Ultrafast pulses from X-ray lasers reveal how atoms move at timescales of a femtosecond. However, measuring the properties of the pulses themselves is challenging. While determining a pulse's maximum strength, or'amplitude,' is straightforward, the time at which the pulse reaches the maximum, or'phase,' is often hidden. A new study trains neural networks to analyze the pulse to reveal these hidden sub-components. Physicists also call these sub-components'real' and'imaginary.' Starting from low-resolution measurements, the neural networks reveal finer details with each pulse, and they can analyze pulses millions of times faster than previous methods.

Prof. Sihong Wang shows a single neuromorphic device with three electrodes. Researchers at the University of Chicago's Pritzker School of Molecular Engineering (PME) have developed a flexible, stretchable computing chip that processes information by mimicking the human brain. The device, described in the journal Matter, aims to change the way health data is processed. "With this work we've bridged wearable technology with artificial intelligence and machine learning to create a powerful device which can analyze health data right on our own bodies," said Sihong Wang, a materials scientist and Assistant Professor of Molecular Engineering. Today, getting an in-depth profile about your health requires a visit to a hospital or clinic. In the future, Wang said, people's health could be tracked continuously by wearable electronics that can detect disease even before symptoms appear.

WIRE)-- Simulations Plus, Inc. (Nasdaq: SLP), a leading provider of modeling and simulation software and services for pharmaceutical safety and efficacy, today announced it has entered a new collaboration with a large pharmaceutical company to extend the industry's top-rated machine learning models for the prediction of ionization constants (pKa) in the ADMET Predictor platform. In this collaboration, the partner company will contribute tens of thousands of proprietary pKa measurements. The team at Simulations Plus will aim to leverage the expansive databases to improve the accuracy of predictions, and extend the chemical coverage space, using its novel machine learning and atomic descriptor calculation methods. Dr. Robert Fraczkiewicz, Research Fellow and project lead, said: "The ionization of molecules in water impacts nearly all properties driving the absorption, distribution, metabolism, and elimination processes which occur in vivo and determine whether a molecule can be turned into a drug. We identified early the importance of accurately, and rapidly, predicting this information using machine learning approaches and were fortunate to benefit from government grants and other collaborations over the years to develop novel 2D pKa models which have consistently outperformed other software and are on par with the accuracy of the best computationally intensive ab initio methods. This new partnership will enhance our current approaches and further distinguish ADMET Predictor as the preeminent property prediction platform in the drug discovery space. We value the trust and confidence our partner has in the people and technologies at Simulations Plus, and our team is looking forward to working with them to achieve our mutual goals."

As it advances its mission to make the world's streets and roadways safe, accessible, and useful for all, Argo AI announced today it has established the Argo Safety Advisory Council comprising top experts and industry leaders in the fields of transportation, medicine, law enforcement, and cybersecurity. The Argo Safety Advisory Council will provide external strategic counsel on Argo's safety and security practices and policies, including feedback on maintaining a world-class safety culture, earning public trust in autonomous vehicles, scaling safely across multiple cities and countries, and responsibly launching and operating commercial driverless services. Argo created the Council proactively, further underscoring the company's focus and commitment to bringing autonomous products and services to market safely. "At Argo, our foundational value is safety," said Bryan Salesky, Founder and CEO, Argo AI. "Autonomous vehicles have the potential to profoundly and positively impact transportation safety and accessibility in cities. I am grateful for the Argo Safety Advisory Council to share their collective wisdom and expertise to help Argo realize this goal."

PHOENIX and LAS VEGAS, Aug. 03, 2022 (GLOBE NEWSWIRE) -- Today at Inman Connect Las Vegas, Chime Technologies, an award-winning real estate technology innovator, introduced the company's latest natively-built platform capability, Social Studio. Designed to help real estate professionals capitalize on social media as a low-cost opportunity to build awareness and fill their pipeline, Social Studio automates the creation and execution of organic social media posts directly from the Chime system. Agents no longer need to spend countless hours developing engaging content; Social Studio provides the automation needed to streamline social media marketing efforts. To learn more, watch our video. The Chime team will be conducting demos of Social Studio and showcasing the full breadth and depth of the platform's lead generation, nurture, and conversion capabilities at Inman Connect this week.

This article is a summary of the AI, ML, and Data Engineering InfoQ Trends 2022 podcast and highlights the key trends and technologies in the areas of AI, ML, and Data Engineering. In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving. Meet CockroachDB Serverless - The most highly evolved SQL database on the planet. Start free and scale as you grow.

Dublin, Aug. 02, 2022 (GLOBE NEWSWIRE) -- The "Artificial Intelligence Computing Software: Market Analysis" report has been added to ResearchAndMarkets.com's offering. Market is predicted to grow from $ 6.9B in 2021 to $ 37.6B in 2026 and may become a new sector of the economy. This research contains complete information of the AI-related processors specifications and capabilities which were produced by the key market players and start-ups. This comprehensive analysis can aid you in your technology acquisitions or investment decisions related to the fast-growing AI processors market. After the main breakthrough at the turn of the century AI started to incorporate more and more artificial neural networks, connected in an ever-growing number of layers, now known as Deep Learning (DL).

SwarmFarm Robotics, the leader in Integrated Autonomy for agriculture, announced today that it crossed a significant milestone by successfully covering one million acres, 55,000 hours of operation, and has reduced pesticide inputs by an estimated 580 tons with its autonomous robots. These figures set SwarmFarm apart as the sole leader in a farmer-led movement that is happening whether operators are along for the ride - or not. A recent article published by Precision Farming Dealer stated that Raven Technologies had accumulated 8,000 hours of operational time, covering 69,000 acres. The same piece cited Blue-White Robotics as completing 10,000 hours of safe operation, and Monarch tractor with 1,300 operating hours. "We are excited to hear people talking more and more about the future of autonomy in agriculture - it's great for our category," said Andrew Bate, CEO of SwarmFarm Robotics.

Market Drivers: Rising complexity and diversity of mobile networks is driving the market of deep learning. These increasing complexity has made the managing of the network difficult.

In the future the "Konrad Zuse School of Excellence in Reliable Artificial Intelligence", where TUM is represented by Prof. Stephan Günnemann, will address the foundations of reliable of Artificial Intelligence, its utilization in critical application areas and the resulting societal implications. Research and teaching takes place in close partnership with LMU and in particular Prof. Gitta Kutyniok as co-director of the School. The network also includes international AI centers, non-university research organizations and over 15 industrial partners. Prof. Günnemann said: "We are opening up excellent career paths to talented young researchers from around the world. They can use the program to establish themselves in the academic world or to put the topic of Artificial Intelligence into industrial application. Here reliable Artificial Intelligence plays a prominent role, especially for Germany as a location for innovation which will profit greatly from the creativity and expertise of the talented young people being educated."