Aidoc, the leading provider of healthcare AI solutions, today announced that it received FDA 510(k) clearance for its triage and notification of pneumothorax on X-ray exams. A one-stop partner for the enterprise's clinical AI needs, Aidoc's other seven FDA-cleared solutions are already implemented across U.S. health systems, flagging and communicating suspected pathologies in CT exams – and now have expanded to the high volume X-ray modality. Aidoc's newly FDA-cleared solution runs on all X-ray machines including portable ones, and is designed to analyze X-ray images. It automatically flags positive cases of pneumothorax, facilitating physicians to read X-rays in a timely manner. The ability to quickly identify pneumothorax is imperative as it can worsen rapidly and result in respiratory or cardiac failure.

Artificial Intelligence (AI) holds great potential for robotics, enabling a range of benefits in sectors as diverse as manufacturing and healthcare. Though AI is already making its mark on robotics, it is at a much slower pace and in a far narrower field of application than is commonly assumed. This paper summarizes the most common applications of AI in robotics currently in commercial use and provides an overview of market potential over the next 5 to 10 years. This paper looks at the most common uses of AI in commercial robotic applications and discusses market trends. The impact of AI in robotics on work and jobs is also a topic.

Advances in the field of artificial intelligence resulted in incorporation of these technologies into the process of scientific research and in the field of photonics. Such methods as machine learning and deep learning have become popular design tools for development of photonic devices. Design in this case implies prediction of a physical response of a given structure (forward design) as well as the reverse process of finding parameters of a structure required to provide a desired response (inverse design). While design procedures arguably remain the most widespread implementation of machine learning in photonics, novel applications begin to emerge leading to evolvement of a new research area of intelligent photonics.

JPMorgan Chase and Acumen America co-led FutureFit AI's round to provide workers with an AI-powered tool to help them navigate their careers FutureFit AI, the AI-powered career navigation platform, today announced that it closed on a funding round of $4.5M in late 2021, which will fuel product innovation and growth as the company meets the demand for career navigation and reskilling that has skyrocketed in the aftermath of the COVID-19 pandemic. The investment was co-led by JPMorgan Chase and Acumen America and is the company's first financing round. FutureFit AI is the market leader as the'navigation layer' of workforce development seamlessly connecting multiple stakeholders and solutions in one comprehensive user journey. "To support a more equitable economic recovery, we need to find ways to connect overlooked talent with career opportunity at a time when the needs of employers and the labor market are changing faster than ever," said Hamoon Ekhtiari, CEO of FutureFit AI. Ekhtiari immigrated to North America two decades ago when he didn't know any English and directly experienced the challenges of navigating the labor market.

The project, funded by Fonds de recherche du Québec – Nature et technologies (FRQNT), in partnership with the Ministère de l'Énergie et Ressources naturelles (MERN), under its second sustainable mining partnership research program, will analyze all airborne image data to predict the nature of the subsoil. The algorithms generated can be used as guides to target mineral exploration sites. This new approach to artificial intelligence aims to train parallel neural networks, each processing one type of variable, such as aeromagnetic or electromagnetic data. When processing is complete, a system will combine each network's predictions to generate a final prediction. Professor Gloaguen's team is working with experts in artificial intelligence applied to mining for this network development project, the first phase of which is already underway.

RS21, a data science company developing artificial intelligence (AI) and machine learning technologies for high-impact sectors, has been awarded a basic ordering agreement (BOA) for the Data Readiness for Artificial Intelligence Development (DRAID). The award was made on behalf of the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC) and has a $241 million ceiling across task orders over five years. The U.S. Army Contracting Command awarded agreements to establish a decentralized vehicle that streamlines rapid procurement and agile delivery of AI data readiness capabilities for the DoD. Through the DRAID vehicle, RS21's capabilities will be available to support AI data readiness services to meet DoD requirements. RS21 will compete on specific task orders released for the JAIC DRAID to build reliable, ethical AI-enabled systems intended to transform the DoD and increase opportunities for AI activities across the Department.

NEW YORK, NY (March 25, 2022) – A study published today in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying patient cells with artificial intelligence methods for image analysis. Using their automated cell culture platform, scientists at the NYSCF Research Institute collaborated with Google Research to successfully identify new cellular hallmarks of Parkinson's disease by creating and profiling over a million images of skin cells from a cohort of 91 patients and healthy controls. "Traditional drug discovery isn't working very well, particularly for complex diseases like Parkinson's," noted NYSCF CEO Susan L. Solomon, JD. "The robotic technology NYSCF has built allows us to generate vast amounts of data from large populations of patients, and discover new signatures of disease as an entirely new basis for discovering drugs that actually work." "This is an ideal demonstration of the power of artificial intelligence for disease research," added Marc Berndl, Software Engineer at Google Research. "We have had a very productive collaboration with NYSCF, especially because their advanced robotic systems create reproducible data that can yield reliable insights."

PredictHQ, the demand intelligence company, announced a partnership with leading gig economy empowerment platform Stoovo. Stoovo is an AI-driven platform that helps independent workers strategically choose the right short-term work opportunities near them. The company will integrate PredictHQ's demand intelligence with their advanced AI platform to alert gig economy workers to where demand will surge in advance, allowing them to review and accept the most lucrative gigs in the closest geographic proximity. PredictHQ's demand intelligence is already used by leading rideshare companies including Uber and delivery networks including GoPuff. Its enriched data on events that drive demand for independent workers is already enabling better demand forecasting and planning across the on-demand industry.

NVIDIA AI is not something you can download. It is not one package. Yet almost everything our company builds touches and contributes to AI. As NVIDIA founder and CEO Jensen Huang said during his opening GTC keynote, developers use AI to achieve groundbreaking science, solve the world's most complex problems, and revolutionize industries. That work is packaged into software development kits, libraries, frameworks and tools.

The coronavirus pandemic completely disrupted the global travel industry. While things are slowly opening up, the current situation of world affairs makes travel returning to its former glory seem a rather far-fetched idea. But wouldn't it be nice to be able to'be there' without actually being there? Like take a tour at the famous Singapore museum or attend an important press conference across the continent or participate in your best friend's wedding all from the comfort of your home? Well, that's the idea behind telepresence, a technology that has been making waves in the market for a while.