Companies developing artificial intelligence (AI)-powered marketing tools typically claim that their solutions drive strategic decision-making better than software without an algorithmic component. But -- as is often the case -- the reality is more complicated. AI learns to make predictions from large amounts of high-quality data, and so can be hamstrung (e.g., make mistakes) if that data is not available. The complex nature of marketing stacks, which sprawl across disparate, disconnected systems, can put up logistical roadblocks to implementation. Brew, a Tel Aviv, Israel-based strategic marketing platform, claims its approach is different from the rest in that it's more holistic.

Sean Cusack, a software engineer at Microsoft and beekeeper on the side, wanted to know if anything besides bees was going into his hives. So he built a tiny photo booth (a sort of bee vestibule) that took pictures whenever something appeared around it. But sorting through thousands of insect portraits proved tedious. Colleagues told him about a new product that the company was working on called Lobe.ai, which allows anybody to train a computer-vision system to recognize objects. Cusack used it to identify his honeybees -- but also to keep an eye out for the dreaded murder hornet.

Artificial intelligence (AI) is a cutting-edge computer science technology. It shares similarities with human intelligence in terms of language comprehension, reasoning, learning, problem solving. In the development and revision of technology, market manufacturers face enormous intellectual challenges during the forecast period. Furthermore, the expansion of the automotive industry is expected to drive the Automotive Artificial Intelligence Market during the forecast period. The automotive industry has recognized the potential of artificial intelligence and is one of the major industries that employs AI to augment and mimic human action which is the major factor driving the growth of Automotive Artificial Intelligence Market during the forecast period.

The Department of Innovation & Technology (InnoTech) under Druk Holding & Investments (DHI), the commercial arm of the Royal Government of Bhutan, has partnered with Omdena, a global collaborative platform that makes AI for good accessible to all. This partnership is a step further in DHI InnoTech's mission to strategize technology and innovation pathways to enhance access and diffusion of emerging technologies, and build local capacity in the fields of science and technology. Omdena will assist InnoTech in hosting a global 2-week hackathon wherein InnoTech will identify key themes and issues that can be resolved using innovative AI/ML applications. Omdena will work with 50 AI engineers over an additional 8-week challenge to develop the idea or POC selected from the hackathon into a fully deployable algorithm. The pilot InnoTech-Omdena event will serve as a showcase for local institutions and the general public who are interested in AI/ML.

Participants at the Middle East Naval Commanders Conference (MENC) held on the sidelines of the Doha International Maritime and Defence Exhibition and Conference 2022 (DIMDEX) have noted the importance of bilateral and multilateral partnerships among countries to ensure the oceans are protected from threats. While discussing'Resilience in the maritime Domain – Confronting Asymmetric Threats,' senior military officers and academia highlighted the rapid growth of technology, and artificial intelligence (AI) in modern military operations and the gradual shift towards unmanned technological revolution. Vice-Admiral Brad Cooper, Commander, US Naval Forces Central Command/5thFleet, said multilateral partnerships, especially in a vast and strategic region like the Middle East and the Gulf, would ensure the security of commerce and people. He also noted that Qatar, as a Major non-NATO ally (MNNA), would play a crucial role in deploying technologies alongside the US and other partners to ensure the region's security. "Oceans have long served as parts to new frontiers and opportunities, and they remain so today. This region has three strategic points, the Suez Canal, the Gulf of Aden and the Strait of Hormuz. Challenges to commercial vessels' security and stability and other threats can significantly impact global commerce. This is why resilience in the maritime domain matters greatly," Vice-Admiral Cooper said.

Fake faces created by artificial intelligence (AI) are considered more trustworthy than images of real people, a new study has found. The results highlight the need for safeguards to prevent deep fakes, which have already been used for revenge porn, fraud and propaganda, the researchers behind the report say. The study - by Dr Sophie Nightingale from Lancaster University in the UK and Professor Hany Farid from the University of California, Berkeley, in the US - asked participants to identify a selection of 800 faces as real or fake, and to rate their trustworthiness. After three separate experiments, the researchers found the AI-created synthetic faces were on average rated 7.7% more trustworthy than the average rating for real faces. This is "statistically significant", they add.

Did you miss a session at the Data Summit? Companies developing artificial intelligence (AI)-powered marketing tools typically claim that their solutions drive strategic decision-making better than software without an algorithmic component. But -- as is often the case -- the reality is more complicated. AI learns to make predictions from large amounts of high-quality data, and so can be hamstrung (e.g., make mistakes) if that data is not available. The complex nature of marketing stacks, which sprawl across disparate, disconnected systems, can put up logistical roadblocks to implementation.

Accurately forecasting extreme rainfall is notoriously difficult, but is also ever more crucial for society as climate change increases the frequency of such extremes. Global numerical weather prediction models often fail to capture extremes, and are produced at too low a resolution to be actionable, while regional, high-resolution models are hugely expensive both in computation and labour. In this paper we explore the use of deep generative models to simultaneously correct and downscale (super-resolve) global ensemble forecasts over the Continental US. Specifically, using fine-grained radar observations as our ground truth, we train a conditional Generative Adversarial Network -- coined CorrectorGAN -- via a custom training procedure and augmented loss function, to produce ensembles of high-resolution, bias-corrected forecasts based on coarse, global precipitation forecasts in addition to other relevant meteorological fields. Our model outperforms an interpolation baseline, as well as super-resolution-only and CNN-based univariate methods, and approaches the performance of an operational regional high-resolution model across an array of established probabilistic metrics. Crucially, CorrectorGAN, once trained, produces predictions in seconds on a single machine. These results raise exciting questions about the necessity of regional models, and whether data-driven downscaling and correction methods can be transferred to data-poor regions that so far have had no access to high-resolution forecasts.

For years, beer drinkers have had to pretend to enjoy dodgy-tasting beer served up by hipster breweries and enthusiastic home-brewers. Now researchers in Japan say two different facial expressions can truly reveal whether or not we enjoyed a beer immediately after trying it. In experiments, the scientists used facial recognition technology to scan people's facial expressions to reveal their true beer preferences. 'Lip suck', where the lips are drawn inwards as if we're saying'mmmmm', indicate that we enjoy a beverage, the experts claim. Conversely, 'lip press', where the lips are pressed down on top of each other, reveals that we actually thought a beer tasted horrible.

It was February 11, his birthday, and the 58-year-old billionaire CEO and cofounder of Yandex, the Russian tech behemoth, was in the sort of open, engaging mood that could be called privetliviy, after the casual Russian word privet for hello. He was speaking from his car in Tel Aviv, bragging about his father--an oil geologist in his eighties who had "discovered" oil in Israel, Volozh said--as we chatted about my upcoming trip to Tel Aviv to interview him for this story. For more than 20 years, Yandex has been known as "Russia's Google": It began as a search engine in 1997 and still has a 60 percent share of the Russian search market. But for the past decade, this tag has understated the company's inescapable ubiquity in Russians' daily life. Yandex Music is the country's leader in paid music streaming, and Yandex Taxi is the top ride-hailing app.