A bigger deal than computational photography?
Samsung and Canon have both announced new camera sensors that are both innovative in very different ways. But how exciting are they?
Rare earth elements are essential for many of our modern day technologies. It’s used in rechargeable batteries, phones, fiber optics, wind turbines, televisions, dvd players and many others.
Some countries control majority of supply and use this as a means to pressure other countries.
Microsoft has announced a new DirectX12 API for Windows which will offer a new way for apps to efficiently encode video using the GPU.
The Video Encode API is available to 3rd party apps and is native to Windows 11, and can efficiently encode video in the H264 and HEVC formats.
Microsoft says it offers a considerable number of configurable parameters are exposed by this API for the user to tweak different aspects of the encoding process and make them fit best for their scenarios such as: custom slices partitioning scheme, active (i.e. CBR, VBR, QBVR) and passive (Absolute/Delta custom QP maps) rate control configuration modes, custom codec encoding tools usage, custom codec block and transform sizes, motion vector precision limit, explicit usage of intra-refresh sessions, dynamic reconfiguration of video stream resolution/rate control/slices partitioning and more.
The future of computing may be analog.
The digital design of our everyday computers is good for reading email and gaming, but today’s problem-solving computers are working with vast amounts of data. The ability to both store and process this information can lead to performance bottlenecks due to the way computers are built.
The next computer revolution might be a new kind of hardware, called processing-in-memory (PIM), an emerging computing paradigm that merges the memory and processing unit and does its computations using the physical properties of the machine—no 1s or 0s needed to do the processing digitally.
Georgia Tech Research Institute (GTRI) scientists announced they’ve made significant advances toward creating a chip that can grow DNA strands in a tightly packed, ultra-dense format for large storage capacity at very low cost.
Police departments all over the world are warming up to electric vehicles and their findings after using EVs on a daily basis are encouraging.
Earlier this year, the Westport Police Department in Connecticut shared some interesting conclusions after buying a Tesla Model 3 in December 2019. They found the EV to be not only cheaper to buy than the Ford Explorer SUV they typically use but also more affordable to modify, maintain, and run, leading to savings of about $6,000 a year.
Continue reading “DNA Data Drives Point Toward Exabyte Scale” »
By Stina Andersson and Ellinor Wanzambi
Researchers have been working on quantum algorithms since physicists first proposed using principles of quantum physics to simulate nature decades. One important component in many quantum algorithms is quantum walks, which are the quantum equivalent of the classical Markov chain, i.e., a random walk without memory. Quantum walks are used in algorithms in areas such as searching, node ranking in networks, and element distinctness.
Consider the graph in Figure 1 and imagine that we randomly want to move between nodes A, B, C, and D in the graph. We can only move between nodes that are connected by an edge, and each edge has an associated probability that decides how likely we are to move to the connected node. This is a random walk. In this article, we are working only with Markov chains, also called the memory-less random walks, meaning that the probabilities are independent of the previous steps. For example, the probabilities of arriving at node A are the same no matter if we got there from node B or node D.
Recent theoretical breakthroughs have settled two long-standing questions about the viability of simulating quantum systems on future quantum computers, overcoming challenges from complexity analyses to enable more advanced algorithms. Featured in two publications, the work by a quantum team at Los Alamos National Laboratory shows that physical properties of quantum systems allow for faster simulation techniques.
“Algorithms based on this work will be needed for the first full-scale demonstration of quantum simulations on quantum computers,” said Rolando Somma, a quantum theorist at Los Alamos and coauthor on the two papers.
As the development of quantum computers increases, “use cases will grow exponentially. We’re at a turning point,” Uttley told Investor’s Business Daily.
Big Developers Of Quantum Computing
Quantum computing is on target to be one of the greatest scientific breakthroughs of the 21st Century. Businesses, governments, institutions and universities have made it a high priority, with billions of dollars invested globally.
Most physicists and philosophers now agree that time is emergent while Digital Presentism denotes: Time emerges from complex qualia computing at the level of observer experiential reality. Time emerges from experiential data, it’s an epiphenomenon of consciousness. From moment to moment, you are co-writing your own story, co-producing your own “participatory reality” — your stream of consciousness is not subject to some kind of deterministic “script.” You are entitled to degrees of freedom. If we are to create high fidelity first-person simulated realities that also may be part of intersubjectivity-based Metaverse, then D-Theory of Time gives us a clear-cut guiding principle for doing just that.
Here’s Consciousness: Evolution of the Mind (2021) documentary, Part III: CONSCIOUSNESS & TIME #consciousness #evolution #mind #time #DTheoryofTime #DigitalPresentism #CyberneticTheoryofMind
Imagine windows that can easily transform into mirrors, or super high-speed computers that run not on electrons but light. These are just some of the potential applications that could one day emerge from optical engineering, the practice of using lasers to rapidly and temporarily change the properties of materials.
“These tools could let you transform the electronic properties of materials at the flick of a light switch,” says Caltech Professor of Physics David Hsieh. “But the technologies have been limited by the problem of the lasers creating too much heat in the materials.”
In a new study in Nature, Hsieh and his team, including lead author and graduate student Junyi Shan, report success at using lasers to dramatically sculpt the properties of materials without the production of any excess damaging heat.
