Food systems are responsible for a third of human-caused greenhouse gas emissions. We investigate what Large Language Models (LLMs) can contribute to reducing the environmental impacts of food production. We define a typology of design and prediction tasks based on the sustainable food literature and collaboration with domain experts, and evaluate six LLMs on four tasks in our typology. For example, for a sustainable protein design task, food science experts estimated that collaboration with an LLM can reduce time spent by 45% on average, compared to 22% for collaboration with another expert human food scientist. However, for a sustainable menu design task, LLMs produce suboptimal solutions when instructed to consider both human satisfaction and climate impacts. We propose a general framework for integrating LLMs with combinatorial optimization to improve reasoning capabilities. Our approach decreases emissions of food choices by 79% in a hypothetical restaurant while maintaining participants' satisfaction with their set of choices. Our results demonstrate LLMs' potential, supported by optimization techniques, to accelerate sustainable food development and adoption.

Four years ago in Mountain View, California, a team of robots was cranking out pizzas on a production line that was almost fully automated. The first robot pressed a ball of dough into a flat circle, a second squirted tomato sauce onto it, and a third spread the sauce over the whole crust. Then a human stepped in to add the toppings, but a fourth robot put the pizzas in the oven and a fifth sliced them up when they were done. That operation, called Zume Pizza, has since discontinued its pizza-making operations and shifted its focus to systems for food packaging, production, and delivery. But the idea of robots taking over repetitive food preparation work has only gained traction, especially in light of the Covid-19 pandemic.

Data science is revolutionizing many fields; from robotics to medicine, and everything in between. This revolution is partly due to advances in research, computing power, interests within the field, and the data science toolbox. Often, persons think of data science as extreme advances within artificial intelligence (AI); as in, eventually giving robots the ability to complete human-dominated tasks all on their own. As much as this could be an aspect of data science, it is not all there is to data science. Rather, AI is part of the data science toolbox.

Data science is revolutionizing many fields; from robotics to medicine, and everything in between. This revolution is partly due to advances in research, computing power, interests within the field, and the data science toolbox. Often, persons think of data science as extreme advances within artificial intelligence (AI); as in, eventually giving robots the ability to complete human-dominated tasks all on their own. As much as this could be an aspect of data science, it is not all there is to data science. Rather, AI is part of the data science toolbox.

I cannot put exact words on my frustration. I have been a Data Scientist for 3 years and I have been struggling for most of these 3 years to explain to my family what the purpose and day to day activities of my jobs are. First of all, my family only speaks French and Data Scientist does not translate fully to French. Officially, the French government proposed a translation: "expert en métadonnées". Spoiler Alert, it means nothing to anyone.

You've probably been to a supermarket that printed coupons for you at checkout. Or listened to a playlist that your streaming service generated for you. Or gone shopping online and seen a list of products labeled "you might be interested in…." that did indeed contain some stuff that you were interested in. Recommendation engines take data about you, similar consumers, and available products, and use that to figure out what you might be interested in and therefore deliver those coupons, playlists, and suggestions. Recommendation engines can be extremely complex.

You're presented with a list of options FEMAIL Food&Drink was the first to test out Lidl's new winebot feature on Facebook Messenger. I started by asking it for recommendations to pair with my dinner that evening: butternut squash ravioli with a simple tomato sauce. It immediately dished out some advice, writing: 'Lively, fruity reds are lovely with tomato-based pasta dishes. If you have a hint of chilli in there, try a Primitivo.' It also recommended two red wines from Lidl's collection.

Why you've been pouring ketchup the WRONG way: Scientist reveals the perfect technique to get every last drop out of the bottle Depending on how you pour your tomato sauce, you have been doing it wrong Melbourne scientist Dr Anthony Stickland has got tips for the perfect pour Dr Stickland is an expert in liquids and solids and how they flow He's found the perfect sauce flow speed and angle to pour from the bottle He's found the perfect sauce flow speed and angle to pour from the bottle You may have been pouring your tomato sauce wrong your whole life without knowing it. Perhaps it's a surprise that there's a correct technique - avoiding sauce explosions - for doing so but regardless, Melbourne scientist Dr Anthony Stickland has found out what it is. Melbourne University senior engineering lecturer - an expert in liquids and solids and how they flow - has revealed it's as easy as getting the right angle and flow speed, according to the Herald Sun. Vegan blogger Freelee the Banana Girl who credited her toned... 'Alcoholic' Iranian could be granted refugee status in... Vegan blogger Freelee the Banana Girl who credited her toned... 'Alcoholic' Iranian could be granted refugee status in... Dr Stickland's technique works for both plastic squeeze bottles and glass sauce bottles Fox Valley Mall forced to close as huge brawl breaks out Chaos as people rush out of NJ mall after reports of gunshots Grizzly bear attacks TV woman who recklessly tries to stroke it Tears of joy? Emotional moment boy learns his mum is pregnant Partygoers allegedly arrested at a'mixed' party in Jeddah Mayhem outside Fox Valley Mall as police make several arrests Hero dog saves his injured'girlfriend' on deadly railway track CAT ATTACK: Pet pounces on man as he opens Christmas present Self-driving car predicts horrific crash and slams on breaks Just beautiful! Tears of joy? Emotional moment boy learns his mum is pregnant Partygoers allegedly arrested at a'mixed' party in Jeddah Hero dog saves his injured'girlfriend' on deadly railway track SWAT teams dispatched, families flee from'gunfire' and... Star Wars actress Carrie Fisher dies aged 60 four days after... 'Step Up' actress, 46, who vanished on her way to Christmas... Carrie Fisher'relapsed' before European tour that ended in... 'How could they let him drink and smoke himself to death?'... 'He became a recluse because he couldn't bear people to see... Bikini-clad Ivanka Trump and shirtless husband Jared enjoy a... Health curse of the middle aged: 80% are now'overweight,... How Carrie Fisher's brutal wit and very public battles with...