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Mapping DNA’s hidden switches: A methylation atlas

A new study has been published in Nature Communications, presenting the first comprehensive atlas of allele-specific DNA methylation across 39 primary human cell types. The study was led by Ph.D. student Jonathan Rosenski under the guidance of Prof. Tommy Kaplan from the School of Computer Science and Engineering and Prof. Yuval Dor from the Faculty of Medicine at the Hebrew University of Jerusalem and Hadassah Medical Center.

Using machine learning algorithms and deep whole-genome bisulfite sequencing on freshly isolated and purified cell populations, the study unveils a detailed landscape of genetic and epigenetic regulation that could reshape our understanding of gene expression and disease.

A key focus of the research is the success in identifying differences between the two alleles and, in some cases, demonstrating that these differences result from —meaning that it is not the sequence (genetics) that matters, but rather whether the allele is inherited from the mother or the father. These findings could reshape our understanding of gene expression and disease.

Sharper images: How the brain filters out the noise

A multidisciplinary team of researchers at Georgia Tech has discovered how lateral inhibition helps our brains process visual information, and it could expand our knowledge of sensory perception, leading to applications in neuro-medicine and artificial intelligence.

Lateral inhibition is when certain neurons suppress the activity of their neighboring neurons. Imagine an artist drawing, darkening the lines around the contours, highlighting the boundaries between objects and space, or objects and other objects. Comparably, in the visual system, lateral inhibition sharpens the contrast between different visual stimuli.

“This research is really getting at how our visual system not only highlights important things, but also actively suppresses irrelevant information in the background,” said lead researcher Bilal Haider, associate professor in the Wallace H. Coulter Department of Biomedical Engineering. “That ability to filter out distractions is crucial.”

Tesla Will DOUBLE US Production over the next 2 years

Can Tesla REALLY Build Millions of Optimus Bots? ## Tesla is poised to revolutionize robotics and sustainable energy by leveraging its innovative manufacturing capabilities and vertical integration to produce millions of Optimus bots efficiently and cost-effectively ## Questions to inspire discussion ## Manufacturing and Production.

S low model count strategy benefit their production? A: Tesla s speed of innovation and ability to build millions of robots quickly gives them a key advantage in mass producing and scaling manufacturing for humanoid robots like Optimus. + s factory design strategies support rapid production scaling? A: Tesla## Cost and Efficiency.

S vertical integration impact their cost structure? A: Tesla s AI brain in-house, Tesla can avoid paying high margins to external suppliers like Nvidia for the training portion of the brain. +## Technology and Innovation.

S experience in other industries benefit Optimus development? A: Tesla s own supercomputer, Cortex, and AI training cluster are crucial for developing and training the Optimus bot## Quality and Reliability.

S manufacturing experience contribute to Optimus quality? A: Tesla## Market Strategy.

S focus on vehicle appeal relate to Optimus production? A: Tesla## Scaling and Demand.

Liquid nanofoam innovation designed to protect the brain now tested on internal organs

Researchers at Michigan State University have refined an innovation that has the potential to improve safety, reduce severe injury and increase survival rates in situations ranging from car accidents, sports, law enforcement operations and more.

In 2020 and 2022, Weiyi Lu, an associate professor in MSU’s College of Engineering, developed a liquid nanofoam material made up of tiny holes surrounded by water that has been shown to protect the brain against traumatic injuries when used as a liner in football helmets. Now, MSU engineers and scientists have improved this technology to shield vital as well.

Falls, motor vehicle crashes and other kinds of collisions can cause blunt force and damage to bodily organs that can lead to life-threatening emergencies. These injuries are often the result of intense mechanical force or pressure that doesn’t penetrate the body like a cut, but causes serious damage to the body’s organs, including internal lacerations, ruptures, bleeding and organ failure.

Carbon nanotubes and machine learning: A new way to spot subtle immune cell differences

Early diagnosis is crucial in disease prevention and treatment. Many diseases can be identified not just through physical signs and symptoms but also through changes at the cellular and molecular levels.

When it comes to a majority of chronic conditions, early detection, particularly at the cellular level, gives patients a better chance for successful treatment. Detection of early changes at the cellular level can also dramatically improve cancer outcomes.

It’s against this backdrop that a University of Rhode Island professor and a former Ph.D. graduate student looked at understanding the smallest changes between two similar cells.

Nature-inspired 3D-printing method shoots up faster than bamboo

Charging forward at top speed, a garden snail slimes up 1 millimeter of pavement per second. By this logic, Beckman Institute for Advanced Science and Technology researchers’ new 3D printing process speeds past existing methods—at a snail’s pace.

Researchers in Beckman’s Autonomous Materials Systems Group created “growth printing,” which mimics tree trunks’ outward expansion to print polymer parts quickly and efficiently without the molds and expensive equipment typically associated with 3D printing. Their work appears in the journal Advanced Materials.

“Humans are incredibly talented at making things. Completely new manufacturing processes are hard to find. Growth printing is entirely new, which is thrilling,” said Sameh Tawfick, a professor of mechanical science and engineering at the University of Illinois Urbana-Champaign and project lead.

Developing 3D-printed soft material actuators that can mimic real muscles

Empa researchers are working on producing artificial muscles that can keep up with the real thing. They have now developed a method of producing the soft and elastic yet powerful structures using 3D printing.

One day, these could be used in medicine or robotics—and anywhere else where things need to move at the touch of a button. The work is published in the journal Advanced Materials Technologies.

Artificial muscles don’t just get robots moving: One day, they could support people at work or when walking, or replace injured muscle tissue. However, developing artificial muscles that can compare to the real thing is a major technical challenge.

The Origins of Us: Where do we come from? | Deep Dive AI Podcast

This Deep Dive AI podcast discusses The Origins of Us: Evolutionary Emergence and The Omega Point Cosmology by Alex M. Vikoulov, Book I of The Science and Philosophy of Information eBook/audiobook series. This book serves as both an accessible introduction and a standalone work, exploring some of the most profound questions in science and philosophy.

In this epic work, Vikoulov delves into the origins of life, consciousness, and intelligence, examining topics such as abiogenesis, noogenesis, and the rise of Homo sapiens. The book also presents The Omega Point Cosmology, which envisions a teleological progression of intelligence toward a cosmic destiny. It blends scientific exploration with digital physics, complexity theory, and transcendental metaphysics, offering a novel perspective on the interconnectedness of information, mind, and reality.

*The Origins of Us: Evolutionary Emergence and the Omega Point Cosmology by Alex M. Vikoulov is available as a Kindle eBook and Audible audiobook:

#OriginsOfUs #EvolutionaryEmergence #OmegaPointCosmology #SyntellectHypothesis #DigitalPhysics #HomoSapiens #ScienceOfInformation #PhilosophyOfInformation #AlphaPoint #OmegaPoint #abiogenesis #noogenesis #evolution #consciousness

Domain specific architectures for AI inference


Billions of people may be continuously running AI inference for their waking hours in the near future. Satisfying this demand requires relentless focus on efficiency to reduce the required quantities of two key inputs: energy and capital. The constraints on these inputs in conjunction with the slowing and/or stagnation of both Moore’s Law and Dennard Scaling has left hardware architects no choice but to pursue Domain Specific Architectures (DSAs) — architectures tailored to the task at hand.

The current dominance of GPUs in modern deep learning is largely accidental — it was pure serendipity that the computational workload of graphics and deep learning were similar. Remnants of their graphical heritage still persist in GPU architectures today. What would AI inference hardware look like if it was redesigned carte blanche? By working backwards from the AI inference workload, we can determine some optimal properties these DSAs should have. Furthermore, we will attempt to predict the direction the inference paradigm will shift over time — a crucial exercise for hardware architects and engineers alike to ensure return on investment.

US’ giant robot tanks with 180-mile range to bolster military might

Crewless tanks.


As the newest generation platform within the RIPSAW family of vehicles, the M3 inherits the proven functionality and reliability of its predecessor in a more modular, mission-capable system, enhancing both soldier safety and mission success, according to the company.

The vehicle incorporates the familiar large, open deck area from the RIPSAW M5 robotic vehicle, and 10kW of offload power provides the flexibility to support multiple lethality, RSTA, combat engineering, and logistics payloads. With a powerful hybrid electric drivetrain and novel suspension, the RIPSAW M3 provides unmatched mobility with over 180 miles of range.

The company has completed over 2,500 miles of pre-delivery durability testing and refinement to ensure a rugged, reliable platform.