Elon Musk announces that Tesla will soon be joining the robotic industry. New release of cars in 2022 will be delayed to make way for the humanoid robot development of the company.
The looming shutdown of 3G networks won’t just impact older phones.
With AT&T’s 3G network shutting down next week, and other carriers following suit later this year, a range of products require updates to continue working, including some home alarm systems, medical devices such as fall detectors, and in-car crash notification and roadside assistance systems such as General Motors’ OnStar.
Just as many mobile carriers have urged customers to swap their older 3G iPhones, Android phones, e-readers and other handheld devices for newer models ahead of the shutdown, other businesses are urging customers to upgrade or replace some of the everyday products and services in their homes and cars before they drop connectivity.
Reading the mind of a worm
Posted in chemistry, neuroscience
Circa 2021
It sounds like a party trick: scientists can now look at the brain activity of a tiny worm and tell you which chemical the animal smelled a few seconds before. But the findings of a new study, led by Salk Associate Professor Sreekanth Chalasani, are more than just a novelty; they help the scientists better understand how the brain functions and integrates information.
Circa 2020 Simulation of the human brain.
Computer simulation of the human brain at an individual neuron resolution is an ultimate goal of computational neuroscience. The Japanese flagship supercomputer, K, provides unprecedented computational capability toward this goal. The cerebellum contains 80% of the neurons in the whole brain. Therefore, computer simulation of the human-scale cerebellum will be a challenge for modern supercomputers. In this study, we built a human-scale spiking network model of the cerebellum, composed of 68 billion spiking neurons, on the K computer. As a benchmark, we performed a computer simulation of a cerebellum-dependent eye movement task known as the optokinetic response. We succeeded in reproducing plausible neuronal activity patterns that are observed experimentally in animals. The model was built on dedicated neural network simulation software called MONET (Millefeuille-like Organization NEural neTwork), which calculates layered sheet types of neural networks with parallelization by tile partitioning. To examine the scalability of the MONET simulator, we repeatedly performed simulations while changing the number of compute nodes from 1,024 to 82,944 and measured the computational time. We observed a good weak-scaling property for our cerebellar network model. Using all 82,944 nodes, we succeeded in simulating a human-scale cerebellum for the first time, although the simulation was 578 times slower than the wall clock time. These results suggest that the K computer is already capable of creating a simulation of a human-scale cerebellar model with the aid of the MONET simulator.
Computer simulation of the whole human brain is an ambitious challenge in the field of computational neuroscience and high-performance computing (Izhikevich, 2005; Izhikevich and Edelman, 2008; Amunts et al., 2016). The human brain contains approximately 100 billion neurons. While the cerebral cortex occupies 82% of the brain mass, it contains only 19% (16 billion) of all neurons. The cerebellum, which occupies only 10% of the brain mass, contains 80% (69 billion) of all neurons (Herculano-Houzel, 2009). Thus, we could say that 80% of human-scale whole brain simulation will be accomplished when a human-scale cerebellum is built and simulated on a computer. The human cerebellum plays crucial roles not only in motor control and learning (Ito, 1984, 2000) but also in cognitive tasks (Ito, 2012; Buckner, 2013). In particular, the human cerebellum seems to be involved in human-specific tasks, such as bipedal locomotion, natural language processing, and use of tools (Lieberman, 2014).
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When archaeologists first glimpsed the gilded splendor of King Tutankhamun’s tomb, they never thought that one of the most fascinating artifacts didn’t originate in Egypt — or on Earth.
Tutankhamun ascended the throne at 9 and died at 19. While he may not have reigned long, he did wield an iron dagger that was (in the most literal sense) out of this world. It might have not looked like much compared to all the riches unearthed from his tomb, including a gold death mask that seems to gaze into the hereafter, but the blade of this dagger was actually carved from a meteorite that had previously fallen to Earth. The question is where that dagger was forged.
Never mind the origin of the asteroid that burned up in the atmosphere and sent a meteorite hurtling to Earth. Where the dagger itself came from is debatable, but the type of space rock it was made from might have now revealed something. Researcher Tomoko Arai of the Chiba Institute of Technology in Japan looked up close to find out what type of meteorite was used for such a weapon. She coauthored a study recently published in Meteoritics and Planetary Science.
Toyota is now testing another, much older solution involving hydrogen: burning the stuff directly in an internal-combustion engine.
The automaker last week unveiled a race car whose inline-3 engine is designed to run on pure hydrogen. The race car is still being tested but will enter a round of the 2021 Super Taikyu Series race series in Japan this May.
Toyota plans to go racing with a car whose internal-combustion engine runs on pure hydrogen.
Background: Diuretic-resistant fluid overload is a common problem encountered in hospitalized heart failure (HF) patients, with different interventions proposed to overcome it. Some studies have suggested that combining hypertonic saline with furosemide provided advantages over furosemide alone.
Study design: Systematic review and meta-analysis.
Setting: A comprehensive search of several databases from each database’s inception to March 17, 2020, and reference lists of retrieved articles and review articles in the field to identify additional publications.
The amniotic membrane (Amnio-M) has various applications in regenerative medicine. It acts as a highly biocompatible natural scaffold and as a source of several types of stem cells and potent growth factors. It also serves as an effective nano-reservoir for drug delivery, thanks to its high entrapment properties. Over the past century, the use of the Amnio-M in the clinic has evolved from a simple sheet for topical applications for skin and corneal repair into more advanced forms, such as micronized dehydrated membrane, amniotic cytokine extract, and solubilized powder injections to regenerate muscles, cartilage, and tendons. This review highlights the development of the Amnio-M over the years and the implication of new and emerging nanotechnology to support expanding its use for tissue engineering and clinical applications. Graphical Abstract.