Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A University of Michigan student is one of the world's foremost "speedcubers," a person capable of quickly solving a Rubik's Cube. He also is an accomplished violinist. Stanley Chapel says the two fields go hand in hand.

Linus Lee is an independent researcher interested in the future of knowledge representation and creative work aided by machine understanding of language. He builds interfaces and knowledge tools that expand the domain of thoughts we can think and qualia we can feel.

A mechanistic understanding of catalytic organic reactions is crucial for the design of new catalysts, modes of reactivity and the development of greener and more sustainable chemical processes1–13. Kinetic analysis lies at the core of mechanistic elucidation by facilitating direct testing of mechanistic hypotheses from experimental data. Traditionally, kinetic analysis has relied on the use of initial rates14, logarithmic plots and, more recently, visual kinetic methods15–18, in combination with mathematical rate law derivations. However, the derivation of rate laws and their interpretation require numerous mathematical approximations and, as a result, they are prone to human error and are limited to reaction networks with only a few steps operating under steady state. Here we show that a deep neural network model can be trained to analyse ordinary kinetic data and automatically elucidate the corresponding mechanism class, without any additional user input. The model identifies a wide variety of classes of mechanism with outstanding accuracy, including mechanisms out of steady state such as those involving catalyst activation and deactivation steps, and performs excellently even when the kinetic data contain substantial error or only a few time points. Our results demonstrate that artificial-intelligence-guided mechanism classification is a powerful new tool that can streamline and automate mechanistic elucidation. We are making this model freely available to the community and we anticipate that this work will lead to further advances in the development of fully automated organic reaction discovery and development. Mechanistic elucidation through currently available kinetic analysis is limited by mathematical approximations and human interpretation, here a deep neural network model has been trained to analyse ordinary kinetic data and automatically elucidate the corresponding mechanism class.

How #artificialintelligence is changing science? Broadly, AI makes the next generation Science & Technology which is to model, simulate and produce machine intelligence/intellect/mind, the computational power to process real world data and to retain it as information, knowledge and intelligence to be applied towards complex problem solving and goal-directed behaviors within a dynamic environment of any scale. It involves a deep integration of scientific M&S of the formal sciences, natural, social, cognitive and technological sciences, as applied maths and computing and informatics. AI, with causal machine learning and DNNs, is not just about relying on computer algorithms to process data-information-knowledge to solve problems in a way similar to or much superior to the human mind. Analytical AI involves a computational representation of the world, using general intelligence and learning based on past experience to inform future decisions, knowledge engineering, simulation and scientific modelling.

Rep. Brian Fitzpatrick, R-Penn., and Rep. Josh Gottheimer, D-N.J., discuss the latest news emerging from the classified documents seized from President Biden on'Fox News Sunday.' This is a rush transcript of'Fox News Sunday' from January 22nd, 2022. This copy may not be in its final form and may be updated. A new round of classified items found in the president's home and new concerns about financial fallouts as the U.S. hits the debt limit again. JIM CLYBURN (D-SC): We've had these games before and it should not be done. KARINE JEAN-PIERRE, WHITE HOUSE PRESS SECRETARY: The president has been clear on this. It should not be used as a political weapon. BREAM: Swing district, moderate Republicans are calling for the president to drop the take it or leave it approach and come to the table. We'll sit down for a bipartisan conversation with two co-chairs from the Problem Solvers Caucus. Republican Brian Fitzpatrick and Democrat Josh Gottheimer join me to talk about how to find consensus on the debt limit, immigration and more. Then -- thousands of pro-life advocates come to the nation's capital for the first March for Life since the Supreme Court overturned Roe v. Wade. We'll look at the legal state of play now that abortion laws are up to the states, and sit down for a conversation with prominent voices from both sides. And eight months after the unprecedented leak of a draft Supreme Court ruling, there are still no answers from the high court about the leaker. JIM JORDAN (R-OH): The only way you're going to stop this in the future is to make sure you find out who did it and hold them accountable. BREAM: We'll ask our Sunday panel if we will ever find out who did it. Breaking overnight, at least ten people are dead, another ten injured after a mass shooting near Los Angeles. It happened late last night at a dance club in Monterey Park, California, close to where a lunar New York celebration had been taking place. Authorities say they believe the shooter is male and at this time it appears that person is not in custody. Deputies say they are reviewing security video in that area. Monterey Park is about ten miles east of Los Angeles. We'll keep you updated on any developments we get in from there. Also breaking this morning, the Justice Department seized more classified documents from the president's private residence just this week. The news comes as President Biden prepares to speak in person with House Speaker Kevin McCarthy to discuss the new Congress, a range of challenges there, where they disagree. And that, of course, includes the debt limit. Congress is facing a deadline to strike a deal or risk a financial crisis as the Treasury department steps in to avoid a government default.

The new research was carried out at Stanford University. The preprint, published January 21, began drawing extra attention on Twitter and other social media because of the death this week of its co-lead author, Krishna Shenoy, from pancreatic cancer. Shenoy had devoted his career to improving the speed of communication through brain interfaces, carefully maintaining a list of records on his laboratory website. In 2019, another volunteer Shenoy worked with managed to use his thoughts to type at a rate of 18 words a minute, a record performance at the time, as we related in MIT Technology Review's special issue on computing. The brain-computer interfaces that Shenoy's team works with involve a small pad of sharp electrodes embedded in a person's motor cortex, the brain region most involved in movement.

The Roman physician Galen was among the first people to realize that the brain controlled motor responses, cognitive function, and memory. Ever since Galen, this question has propelled the field of neuroscience. Beginning with Paul Broca's work in the 1800s, brain function has been described in terms of modular separation: each region in the brain controls a unique set of behaviors, actions, and capacities. This determination was made through observation of patients suffering neurological symptoms and connecting them to localized brain injuries. For example, Broca's area (a brain region in the inferior frontal gyrus) was found to be responsible for speech fluency (Acharya and Wroten 2022), and was discovered by studying two subjects, both of whom exhibited reduced speech capacity and suffered from lesions in the same area of the brain.

Consciousness is commonly tied to being alive; a trait that allows one to be self-aware of themselves and their place in the world. However, whether or not consciousness is tied to our conventional definition of what it means to be alive is now a topic of discussion amongst roboticists and philosophers. A key difference, according to some academic circles, is that consciousness is considered to be multi-dimensional, while at the same time, artificial and human consciousness may in fact be more closely related than we think. According to renowned Australian robotics philosopher David Chalmers, consciousness should be analyzed from an object's point of view of experience. As quoted in his 1995 paper on defining consciousness, he wrote: "A subject is conscious when she feels visual experiences, bodily sensations, mental images, emotions."

Widespread autonomy is the next step after the digital transformation and advanced manufacturing. He describes it as the evolution of work and the relationship between humans and machines. Evergreen will present the keynote, "Clearing the Digital Fog: The First Step of Autonomous Transformation," at IME West in Anaheim on February 8. We caught up with Evergreen to ask for further clarification about the autonomous transformation. Related: Manufacturing is Getting'Futurized' with Artificial Intelligence Design News: When you use the term autonomous transformation, it seems you're using the term to describe a concept beyond autonomous vehicles.

ソニーがディープラーニングプログラムを開発する「コンソールソフトウェア」のクラウドサービスについて、無償提供を開始しました。