Companies around the world invest billions in R&D to provide cutting-edge innovation to their products and services. In order to protect these investments, companies apply for patents. Therefore, the number of utility patents a company is granted can be considered a rough measure of its level of innovation. Every year, the Patent 300 List identifies America's most innovative companies within the intellectual property space by analyzing the patents granted by the United States Patent and Trademark Office (USPTO). In 2021, the USPTO granted a total of 327,798 utility patents, down 7% from the previous year.

This week iSono Health announced FDA clearance of the company's ATUSA System for breast imaging. This is world's first AI-driven portable and automated 3D breast ultrasound scanner. In just 2 minutes, the ATUSA system automatically scans the entire breast volume, independent of operator expertise, and offers 3D visualization of the breast tissue. The ATUSA system is designed from the ground up to seamlessly integrate with advanced machine learning models that will give physicians a comprehensive set of tools for decision making and patient management. This is the first of several intended FDA submissions for the company.

Notorious facial recognition company Clearview AI has agreed to permanently halt sales of its massive biometric database to all private companies and individuals in the United States as part of a legal settlement with the American Civil Liberties Union, per court records. Monday's announcement marks the close of a two-year legal dispute brought by the ACLU and privacy advocate groups in May of 2020 against the company over allegations that it had violated BIPA, the 2008 Illinois Biometric Information Privacy Act. This act requires companies to obtain permission before harvesting a person's biometric information -- fingerprints, gait metrics, iris scans and faceprints for example -- and empowers users to sue the companies who do not. "Fourteen years ago, the ACLU of Illinois led the effort to enact BIPA – a groundbreaking statute to deal with the growing use of sensitive biometric information without any notice and without meaningful consent," Rebecca Glenberg, staff attorney for the ACLU of Illinois, said in a statement. "BIPA was intended to curb exactly the kind of broad-based surveillance that Clearview's app enables. Today's agreement begins to ensure that Clearview complies with the law. This should be a strong signal to other state legislatures to adopt similar statutes."

Lending Document AI is a Document Understanding solution that allows for classification and parsing of documents commonly used in the mortgage lending industry. The data in these unstructured files is then converted into a structured format, which can be stored in a database or used for analysis and calculations. You can read more about the product in the announcement blog post. This sample application creates an automated pipeline where the user can bulk upload a collection of PDFs, the Lending Document Splitter & Classifier will classify each document and send each PDF to the appropriate specialized parser to extract the data, which can then be used to calculate an individual tax return and fill out a 1040 Form. Let's explore how this application works.

We analyze the regression accuracy of convolutional neural networks assembled from encoders, decoders and skip connections and trained with multifidelity data. Besides requiring significantly less trainable parameters than equivalent fully connected networks, encoder, decoder, encoder-decoder or decoder-encoder architectures can learn the mapping between inputs to outputs of arbitrary dimensionality. We demonstrate their accuracy when trained on a few high-fidelity and many low-fidelity data generated from models ranging from one-dimensional functions to Poisson equation solvers in two-dimensions. We finally discuss a number of implementation choices that improve the reliability of the uncertainty estimates generated by Monte Carlo DropBlocks, and compare uncertainty estimates among low-, high- and multifidelity approaches.

Scientists from the National Eye Institute (NEI) discovered five subpopulations of retinal pigment epithelium (RPE). Using artificial intelligence (AI), the researchers were able to analyze images of RPE at single-cell resolution to create a reference map that locates each subpopulation within the eye. Their findings are published in the journal Proceedings of the National Academy of Sciences, in a paper titled, "Single-cell–resolution map of human retinal pigment epithelium helps discover subpopulations with differential disease sensitivity." "These results provide a first-of-its-kind framework for understanding different RPE cell subpopulations and their vulnerability to retinal diseases, and for developing targeted therapies to treat them," said Michael F. Chiang, MD, director of the NEI, part of the National Institutes of Health. "The findings will help us develop more precise cell and gene therapies for specific degenerative eye diseases," said the study's lead investigator, Kapil Bharti, PhD, who directs the NEI Ocular and Stem Cell Translational Research Section.

Over the last two years a series of unexpected events has scrambled global supply chains. Coronavirus, war in Ukraine, Brexit and a container ship wedged in the Suez Canal have combined to delay deliveries of everything from bicycles to pet food. In response, a growing group of startups and established logistics firms has created a multi-billion dollar industry applying the latest technology to help businesses minimize the disruption. Interos Inc, Fero Labs, KlearNow Corp and others are using artificial intelligence and other cutting-edge tools so manufacturers and their customers can react more swiftly to supplier snarl-ups, monitor raw material availability and get through the bureaucratic thicket of cross-border trade. The market for new technology services focused on supply chains could be worth more than $20 billion a year in the next five years, analysts told Reuters.

Clearview has built a product no other company has been willing to build, because of its dangerousness, and this settlement vindicates the decision

This content can also be viewed on the site it originates from. A video posted toward the end of February on the Facebook page of Valerii Zaluzhnyi, the commander-in-chief of Ukraine's armed forces, showed grainy aerial footage of a Russian military convoy approaching the city of Kherson. Russia had invaded Ukraine several days earlier, and Kherson, a shipbuilding hub at the mouth of the Dnieper River, was an important strategic site. At the center of the screen, a targeting system locked onto a vehicle in the middle of the convoy; seconds later, the vehicle exploded, and a tower of burning fuel rose into the sky. The Bayraktar TB2 is a flat, gray unmanned aerial vehicle (U.A.V.), with angled wings and a rear propeller.

RUSKA LOZOVA, Ukraine – The Ukrainian major had a few tasks to complete as he made the rounds along his army battalion's front line. One platoon commander needed anti-tank weapons. Another wanted to show off a new line of trenches his forces had dug following a recent Ukrainian advance. But as he drove between positions in his camouflaged armored van near the town of Derhachi, the clock was ticking. A Russian surveillance drone hovered above, watching, sending back coordinates to Russian artillery units, the major said. About 20 minutes later, at least three shells rained down, forcing the major and his team to scramble.