Most Europeans have a unique idea about what Americans look like in each US state, and artificial intelligence has brought these views to life in lifelike images. Mdjourney, a system that creates images based on users' text prompts, created an image for each of the 50 states based on how those across the Atlantic perceive them. According to AI, Europeans think Alabamians typically have missing teeth, all Utahans are Mormons and Virginians are stuck in the Victorian era. While some images are far-fetched, they offer insight into potential biases and stereotypes in AI technology. According to AI, Europeans perceive Alabamians as being very rugged-looking, with blue eyes and a few teeth missing in their mouths, according to BuzzFeed.

A new artificial intelligence chatbot is proving invaluable for farmers struggling to overcome modern agricultural challenges, with food and climate experts seeing the technology as key in dealing with food insecurity caused by the challenges of global heating and the Ukraine war. Ismail Serageldin, former vice president of the World Bank, said at a meeting of corporate, academic and political leaders in Tokyo that he has high hopes that AI app Farmer.CHAT will bring a significant change to producers who work marginal lands. AI-powered chatbots are expected to quickly transform agriculture and food systems to be more resilient and sustainable by assisting in the development of drought-resistant crops, early-warning systems against climate change-driven weather disasters and sustainable land management systems.

Autonomous farm robots guided by GPS can plant and harvest multiple crops in close proximity, enabling beneficial interactions between different plants and potentially boosting biodiversity. Strip cropping, which involves partitioning fields into narrow bands containing different plants, is a common farming practice. Now, robotic technology is making it possible to space crops closer together than ever before. Kit Franklin at Harper Adams University, UK, who is working on trials of this method, says one can think of it as taking the diverse planting approach that an allotment gardener might and scaling it up massively with autonomous machinery. This could enable commercial farms to stop planting vast, non-biodiverse fields and reap the benefits of mingling plants with different needs and mutually beneficial habits, he says.

Autonomous farm robots guided by GPS can plant and harvest multiple crops in close proximity, enabling beneficial interactions between different plants and potentially boosting biodiversity. Strip cropping, which involves partitioning fields into narrow bands containing different plants, is a common farming practice. Now, robotic technology is making it possible to space crops closer together than ever before. Kit Franklin at Harper Adams University, UK, who is working on trials of this method, says one can think of it as taking the diverse planting approach that an allotment gardener might and scaling it up massively with autonomous machinery. This could enable commercial farms to stop planting vast, non-biodiverse fields and reap the benefits of mingling plants with different needs and mutually beneficial habits, he says.

There is growing hope that Japan will benefit from so-called smart agriculture, which taps robot and information technology to save labor and reduce farming workloads, and could address farmer aging and shortages that overshadow the nation's agricultural sector. The Agriculture, Forestry and Fisheries Ministry hopes efficient production will be adopted nationwide to help maintain Japan's agricultural production capacity, officials have said. In the city of Fukaya in Saitama Prefecture, known for its "Fukaya Negi" high-quality green onions, an automated robot uses an 8-meter-long arm to spray agricultural chemicals as it travels between rows of green onions in a large field.

This copy is for your personal, non-commercial use only. For non-personal use or to order multiple copies, please contact Dow Jones Reprints at 1-800-843-0008 or visit www.djreprints.com.

How do you find an elusive animal that most people have never even seen dead in a fish market? Matthew McDavitt, above, knows how.Melody Robbins This story was originally published by Hakai Magazine and is reproduced here as part of the Climate Desk collaboration. Peter Kyne sits down at his desk to write a eulogy for a fish he's never met. No scientist has seen signs of the critically endangered Rhynchobatus cooki, or clown wedgefish, since a dead one turned up at a fish market in 1996. Kyne, a conservation biologist at Charles Darwin University in Australia who studies wedgefish, has worked only with preserved specimens of the spotted sea creature. "This thing's dust," Kyne thinks, feeling defeated as he writes the somber news in a draft assessment of the global conservation status of wedgefish species for the International Union for Conservation of Nature. Wedgefish are a type of ray.

The Workshop Program of the Association for the Advancement of Artificial Intelligence's 37th Conference on Artificial Intelligence (AAAI-23) was held in Washington, DC, USA on February 13-14, 2023. There were 32 workshops in the program: AI for Agriculture and Food Systems, AI for Behavior Change, AI for Credible Elections: A Call to Action with Trusted AI, AI for Energy Innovation, AI for Web Advertising, AI to Accelerate Science and Engineering, AI4EDU: AI for Education, Artificial Intelligence and Diplomacy, Artificial Intelligence for Cyber Security (AICS), Artificial Intelligence for Social Good (AI4SG), Artificial Intelligence Safety (SafeAI), Creative AI Across Modalities, Deep Learning on Graphs: Methods and Applications (DLG-AAAI'23), DEFACTIFY: Multimodal Fact-Checking and Hate Speech Detection, Deployable AI (DAI), DL-Hardware Co-Design for AI Acceleration, Energy Efficient Training and Inference of Transformer Based Models, Graphs and More Complex Structures for Learning and Reasoning (GCLR), Health Intelligence (W3PHIAI-23), Knowledge-Augmented Methods for Natural Language Processing, Modelling Uncertainty in the Financial World (MUFin'23), Multi-Agent Path Finding, Multimodal AI for Financial Forecasting (Muffin), Multimodal AI for Financial Forecasting (Muffin), Privacy-Preserving Artificial Intelligence, Recent Trends in Human-Centric AI, Reinforcement Learning Ready for Production, Scientific Document Understanding, Systems Neuroscience Approach to General Intelligence, Uncertainty Reasoning and Quantification in Decision Making (UDM'23), User-Centric Artificial Intelligence for Assistance in At-Home Tasks, and When Machine Learning Meets Dynamical Systems: Theory and Applications. This report contains summaries of the workshops, which were submitted by some, but not all of the workshop chairs. An increasing world population, coupled with finite arable land, changing diets, and the growing expense of agricultural inputs, is poised to stretch our agricultural systems to their limits. By the end of this century, the earth's population is projected to increase by 45% with available arable land decreasing by 20% coupled with changes in what crops these arable lands can best support; this creates the urgent need to enhance agricultural productivity by 70% before 2050.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Russian drones on Wednesday hit a Ukrainian port city along the border with Romania, causing significant damage and a huge fire at facilities that are key to Ukrainian grain exports. The attacks followed the end of a deal with Russia that had allowed Ukrainian shipments to world markets from the Black Sea port of Odesa. Since scrapping the deal, Russia has hammered the country's ports with strikes, compounding the blow to the key industry.

Winnow CEO Marc Zornes and Iberostar Group's Dr. Megan Morikawa discuss how artificial intelligence can target food waste in commercial kitchens -- and improve both business efficiency and global sustainability. Food waste makes up an estimated 30% to 40% of the food supply, according to the U.S. Department of Agriculture -- and now a London company is using artificial intelligence in an attempt to address the problem. Winnow, a food waste solution company, has developed an AI-powered system that aims to reduce food waste in commercial kitchens worldwide. CEO Marc Zornes said the company's tech can measure the foods that get tossed daily using machine learning and a camera. "We use computer vision to identify what's being wasted in real time, literally as the food's being thrown away," he told Fox News Digital in an interview.