JERUSALEM, Sept. 6 (Xinhua) -- A total of 12 Israeli hi-tech startups, mainly from the medical and healthcare sector, participated in the second round of "Chuangxiang China" Anhui innovation and entrepreneurship competition in central Israel. The event was hosted by China's Anhui provincial government in Israeli central city of Tel Aviv on Thursday evening. A total of 110 Israeli hi-tech startups applied for the competition, mostly involved in the research and development (R&D) of technologies in healthcare, smart manufacturing, artificial intelligence (AI) and big data, 12 out of which were qualified to the second round of the competition. After presentations and meetings, three Israeli startups, On-Sight, Vectorious and RedDress, became the winners of the second round and will attend the final round of the competition, which is to be held in Hefei, capital of east China's Anhui Province in November this year. The medical and healthcare sector has increasingly become an important sector attracting both Israeli and Chinese companies.
TEL-AVIV, Israel–(BUSINESS WIRE)–accessiBe has recently launched a pioneering web accessibility tool powered by artificial intelligence (AI). The solution simplifies the way companies and site owners can make their content accessible to users with disabilities by using AI to automatically apply accessibility standards to their websites. The AI solution scans and analyzes the website and, within 48 hours, applies the necessary modifications so that the site transmits compliant and accessible content to the end users. The AI also re-scans for new and revised content daily which benefits sites that feature dynamic or fast-changing content. After two years of development, accessiBe was eventually launched in 2018 in Israel where it went through successful pilot efforts.
Tel Aviv is the city with the highest number of startups per capita in the world, according to the 2018 Global Startup Ecosystem report -- more than 6,000, of which 18 are unicorns. The city's tech cluster, dubbed Silicon Wadi, is home to more than 100 venture capital funds, plus hundreds of accelerators and co-working places. "Tel Aviv is transitioning from startup nation to scale-up nation," says Eyal Gura, co-founder of Zebra Medical Vision. Amit Gilon, an investor at Kaedan Capital VC fund, agrees – adding that Israel is not just about successful B2B companies anymore, such as Checkpoint, Nice and Amdocs, but also about "big B2C success stories like Playtika, Wix, Fiverr and others". Founded in 2015, Arbe has built a 4D ultra-high-resolution imaging radar for cars.
Israeli retail analytics insight company Anagog has won the X5 Retail-Tech Challenge competition for retail innovation. The competition was held this week in Tel Aviv by the Israel-Russia Chamber of Commerce, for the X5 retail group, Russia's largest retail chain. Anagog's management are traveling to Moscow to make a pitch to the retail chain's senior executives for a major contract from the chain. Evigence Sensors finished second in the competition and Varcode and Tarritech tied for third place. Anagog was founded in 2010 by Gil Levy and Yaron Aizenbud.
LONDON – Following the launch of its AI inference chip last year, Habana Labs (Tel-Aviv, Israel) has unveiled an AI training chip built on the same architecture that can outpace the incumbent technology by a substantial margin, and features on-chip RoCE (remote direct memory access over Converged Ethernet) communications for scalability. While the company's inference chip, Goya, set records for ResNet-50 inference back in September 2018, the new training chip, Gaudi, offers similar high performance. Gaudi can process 1650 images per second at a batch size of 64 when training a ResNet-50 network, which Habana claims is a new world record for this benchmark. This throughput is delivered at 140W power consumption, also a substantial advantage versus competing solutions, according to the company. Impressive, but is Habana's architecture designed specifically to beat the ResNet-50 benchmark, or will it offer similar throughput advantages for other types of neural networks?
In a paper scheduled to be presented next week during the annual Conference on Computer Vision and Pattern Recognition (CVPR), scientists at IBM, Tel Aviv University, and Technion describe a novel AI model design -- Label-Set Operations (LaSO) networks -- designed to combine pairs of labeled image examples (e.g., a pic of a dog annotated "dog" and a sheep annotated "sheep") to create new examples that incorporate the seed images' labels (a single pic of a dog and sheep annotated "dog" and "sheep"). The coauthors believe that in the future, LaSO networks could be used to augment corpora that lack sufficient real-world data. "Our method is capable of producing a sample containing … labels present in two input samples," wrote the researchers. "The proposed approach might also prove useful for the interesting visual dialog use case, where the user can manipulate the returned query results by pointing out or showing visual examples of what she [or] he likes or doesn't like." LaSO networks learn to manipulate label sets of given samples and synthesize new ones corresponding to combined label sets, taking as input photos of different types and identifying common semantic content before implicitly removing concepts present in one sample from another sample.
Hailo, a Tel Aviv-based AI chipmaker, today announced that it is now sampling its Hailo -8 chips, the first of its deep learning processors. The new chip promises up to 26 tera operations per second (TOPS), and the company is now testing it with a number of select customers, mostly in the automotive industry. Hailo first appeared on the radar last year, when it raised a $12.5 million Series A round. At the time, the company was still waiting for the first samples of its chips. Now, the company says that the Hailo-8 will outperform all other edge processors and do so at a smaller size and with fewer memory requirements.
Editor's note: This exclusive article from CTech (Meir Orbach) was syndicated with permission. Inc. is acquiring Tel Aviv-based conversational AI startup Bonobo, incorporated as Bonobot Technologies Ltd., the company announced Thursday. The company did not disclose the financial terms of the deal, but one person familiar with the matter who spoke to Calcalist on condition of anonymity put it at $50 million. Founded in 2017 by Barak Goldstein, Efrat Rapoport, Idan Tsitiat, and Ohad Hen, Bonobo develops conversational AI technology designed to extract insights from online customer interactions. The company's technology integrates directly with various sources of customer interaction data, such as voice, chat, video, and email, running AI algorithms to analyze the data.
TEL AVIV, Israel, 16 April 2019--Israel's reams of electronic medical records –health data on its population of around 8.9 million people-- are proving fruitful for a growing number of digital health startups training algorithms to do things like early detection of diseases and produce more accurate medical diagnoses. According to a new report by Start-Up Nation Central, the growth in the number of Israeli digital health startups –537 companies, up from 327 in 2014--has drawn in new investors, including Israeli VCs who have never previously invested in healthcare. This has driven financing in the sector to a record $511M in 2018, up 32% year on year. By the first quarter of 2019 the amount raised was already at $214M. Of the $511M, over 50% ($285M) went to companies in decision support and diagnostics which rely heavily on data crunching.
Mention McDonald's to someone today, and they're more likely to think about Big Mac than Big Data. But that could soon change: The fast-food giant has embraced machine learning, in a fittingly super-sized way. McDonald's is set to announce that it has reached an agreement to acquire Dynamic Yield, a startup based in Tel Aviv that provides retailers with algorithmically driven "decision logic" technology. When you add an item to an online shopping cart, it's the tech that nudges you about what other customers bought as well. Dynamic Yield reportedly had been recently valued in the hundreds of millions of dollars; people familiar with the details of the McDonald's offer put it at over $300 million.