Deep dive into the nature of consciousness and reality.
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Alex Martinelli writes:
This entry gives an introduction to and how you can use it via Blender to train performant and robust vision models. I provide the code and node-trees for a demonstrative visual classification scenario from the fashion domain. You’ll then be able to generate a technically infinite amount of images for your use-case.
Circa 2010 face_with_colon_three
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.
Continue reading “Computing a theory of everything | Stephen Wolfram” »
“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.
Circa 2021 This gets very close to a master algorithm for math and helps with quantum computing too.
Abstract. Humans carrying the CORD7 (cone-rod dystrophy 7) mutation possess increased verbal IQ and working memory. This autosomal dominant syndrome is caused b.
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.
Continue reading “Cedars-Sinai Creates Computer Models of Brain Cells” »
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 electrical current through a novel two-dimensional material could control the magnetic state of a neighboring magnetic material without the need of applying an external magnetic field.
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.
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–electrical devices 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.
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 tumor cells (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 cancer treatment 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.
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.
