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Category: computing – Page 392

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http://www.ted.com Stephen Wolfram, creator of Mathematica, talks about his quest to make all knowledge computational — able to be searched, processed and manipulated. His new search engine, Wolfram Alpha, has no lesser goal than to model and explain the physics underlying the universe.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the “Sixth Sense” wearable tech, and “Lost” producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Watch a highlight reel of the Top 10 TEDTalks at http://www.ted.com/index.php/talks/top10

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“We are aiming to provide capabilities in the tens to hundreds of milliwatts range, depending on the use case,” Makhijani said.

Compared to the first–gen chip GrAI One, the third–gen GrAI VIP is slightly physically smaller at 7.6 × 7.6 mm, but the company has skipped a process node and migrated to TSMC 12 nm. The chip has slightly fewer neuron cores, 144 compared to 196, but each core is bigger. The result is a jump from 200,000 neuron cores (250,000 parameters) to around 18 million neurons for a total of 48 million parameters. On–chip memory has jumped from 4 MB to 36 MB.

An M.2 hardware development kit featuring GrAI VIP is available now, shipping with GrAI Matter’s GrAI Flow software stack and model zoo for image classification, object detection, and image segmentation.

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Realistic and complex models of brain cells, developed at Cedars-Sinai with support from our scientists and our #openscience data, could help answer questions a… See more.

Cedars-Sinai investigators have created bio-realistic and complex computer models of individual brain cells—in unparalleled quantity.

Their research, published today in the peer-reviewed journal Cell Reports, details how these models could one day answer questions about neurological disorders—and even human intellect—that aren’t possible to explore through biological experiments.

“These models capture the shape, timing and speed of the electrical signals that neurons fire in order to communicate with each other, which is considered the basis of brain function,” said Costas Anastassiou, PhD, a research scientist in the Department of Neurosurgery at Cedars-Sinai, and senior author of the study. “This lets us replicate brain activity at the single-cell level.”

The models are the first to combine data sets from different types of laboratory experiments to present a complete picture of the electrical, genetic and biological activity of single neurons. The models can be used to test theories that would require dozens of experiments to examine in the lab, Anastassiou said.

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When Carnegie Mellon University doctoral candidates I-Hsuan Kao and Ryan Muzzio started working together a switch flicked on. Then off.

Working in the Department of Physics’ Lab for Investigating Quantum Materials, Interfaces and Devices (LIQUID) Group, Kao, Muzzio and other research partners were able to show proof of concept that running an through a novel could control the magnetic state of a neighboring without the need of applying an .

The groundbreaking work, which was published in Nature Materials in June and has a related patent pending, has potential applications for data storage in consumer products such as digital cameras, smartphones and laptops.

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Skyrmions are ultra-stable atomic objects first discovered in real materials in 2009, which have more recently also been found also to exist at room temperatures. These unique objects have a number of desirable properties, including a substantially small threshold voltage, nanoscale sizes and easy electrical manipulation.

While these properties could be advantageous for the creation of a wide range of electronics, developing functional all– using skyrmions has so far proved to be very challenging. One possible application for skyrmions is in neuromorphic computing, which entails the creation of artificial structures that resemble those observed in the human brain.

With this in mind, researchers at the Korea Institute of Science and Technology (KIST) have recently investigated the possibility of using skyrmions to replicate mechanisms observed in the human brain. Their paper, published in Nature Electronics, shows that these ultra-stable atomic structures can be used to mimic some behaviors of biological synapses, which are junctions between neurons through which nerve impulses are passed on to different parts of the human brain.

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Researchers at the Georgia Institute of Technology have found a detection method that could revolutionize cancer treatment by showing how cancers metastasize and what stage they are.

Cancer spreads via circulating (CTCs) that travel through the blood to other organs, and they are nearly impossible to track. Now, researchers at the Georgia Institute of Technology have found a detection method that could revolutionize by showing how cancers metastasize and what stage they are. This could lead to earlier and more targeted treatment, beginning with a simple blood test.

When a tumor starts metastasizing, it sheds its cell into the blood. An individual cell often doesn’t survive the bloodstream on its own, but clusters of cells are much more robust and can travel to other organs, effectively pushing the cancer to a metastatic state.

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A component of computer processors that connects different parts of the chip can be exploited by malicious agents who seek to steal secret information from programs running on the computer, MIT researchers have found.

Modern computer processors contain many computing units, called cores, which share the same hardware resources. The on-chip interconnect is the component that enables these cores to communicate with each other. But when programs on multiple cores run simultaneously, there is a chance they can delay one another when they use the interconnect to send data across the chip at the same time.

By monitoring and measuring these delays, a malicious agent could conduct what is known as a “side-channel attack” and reconstruct secret information that is stored in a program, such as a cryptographic key or password.

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Some signed third-party bootloaders for the Unified Extensible Firmware Interface (UEFI) could allow attackers to execute unauthorized code in an early stage of the boot process, before the operating system loads.

Vendor-specific bootloaders used by Windows were found to be vulnerable while the status of almost a dozen others is currently unknown.

Threat actors could exploit the security issue to establish persistence on a target system that cannot be removed by reinstalling the operating system (OS).

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Optics, technologies that leverage the behavior and properties of light, are the basis of many existing technological tools, most notably fiber communication systems that enable long-and short-distance high-speed communication between devices. Optical signals have a high information capacity and can be transmitted across longer distances.

Researchers at California Institute of Technology have recently developed a new device that could help to overcome some of the limitations of existing . This device, introduced in a paper published in Nature Photonics, is a lithium niobate-based device that can switch ultrashort light pulses at an extremely low optical pulse energy of tens of femtojoules.

“Unlike electronics, optics still lacks efficiency in required components for computing and signal processing, which has been a major barrier for unlocking the potentials of optics for ultrafast and efficient computing schemes,” Alireza Marandi, lead researcher for the study, told Phys.org. “In the past few decades, substantial efforts have been dedicated to developing all– that could address this challenge, but most of the energy-efficient designs suffered from slow switching times, mainly because they either used high-Q resonators or carrier-based nonlinearities.”

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