Trained on 1.5 million whole-slide images from 100,000 patients, a pathology foundation model is shown to improve performance of specialized models in detection of rare cancers.
Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang Nanjing University & Microsoft 2024 https://huggingface.co/papers/2407.
- the vision of autonomic computing…
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Chip design can rapidly and efficiently test for multiple pathogens simultaneously, potentially reducing foodborne illness. Researchers have developed a new method for detecting foodborne pathogens that is faster, cheaper, and more effective than existing methods. Their microfluidic chip uses light to detect multiple types of pathogens simultaneously and is created using 3D printing, making it easy to fabricate in large amounts and modify to target specific pathogens. The researchers hope their technique can improve screening processes and keep contaminated food out of the hands of consumers.
Every so often, a food product is recalled because of some sort of contamination. For consumers of such products, a recall can trigger doubt in the safety and reliability of what they eat and drink. In many cases, a recall will come too late to keep some people from getting ill.
In spite of the food industry’s efforts to fight pathogens, products are still contaminated and people still get sick. Much of the problem stems from the tools available to screen for harmful pathogens, which are often not effective enough at protecting the public.
Implementing error correction in a quantum computer requires putting together a lot of different things. Of course, you want to start with good physical qubits that have as low a physical error rate that you can achieve. You want to add in an error correction algorithm, like the surface code, color code, q-LDPC, or others that can be implemented in your architecture, and you need a fast real time error decoder that can look at the circuit output and very quickly determine what the error is so it can be corrected. The error decoder portion doesn’t get as much attention in the media as the other things, but it is a very critical portion of the solution. Riverlane is concentrating on providing products for this with a series of solutions they name Deltaflow which consists of both a classical ASIC chip along with software. The Deltaflow solution consists of a powerful error decoding layer for identifying errors and sending back corrective instructions, a universal interface that communicates with the computer;s control system, and a orchestration layer for coordinating activities.
Riverlane has released its Deltaflow Error Correction Stack Roadmap that show yearly updates to the technology to support an increase in the number of QuOps (error free Quantum Operations) by 10X every year. We reported last year on a chip called DD1 that is part of their Deltaflow 1 solution that is capable of supporting 1,000 QuOps using a surface code error correction algorithm. And now, Riverlane is defining solutions that will achieve 10,000 QuOps with Deltaflow 2 later this year, 100,000 QuOps with Deltaflow 3 in 2025, and 1,000,000 QuOps, also called MegaQuops in 2026, with their Deltaflow Mega solution.
One characteristic that Riverlane is emphasizing in these designs is to perform the decoding in real time in order to keep the latencies low. Although it is fine for an academic paper to send the ancilla data off to a classical computer and have it determine the error, it might take milliseconds for the operation to complete. That won’t cut it in a production environment running real jobs. With their Deltaflow chips, these operations can be performed at megahertz rates and Riverlane has implemented techniques such as a streaming, sliding window, and parallized decoding approaches to increase the throughput of the decoder chips as much as possible. In future chips they will be implementing “fast logic” capabilities for Clifford gates using approaches including lattice surgery and transversal CZ gates.
For the first time, scientists have discovered that a small region of our brain shuts down to take microsecond-long naps while we’re awake. What’s more, these same areas ‘flicker’ awake while we’re asleep. These new findings could offer pivotal insights into neurodevelopmental and neurodegenerative diseases, which are linked to sleep dysregulation.
Scientists from Washington University in St. Louis (WashU) and the University of California Santa Cruz (UCSC) made these findings by accident, noticing how brain waves in one tiny area of the brain shut down suddenly for just milliseconds when we’re awake. And in this same region, those brain waves jolt suddenly, for the same amount of time, when we’re asleep.
“With powerful tools and new computational methods, there’s so much to be gained by challenging our most basic assumptions and revisiting the question of ‘what is a state?’” said Keith Hengen, Assistant Professor of Biology at WashU. “Sleep or wake is the single greatest determinant of your behavior, and then everything else falls out from there. So if we don’t understand what sleep and wake actually are, it seems like we’ve missed the boat.”
PDF | On Jan 1, 2009, Galen Strawson published Realistic Monism: Why Physicalism Entails Panpsychism | Find, read and cite all the research you need on ResearchGate.
Javad Shabani is an Associate Professor of Physics and the Director of the Center of Quantum Information Physics. Shabani seeks to investigate quantum technology, the future of quantum computing, and quantum sensing applications.
Visit the Shabani Lab: http://shabanilab.com/
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Low-energy nuclear fusion reactions are influenced by the migration of neutrons and protons between fusing nuclei and their isospin compositions. Research conducted using high-performance computational models has shown the importance of isospin dynamics and nuclear shapes, particularly in asymmetric, neutron-rich systems, revealing significant implications for nuclear physics and potential energy applications.
Low-Energy Nuclear Fusion
Low-energy nuclear fusion reactions can potentially provide clean energy. In stars, low-energy fusion reactions during the stages of carbon and oxygen burning are critical to stellar evolution. These reactions also offer valuable insights into the exotic processes occurring in the inner crust of neutron stars as they accumulate matter. However, scientists do not fully understand the underlying dynamics governing these reactions.
Optical spectrometers are versatile instruments that can produce light and measure its properties over specific portions of the electromagnetic spectrum. These instruments can have various possible applications; for instance, aiding the diagnosis of medical conditions, the analysis of biological systems, and the characterization of materials.
Conventional spectrometer designs often integrate advanced optical components and complex underlying mechanisms. As a result, they are often bulky and expensive, which significantly limits their use outside of specialized facilities, such as hospitals, laboratories and research institutes.
In recent years, some electronics engineers have thus been trying to develop more compact and affordable optical spectrometers that could be easier to deploy on a large-scale. These devices are typically either developed following the same principle underpinning the functioning of conventional larger spectrometers or via the use of arrayed broadband photodetectors, in conjunction with computational algorithms.
A team of researchers, affiliated with UNIST has made a significant breakthrough in developing an eco-friendly dry electrode manufacturing process for lithium-ion batteries (LIBs). The new process, which does not require the use of harmful solvents, enhances battery performance while promoting sustainability.
The findings of this research have been published in the July 2024 issue of Chemical Engineering Journal.
Led by Professor Kyeong-Min Jeong in the School of Energy and Chemical Engineering at UNIST, the research team has introduced a novel solvent-free dry electrode process using polytetrafluoroethylene (PTFE) as a binder. This innovative approach addresses the challenges associated with traditional wet-electrode manufacturing methods, which often result in non-uniform distribution of binders and conductive materials, leading to performance degradation.
