on-chips (SoCs) used in AI, 6G communications, and beyond.
The new LDO combines analog and digital circuit strengths in a hybrid design, ensuring stable power delivery even during sudden changes in current demand—like when launching a game on your smartphone—and effectively blocking unwanted noise from the power supply.
What sets this development apart is its use of a cutting-edge digital-to-analog transfer (D2A-TF) method and a local ground generator (LGG), which work together to deliver exceptional voltage stability and noise suppression. In tests, it kept voltage ripple to just 54 millivolts during rapid 99 mA current swings and managed to restore the voltage to its proper level in just 667 nanoseconds. Plus, it achieved a power supply rejection ratio (PSRR) of −53.7 dB at 10 kHz with a 100 mA load, meaning it can effectively filter out nearly all noise at that frequency.
Next-gen coil interface for non-contact peripheral nerve stimulation could improve treatment for chronic pain
A research team has successfully developed a next-generation coil interface capable of efficiently and safely stimulating peripheral nerves. This breakthrough is significant in that it greatly enhances the efficiency and feasibility of non-contact nerve stimulation technology, enabling stimulation through magnetic fields without the need for direct contact between electrodes and nerves.
The findings are published in the journal IEEE Transactions on Neural Systems and Rehabilitation Engineering. The team was led by Professor Sanghoon Lee from the Department of Robotics and Mechatronics Engineering at DGIST.
In recent years, there has been a growing demand for non-invasive (non-surgical, non-contact) approaches to treat peripheral nerve dysfunctions such as chronic pain, peripheral neuropathy, carpal tunnel syndrome, and facial nerve paralysis.
AI nutrition study finds ‘five everyday’ may keep the doctor away
In a new study using AI and machine learning, EPFL researchers have found that it’s not only what we eat, but how consistently we eat it that plays a crucial role in gut health.
The gut microbiota is the community of microorganisms, including bacteria, viruses, fungi and other microbes, that lives in our digestive systems—some of these microbes are helpful and others can be harmful.
Many previous studies have shown that what we eat has an impact on our gut microbiota. Healthy diets rich in fruit, vegetables, fiber and nuts are strongly associated with increased microbial diversity and better stomach health.
Advancing human leukocyte antigen-based cancer immunotherapy: from personalized to broad-spectrum strategies for genetically heterogeneous populations
Human leukocyte antigen (HLA)-based immunotherapeutics, such as tebentafusp-tebn and afamitresgene autoleucel, have expanded the treatment options for HLA-A*02-positive patients with rare solid tumors such as uveal melanoma, synovial sarcoma, and myxoid liposarcoma. Unfortunately, many patients of European, Latino/Hispanic, African, Asian, and Native American ancestry who carry non-HLA-A*02 alleles remain largely ineligible for most current HLA-based immunotherapies. This comprehensive review introduces HLA allotype-driven cancer health disparities (HACHD) as an emerging research focus, and examines how past and current HLA-targeted immunotherapeutic strategies may have inadvertently contributed to cancer health disparities. We discuss several preclinical and clinical strategies, including the incorporation of artificial intelligence (AI), to address HACHD.
New AI model for drug design brings more physics to bear in predictions
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound.
Take, for example, AlphaFold, the AI system that predicts the complex ways in which amino acid chains will fold into 3D protein structures. The system sometimes suggests “unphysical” folds—configurations that are implausible based on the laws of physics —especially when asked to predict the folds for chains that are significantly different from its training data.
To limit this type of unphysical result in the realm of drug design, Anima Anandkumar, Bren Professor of Computing and Mathematical Sciences at Caltech, and her colleagues have introduced a new machine learning model called NucleusDiff, which incorporates a simple physical idea into its training, greatly improving the algorithm’s performance.