An artificial intelligence that can predict how a beer will taste from its chemical make-up could help create alcohol-free versions that taste just like regular ones. Predicting flavour from chemical compounds is difficult, as complex interactions between ingredients and the psychology of taste can make for surprisingly different perceptions, even between people sampling the same thing. To address this, Kevin Verstrepen at KU Leuven in Belgium and his colleagues have developed an AI model that can predict flavour profiles based on a beer's chemical components and make suggestions for how to improve the flavour. The model was trained on beer reviews from a panel of 16 expert tasters, who scored each brew for 50 attributes, as well as 180,000 public ratings from an online beer reviewing website. It compared these subjective descriptions with measurements of 226 chemical compounds in 250 Belgian beers.

The properties of exoplanet host stars are traditionally characterized through a detailed forward-modeling analysis of high-resolution spectra. However, many exoplanet radial velocity surveys employ iodine-cell-calibrated spectrographs, such that the vast majority of spectra obtained include an imprinted forest of iodine absorption lines. For surveys that use iodine cells, iodine-free "template" spectra must be separately obtained for precise stellar characterization. These template spectra often require extensive additional observing time to obtain, and they are not always feasible to obtain for faint stars. In this paper, we demonstrate that machine learning methods can be applied to infer stellar parameters and chemical abundances from iodine-imprinted spectra with high accuracy and precision. The methods presented in this work are broadly applicable to any iodine-cell-calibrated spectrograph. We make publicly available our spectroscopic pipeline, the Cannon HIRES Iodine Pipeline (CHIP), which derives stellar parameters and 15 chemical abundances from iodine-imprinted spectra of FGK stars and which has been set up for ease of use with Keck/HIRES spectra. Our proof-of-concept offers an efficient new avenue to rapidly estimate a large number of stellar parameters even in the absence of an iodine-free template spectrum.

An image generated by DALL-E 2 from information submitted by artist Rebecca Brewer.Rebecca Brewer/Handout The Vancouver artist Rebecca Brewer is a painter; they apply oils to wood panels to create dreamscapes that hover between the abstract and the representational, offering a low viewpoint or hallucinogenic take on tangled images that might evoke the forest floor or the ocean depths but can't be pinned down. Inspired by the 17th-century tradition of sottobosco, still life paintings of undergrowth, Brewer brings attention to the overlooked or hidden, and lets the viewer glimpse images in their figures the way one might see shapes in clouds. To make work for their recent show at the Catriona Jeffries Gallery in Vancouver, they wondered if some artificial intelligence might help conjure up these surreal images. "I started to fool around with the Open AI tool DALL-E, developing ideas for the show," they said in a recent interview, explaining how they fed descriptions of the effects they had wished to achieve in previous paintings into the program. I could get to something quite similar to what I had in mind." Brewer resubmitted versions of the best AI-generated images along with new prompts into the program and eventually incorporated a few examples into their new works, projecting the computer-generated imagery onto panels and then painting them. Sabrina Ratté's exploration of the blurred line between tech and humanity is making her an art world star "I felt I was very creatively involved.

Artificial intelligence (AI) and the internet of things (IoT) are becoming more prominent in the food and beverage industry. In a recent interview, Joe Vogelbacher, president and co-founder of Sugar Creek Brewing, shared how AI and IoT are helping his company. Founded in 2013, Sugar Creek Brewing crafts Belgian-inspired ales for North Carolina and beyond. The company is veteran-owned and a certified independent member of the Craft Brewers Association. It has integrated AI and IoT into its brewing process to improve manufacturing and the quality of its beer.

Army researchers recently completed a simulation study where crew members and artificial intelligent agents demonstrated trust and cohesion while working together.U.S. Army Combat Capabilities Development Command's Army Research Laboratory researchers and U.S. Army Military Academy at West Point cadets conducted the study as part of an academic capstone project. It also supports the Army Wingman Joint Capabilities Technology Demonstration and the Army's Next Generation Combat Vehicle mission prioritization."The "Subjective, behavioral, performance, communication and physiological data were collected to identify possible team trust and team cohesion metrics."Researchers "The cadets used the Wingman simulation testbed, which allows a human crew to interact with the actual robotic vehicle autonomy on a realistic gunnery task. They collected informed consent, briefed the participants, and collected questionnaire data, along with timing the event."The "The cadets filled the roles of mobility and lethality operator with me as vehicle commander.

For decades, Hollywood has made millions off of our fears that artificial intelligences such as HAL in 2001: A Space Odyssey and Skynet in The Terminator could one day control us or even wipe out humanity. Today, we have kindler, gentler, real-life AIs like iPhone's Siri and Amazon's Alexa, and according to a new survey overseen by a team of University of Delaware researchers, many of us are more than happy to include this technology in our daily lives. The results of the survey, released this month, show that almost half of all Americans say they use a voice-activated personal assistant such as Siri or Alexa. Those who use such assistants are particularly likely to support developing AI (63%) and public funding for research on it (46%), while those who do not utilize these services show less support (51% and 37%, respectively). Furthermore, people who use voice assistants are especially likely to see AI as having positive effects on society and to feel hopeful about the technology.

Ask any brewer and they'll admit that while beer has likely been around since the dawn of civilization, we're all still learning new ways to brew it more efficiently, creatively, and quickly. But balancing the brewer's art with modern approaches to automation, measurement, and decision making requires brewers to toe a fine line. Take the personality out of the process, and you sacrifice the "craft" in craft beer. Ignore the best tools available, and you waste precious resources that could be better spent on the creative side of the brewing equation. From their outpost on the eastern edge of the Cascades in Bend, Oregon, Deschutes Brewery has tackled this problem in a forward-thinking way, embracing their brew team's passion for tech and programming. Through their operational technology team, they're using a cutting-edge approach to brewing technology aimed at saving time and money, making higher-quality beer, and in turn freeing up company resources for an aggressive innovation program.

The use of AI-driven processes to increase efficiency in the F&B market is no longer an anomaly. A host of breweries and distilleries have incorporated the technology to not only develop flavour profiles faster, but also for other functions, including packaging, marketing, as well as to ensure they meet all food-safety regulations. Although the intention is not to find a replacement for the brewmaster/distiller, it becomes a thrilling learning experiment that equips them with multiple data points that could help them come up with innovative ideas. The company claims to be the world's first to use AI algorithms and machine learning to create innovative beers that adapt to users' taste preferences. Based on customer feedback, the recipe for their brews goes through multiple iterations to generate various combinations.

Any business looking to implement emerging technologies has one primary goal: to generate revenue. Deploying advanced digital technologies into business functions is no small undertaking; it requires a large financial investment, a reskilling of the workforce and a cleaning of vast amounts of data to ensure it's prepared to be analyzed. Simply put, if you take this on, you want to see the return. However, there's a fundamental problem with the approach many companies are taking with machine learning. They are using it to superficially enhance the customer experience, but stop short of transforming it into a true revenue-generating engine.

Is there a magic formula for brewing the perfect beer? If there is, then given the drink's timeless popularity, whoever finds it is likely to be very successful. It's a question that the world's largest brewer is hoping to answer with the help of artificial intelligence (AI). The Amazing Ways The Brewers of Budweiser Are Using Artificial Intelligence To Transform The Beer ... [ ] Industry AB InBev – producer of renowned brews including Budweiser, Stella Artois, and Corona - is building machine learning into key areas of its business, as it seeks to bring one of the world's oldest industries into the digital age. The company has invested in a raft of data-driven initiatives with the aim of improving everything from how it brews beer to how it manages its relationships with customers and markets its products to the public. It began its steps towards digital transformation several years ago by establishing what it refers to as its Beer Garage – a Silicon Valley-based hub of innovation, where it researches, develops, and tests technology-driven solutions.