Eyal Ben-Ari just took his first shot on a goal of bringing professional-class analytics to amateur soccer players. The CEO of startup Track160, in Tel Aviv, has seen his company's AI-powered sports analytics software tested and used in the big leagues. Now he's turning his attention to underserved amateurs in the clubs and community teams he says make up "the bigger opportunity" among the world's 250 million soccer players. "Almost everyone in professional sports uses data analytics today. Now we're trying to enable any team at any level to capture their own data and analytics, and the only way to do it is leveraging AI," he said.
Earlier this month, the EcoMotion 2022 conference took place, where companies and experts from across the automotive technology industry gathered to showcase the latest innovations defining the sector. Autonomous vehicles were also present at the conference, with new technologies showcased by companies such as the driving system verification platform Foretellix. The company's platform is used by companies like Volvo, MobilEye and Amazon Web Services to verify the safety and viability of the software used to direct Autonomous Vehicles and Advanced Driver-Assistance Systems. The company recently closed a $32m investment round, with its overall capital raised reaching $50m since it was established in 2018. The Renault-Nissan-Mitsubishi Innovation Lab in Tel Aviv was present at the conference, looking for the latest innovations to utilize in future cars and services offered by the alliance members' companies. The lab's mission statement is to advance state-of-the-art mobility, with the main focus on vision sensors, cybersecurity, EV and data & AI.
With around 500,000 truck-related accidents in the US alone every year, and trucking firmly cemented as the deadliest profession in the US, the need for life-saving technology to prevent accidents is at a premium. Research from the NHTSA has revealed that 80% of accidents are caused by distracted driving in the 3 seconds before the collision. Further research from AAA shows 21% of fatal collisions are caused by fatigue. Now Tel Aviv, Israel-based intelligent sensing solutions company Cipia has introduced its Driver Sense driver monitoring system (DMS). Formally known as Eyesight Technologies, the company focuses on automotive in-cabin environments with its occupancy and interior monitoring system called Cabin Sense.
Synthetic data is in for a banner year, as businesses look to leverage AI for a growing number of increasingly-sophisticated applications, including tackling the world's supply-chain disruptions, reinventing automotive safety, and creating a whole new class of intelligent consumer goods with the metaverse at the fore TEL AVIV, Israel, Nov. 30, 2021 (GLOBE NEWSWIRE) -- Datagen, the pioneer of domain-specific synthetic data for humans and object perception, today released its new year's predictions for the fields of Artificial Intelligence, Machine Learning, and Computer Vision. As AI makes its way into ubiquitous adoption by a growing number of industries and applications, the demand for robust training data will expand accordingly. However, with manual data collection already at the limits of its own utility, the race for AI supremacy will only serve to widen the existing gulf between supply and demand. At the same time, companies like Datagen are making it easier and more affordable to generate high-quality synthetic datasets to train computer vision (CV) AI models. The ability to generate tens of thousands of synthetic images -- customized to suit the unique parameters of each distinct application -- makes synthetic data the obvious solution to the limitations of traditional, manually-collected data.
Being able to detect when someone is lying has been a goal for decades, and now, thanks to artificial intelligence, scientists believe they may be getting close. In a very early stage trial, a team from Tel Aviv University placed sensors on volunteers' faces, and watched for subtle facial movement changes as they told lies or truths. The system was able to tell if somebody was lying with 73 per cent accuracy - slightly lower than a polygraph test, which is accurate 80 per cent of the time. However, the team say this is a very early stage in its development, and that it will improve in the future. They predict that in the future AI-equipped cameras could be used at the airport, in an online job interview or in a police suspect interview to see if someone is fibbing.
Analysis The idea of so-called "master faces," a set of fake images generated by machine learning algorithms to crack into facial biometric systems by impersonating people, made splashy headlines last week. But a closer look at the research reveals clear weaknesses that make it unlikely to work in the real world. "A master face is a face image that passes face-based identity-authentication for a large portion of the population," the paper released on arXiv, earlier this month, explained. "These faces can be used to impersonate, with a high probability of success, any user, without having access to any user-information." The trio of academics from Tel Aviv University go on to say they built a model that generated nine master faces capable of representing 40 per cent of the population that bypassed "three leading deep face recognition systems."
Medical imaging AI, which can help diagnose health problems doctors don't alway see, is only getting more sophisticated--and more lucrative. Just last month, Tel-Aviv-based Aidoc raised $65 million for it's AI-powered medical imaging platform and other local companies are attracting investors at a rapid clip. The software can find, and in some cases, diagnose polyps, tumors or anomalies that may otherwise go undetected by the human eye – a feat that has the potential to save lives. Beyond its most promising attributes, AI-driven technology could also dramatically decrease wait times at hospitals and doctors' offices by automating some of the most tedious work, allowing doctors to see and treat more patients. But critics of the unregulated technology say results can be inconsistent.
Researchers from Israel have developed a neural network capable of generating'master' faces – facial images that are each capable of impersonating multiple IDs. The work suggests that it's possible to generate such'master keys' for more than 40% of the population using only 9 faces synthesized by the StyleGAN Generative Adversarial Network (GAN), via three leading face recognition systems. The paper is a collaboration between the Blavatnik School of Computer Science and the school of Electrical Engineering, both at Tel Aviv. Testing the system, the researchers found that a single generated face could unlock 20% of all identities in the University of Massachusetts' Labeled Faces in the Wild (LFW) open source database, a common repository used for development and testing of facial ID systems, and the benchmark database for the Israeli system. The Israeli system workflow, which uses the StyleGAN generator to iteratively seek out'master faces'. The new method improves on a similar recent paper from the University of Siena, which requires a privileged level of access to the machine learning framework.
SoftBank Group Corp. is leading an investment in AnyVision Interactive Technologies Ltd. that values the facial-recognition company at over $1 billion, according to a person familiar with the matter, underscoring its commitment to the technology despite pushback over privacy concerns. The Tel Aviv-based company, which uses artificial intelligence to recognize faces and objects, said Wednesday that it had raised $235 million from SoftBank's Vision Fund and other investors that it planned to use to expand in the U.S. The fundraising comes as facial-recognition technology faces growing scrutiny from regulators and activists who say it infringes on privacy. Last month the European Union proposed a new law that sought to limit police use of the technology, while several U.S. cities including San Francisco and Portland, Ore., have banned it. Large technology companies including Google's Alphabet Inc., Microsoft Corp. and Amazon Inc. have also stopped or dialed down their sales of facial-recognition technology in the past few years, citing privacy concerns. That pullback impacted AnyVision last year when Microsoft sold its stake in the startup citing "the challenges of being a minority investor in a company that sells sensitive technology."
Despite continuing controversies over its value in improving birth rates in IVF, testing embryos for their chromosomal content has become routine in many fertility clinics. Embryos with a normal complement of chromosomes (known as "euploid") are known to have a good chance of implanting in the uterus to become a pregnancy, while abnormal embryos (aneuploid) have no chance. Testing embryos for aneuploidy (known as PGT-A) has so far required a sample single cell or several cells taken from the embryo by biopsy, and this too has raised fears over safety such that a search for non-invasive methods has arisen in recent years. Now, a new study suggests that euploid embryos can be visually distinguished from aneuploid according to artificial intelligence references of cell activity as seen by time-lapse imaging--and thus without the need for cell biopsy. The results of the study will be presented today at the online annual meeting of ESHRE by Ms Lorena Bori from IVIRMA in Valencia, Spain, on behalf a joint research team from IVIRMA Valencia and AIVF, Israel, co-directed by Dr. Marcos Meseguer from Valencia and Dr. Daniella Gilboa from Tel-Aviv.