Cloud artificial intelligence startup Akkio Inc. announced today that it has raised a $3 million seed round led by Bain Capital Ventures to build out its AI and machine learning platform Founded in 2019 by former employees of Sonos Inc. and Markforged Inc., the Akkio platform is pitched as offering AI for people who aren't data scientists. Offering a no-code platform, Akkio is designed for teams without dedicated data science or developer resources. The average training time on a model can be as little as one minute, and the company claims the process is as easy as uploading an Excel spreadsheet to the cloud. That compares with more than an hour using services from Google LLC, Amazon Web Services Inc., or Microsoft Corp., Akkio claims. It also says that even with short training time, their models typically outperform the cloud giants.

Amazon held its annual fall hardware event on Tuesday. It's too bad the company didn't stream the proceedings to the public because it was jam-packed with announcements. We saw everything from new Echo devices to an Alexa-powered robot. But worry not, we have you covered. Here's everything the company announced today.

In 2021, recent innovations in machine learning have made a great deal of tasks more feasible, efficient, and precise than ever before. Based on analysis of MobiDev's AI team experience, we have listed the latest innovations in machine learning to benefit businesses in 2021-2022: Trend 1. TinyML It can take time for a web request to send data to a large server for it to be processed by a machine learning algorithm and then sent back. Instead, a more desirable approach might be to use ML programs on edge devices - we can achieve lower latency, lower power consumption, lower required bandwidth, and ensure user privacy. Trend 2. AutoML Auto-ML brings improved data labeling tools to the table and enables the possibility of automatic tuning of neural network architectures. Evgeniy Krasnokutsky PhD, AI/ML Solution Architect at MobiDev, explains: "Traditionally, data labeling has been done manually by outsourced labor. This brings in a great deal of risk due to human error. Since AutoML aptly automates much of the labeling process, the risk of human error is much lower."

NEW YORK, September 23, 2021--(BUSINESS WIRE)--Helbiz Inc. (NASDAQ: HLBZ), a global leader in micro-mobility and the first in its industry to be publicly listed on Nasdaq, today announced a partnership with Drover AI to integrate its PathPilot safety technology onto Helbiz e-scooters. Helbiz will be the exclusive operator of PathPilot in Italy, with an initial deployment in Milan by end of the year. The company plans to expand the integration across other markets as the partnership grows. This press release features multimedia. The PathPilot technology is powered by artificial intelligence and computer vision, using onboard cameras to locate the surroundings of e-scooters.

Ran Poliakine, Chairman and CEO and Erez Meltzer, Director, will host industry experts and Nanox team members to share the Company's AI vision of the integration of the AI technologies with the Nanox.ARC and Nanox.SOURCE NEVE ILAN, Israel, Sept. 24, 2021 (GLOBE NEWSWIRE) -- NANO-X IMAGING LTD ("Nanox" or the "Company," Nasdaq: NNOX), an innovative medical imaging technology company, today announced that Ran Poliakine, Chairman and Chief Executive Officer, and Erez Meltzer, Director (appointed CEO effective January 1, 2022), will host a Nanox AI Vision event. About Nanox: Nanox, founded by the serial entrepreneur Ran Poliakine, is an Israeli corporation developing a commercial-grade digital X-ray source designed to be used in real-world medical imaging applications. Nanox believes that its novel technology could significantly reduce the costs of medical imaging systems and plans to seek collaborations with world-leading healthcare organizations and companies to provide affordable, early detection imaging services for all. For more information, please visit www.nanox.vision. Forward-Looking Statements This press release may contain forward-looking statements that are subject to risks and uncertainties.

A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists' ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or biopsies, needed to confirm suspect tumors by 27 percent. Led by researchers from the Department of Radiology at NYU Langone Health and its Laura and Isaac Perlmutter Cancer Center, the team's AI analysis is believed to be the largest of its kind, involving 288,767 separate ultrasound exams taken from 143,203 women treated at NYU Langone hospitals in New York City between 2012 and 2018. The team's report publishes online Sept. 24 in the journal Nature Communications. "Our study demonstrates how artificial intelligence can help radiologists reading breast ultrasound exams to reveal only those that show real signs of breast cancer and to avoid verification by biopsy in cases that turn out to be benign," says study senior investigator Krzysztof Geras, PhD.

The Moon’s polar regions are home to craters and other depressions that never receive sunlight. Today, a group of researchers led by the Max Planck Institute for Solar System Research (MPS) in Germany presents the highest-resolution images to date covering 17 such craters in the journal Nature Communications. Craters of this type could contain frozen water, making them attractive targets for future lunar missions, and the researchers focused further on relatively small and accessible craters surrounded by gentle slopes. In fact, three of the craters have turned out to lie within the just-announced mission area of NASA's Volatiles Investigating Polar Exploration Rover (VIPER), which is scheduled to touch down on the Moon in 2023. Imaging the interior of permanently shadowed craters is difficult, and efforts so far have relied on long exposure times resulting in smearing and lower resolution. By taking advantage of reflected sunlight from nearby hills and a novel image processing method, the researchers have now produced images at 1-2 meters per pixel, which is at or very close to the best capability of the cameras.

Coventry University is already reaching out to students who appear to be less engaged in their courses - utilising students' use of campus facilities and their digital footprint as a measure of engagement. The groundbreaking AI software, which Coventry University has co-developed from the ground up with AI firm Symanto, is designed to interpret student behaviour more accurately, enabling the university's Student Engagement Centre to step in and offer support more effectively and earlier than ever before. The technology analyses metrics such as attendance, library usage, grades and online learning activity, painting a picture of how well-engaged students are with their courses, studies and the university as a whole. It can also predict trajectories of student engagement and has the potential to continue evolving. Should students' habits or behaviours show worrying trends or sudden, dramatic changes, the university will then be alerted, before offering timely support to those who appear to need it.

NEW YORK--(BUSINESS WIRE)--Paige, the global leader in AI-based diagnostic software in pathology, today announced that the U.S. Food and Drug Administration (FDA) has granted de novo marketing authorization for Paige Prostate, a clinical-grade AI solution for prostate cancer detection. As a novel technology, Paige Prostate is the first AI-based pathology product to receive de novo approval from the FDA, allowing in vitro diagnostic (IVD) use via Paige's FDA-cleared FullFocus digital pathology viewer. With a projected 60 percent increase in the number of cancer cases globally in the next two decades and a decrease in the number of pathologists relative to this diagnostic demand, there is a significant need to provide new technologies for the practice of pathology. Paige Prostate is a cancer detection solution that identifies foci suspicious for cancer and provides this information to the pathologist. Paige Prostate is designed to assist pathologists in finding small foci of cancer and enable pathologists to work efficiently and confidently in their diagnostic process.

The companyOutrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety and increase efficiency. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider's mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. For more information, visit www.outrider.ai