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NVIDIA Now Working On Its Own Robotaxis

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Because why not?

NVIDIA has actually been involved in the robotaxi world for years, providing different hardware needs to various automakers who have been automating more and more driving. For example, I just noticed that four years ago I wrote about AutoX robotaxis using NVIDIA Drive. NVIDIA also put out a blog post highlighting that “Cruise, Zoox, DiDi, Oxbotica, Pony.ai and AutoX [were] developing level 4/5 systems on NVIDIA’s autonomous vehicle platform.” It also acquired DeepMap at that time. “DeepMap expected to extend NVIDIA mapping products, scale worldwide map operations and expand NVIDIA’s full-self driving expertise,” the company announced in 2021.

Merging Humans And Machines With Soundwaves: The Future of Bio AI #simplilearn

In this video, we explore one of the most fascinating frontiers of technology — merging humans and machines through soundwaves. Discover how scientists are using acoustic signals to transmit data, control implants, and even connect the human brain to AI systems — all without wires. From ultrasonic communication to sound-based neural interfaces, this is where biology meets next-gen tech. Watch till the end to see how this breakthrough could redefine human evolution!

Astrocyte-derived vesicles could link stress to intestinal inflammation

Inflammatory bowel diseases (IBDs), such as Crohn’s disease and ulcerative colitis, are chronic and autoimmune conditions characterized by the inflammation of the intestinal tract. This inflammation can cause nausea or vomiting, diarrhea, abdominal pain and cramping, fatigue, fever, and various other debilitating symptoms.

While the underpinnings of IBDs have been widely investigated, the factors that can contribute to its emergence have not yet been clearly elucidated. Past findings suggest that the symptoms of these diseases are often exacerbated by psychological and .

Researchers at Universidad de los Andes and the Center of Interventional Medicine for Precision and Advanced Cellular Therapy (IMPACT) in Chile recently carried out a study aimed at shedding new light on the neurobiological mechanisms via which stress could worsen IBDs. Their findings, published in Molecular Psychiatry, hint at the existence of a brain-to-gut communication pathway that is mediated by small communication vehicles known as small extracellular vesicles (sEVs), which are released by astrocytes.

Google claims its latest quantum algorithm can outperform supercomputers on a real-world task

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that solved a complex physics problem thousands of times faster than the world’s most powerful classical supercomputers. If verified, this would be one of the first demonstrations of practical quantum advantage, in which a quantum computer solves a real-world problem faster and more accurately than a classical computer.

In a new paper published in the journal Nature, the researchers provided details on how their algorithm, called Quantum Echoes, measured the complex behavior of particles in highly entangled . These are systems in which multiple particles are linked so that they share the same fate even when physically separated. If you measure the property of one particle, you instantly know something about the others. This linkage makes the overall system so complex that it is difficult to model on ordinary computers.

The Quantum Echoes algorithm uses a concept called an Out-of-Time-Order Correlator (OTOC), which measures how quickly information spreads and scrambles in a quantum system. The researchers chose this specific measurement because, as they state in the paper, “OTOCs have quantum interference effects that endow them with a high sensitivity to details of the quantum dynamics and, for OTOC, also high levels of classical simulation complexity. As such, OTOCs are viable candidates for realizing practical quantum advantage.”

Electrohydrodynamics pump and machine learning enable portable high-performance excimer laser

According to a recent study published in APL Photonics, a research team led by Prof. Liang Xu from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed an ultra-compact excimer laser roughly the size of a thermos bottle.

Open-source software reveals complete 3D architecture of brain cells

The neurons in our brain that underlie thought connect to each other using tiny branch-like structures on their surfaces known as dendritic spines. Now scientists at Columbia’s Zuckerman Institute and their colleagues have come up with powerful new software driven by artificial intelligence that can automatically map these dendritic spines in pictures of neurons, a tool the researchers are making freely available.

A paper detailing the work, “A deep learning pipeline for accurate and automated restoration, segmentation, and quantification of ,” is published in Cell Reports Methods.

“Dendritic spines are usually the first site that are implicated in such as Alzheimer’s and Parkinson’s,” said Sergio Bernal-Garcia, a graduate student in the lab of Franck Polleux, Ph.D., and lead author of the paper. “So understanding more about them is vitally important.”

Open letter calls for prohibition on superintelligent AI, highlighting growing mainstream concern

An open letter released Wednesday has called for a ban on the development of artificial intelligence systems considered to be “superintelligent” until there is broad scientific consensus that such technologies can be created both safely and in a manner the public supports.

The statement, issued by the nonprofit Future of Life Institute, has been signed by more than 700 individuals, including Nobel laureates, technology industry veterans, policymakers, artists, and public figures such as Prince Harry and Meghan Markle, the Duke and Duchess of Sussex.

The letter reflects deep and accelerating concerns over projects undertaken by technology giants like Google, OpenAI, and Meta Platforms that are seeking to build artificial intelligence capable of outperforming humans on virtually every cognitive task. According to the letter, such ambitions have raised fears about unemployment due to automation, loss of human control and dignity, national security risks, and the possibility of far-reaching social or existential harms.

The Neuroscience Behind Writing: Handwriting vs. Typing—Who Wins the Battle?

Writing is a complex phenomenon that requires diverse skills: perceiving the pen and paper, moving the writing instrument, and directing the movement through thought. Using a pen involves paying attention to motor aspects such as drawing letters legibly, controlling the pressure of the tip on the paper, following lines and spaces on the page, and coordinating thought, action, and vision. This multisensory integration underlies memory abilities. Moreover, handwriting involves a wide variety of supporting materials, including pens, pencils, or chalk on a blackboard, all of which offer different experiences and create new neural activations and skills.

Despite sharing similar central goals and processes, handwriting and typing differ significantly in terms of the tools used, spatiotemporal dimensions, motor programming, and fine motor development. Compared with handwriting, which requires more time and attention to learn, typing can be considered simpler and faster, as it enables the production of a more easily readable and homogeneous product in less time. However, focused attention and a longer processing time improve memory retention, and once automatic control of the graphic gesture is achieved, minimal cognitive effort is required. Moreover, the specific movements memorized when learning to write contribute to the visual recognition of graphic shapes and letters and secondarily also improve reading ability. Indeed, since the ability to recognize letters is widely recognized in the literature as the first phase of reading, improving it through writing may effectively influence how children read.

The comparison between handwriting and typing reveals important differences in their neural and cognitive impacts. Handwriting activates a broader network of brain regions involved in motor, sensory, and cognitive processing, contributing to deeper learning, enhanced memory retention, and more effective engagement with written material. Typing, while more efficient and automated, engages fewer neural circuits, resulting in more passive cognitive engagement. These findings suggest that despite the advantages of typing in terms of speed and convenience, handwriting remains an important tool for learning and memory retention, particularly in educational contexts.

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