Collaborating Authors


AI suggests how to make beer with whatever ingredients you have

New Scientist

AI that mimics aspects of the behaviour of flies seeking food can be used to design new beer recipes. It can also accurately recreate an existing brew using alternative ingredients when supplies are unstable. Mohammad Majid al-Rifaie at the University of Greenwich, UK, and his colleagues say that brewers traditionally follow existing recipes or create new ones using the time-consuming process of trial and error. He says that the AI tool is intended to "flip this whole equation around, so instead of …

AI Sommelier Generates Wine Reviews without Ever Opening a Bottle


In the world of wine reviews, evocative writing is key. Consider the following: "While the nose is a bit closed, the palate of this off-dry Riesling is chock full of juicy white grapefruit and tangerine flavors. It's not a deeply concentrated wine, but it's balanced neatly by a strike of lemon-lime acidity that lingers on the finish." Reading the description, you can almost feel the cool glass sweating in your hand and taste a burst of citrus on your tongue. But the author of this review never had that experience--because the author was a piece of software. An interdisciplinary group of researchers developed an artificial intelligence algorithm capable of writing reviews for wine and beer that are largely indistinguishable from those penned by a human critic.

Is it ethical to use AI-generated content without crediting the machine?


A team of researchers recently developed an algorithm that generates original reviews for wines and beers. Considering that computers can't taste booze, this makes for a curious use-case for machine learning. The AI sommelier was trained on a database containing hundreds of thousands of beer and wine reviews. In essence, it aggregates those reviews and picks out keywords. When the researchers ask it to generate its own review for a specific wine or beer, it generates something similar to previous reviews.

Guest Post: Ethics in AI Technology Integrations


Welcome back to our "Customer Service Heroes" series, where we invite inspiring customer service leaders to share their advice for running successful teams. Carolina Pinart is the AI Program Lead at Nestlé, the world's largest food and beverage company. Nestlé operates more than 2,000 brands across the globe spanning bottled water, petcare, chocolate and confectionary products, baby food, cereals, and more. In her role, Pinart is responsible for integrating emerging technologies into Nestlé's products and business operations. Many people look at Nestlé and strictly see a consumer packaged goods company.

12 Metrics For Chatbot Analytics You Must Track in 2022


Chatbots are not just the helpdesk assistants of the future, they are the helpdesks of the future. As a company that makes chatbots and has access to a tonne of data that repeatedly shows how chatbots are more effective than your typical customer service agent, we at Kommunicate believe that there will be only one channel of communication between you and your customers in the future -- chatbots. As more and more millennials become paying customers who prefer to talk to a computer rather than a real human being, adding a chatbot to your website is not just common sense, it is a matter of survival. But what if you already have a chatbot involved, which is taking care of all those customer conversations, doing a bit of lead generation for you, handling customer support, and even helping out the sales team. You must have got it all figured out and would now just have to sit back, sip iced tea (or coffee, if you prefer) and watch your business grow, right?

Model Evaluation in Scikit-learn


Scikit-learn is one of the most popular Python libraries for Machine Learning. It provides models, datasets, and other useful functions. In this article, I will describe the most popular techniques provided by scikit-learn for Model Evaluation. Model Evaluation permits us to evaluate the performance of a model, and compare different models, to choose the best one to send into production. There are different techniques for Model Evaluation, which depend on the specific task we want to solve.


AAAI Conferences

We present an overview of the control, recognition, decision-making, and learning techniques utilized by the Interaction Lab ( at the University of Southern California (USC) to enable autonomy in sociable and socially assistive robots. These techniques are implemented with two software libraries: 1) the Social Behavior Library (SBL) provides autonomous social behavior controllers; and 2) the Social Interaction Manager (SIM) provides probabilistic models to recognize, reason over, and learn about human behavior. Both libraries are implemented in the Robot Operating System (ROS;

AI, ML bubble to the top in new beverage-ordering solution


Did you miss a session from the Future of Work Summit? How your bottle of beer found its way into the fridge when you sat down last weekend to watch a football or basketball game on TV is hardly of consequence when you're looking to relax. What you know is that you picked up a six-pack at your local market, but the circuitous route it traveled and the IT used to activate the supply chain before you popped off the top will enlighten you. Anheuser-Busch InBev SA/NV, commonly known as AB InBev, is a multinational drink and brewing company based in Leuven, Belgium. The original InBev global brands are Budweiser, Corona, and Stella Artois.

Robotics in the Food and Beverage Industry: What's New in 2022


Alex Owen-Hill is a freelance writer and public speaker who blogs about a large range of topics, including science, presentation skills at, storytelling and (of course) robotics. He completed a PhD in Telerobotics from Universidad Politecnica de Madrid as part of the PURESAFE project, in collaboration with CERN. As a recovering academic, he maintains a firm foot in the robotics world by blogging about industrial robotics.