Although many roboticists today turn to nature to inspire their designs, even bioinspired robots are usually fabricated from non-biological materials like metal, plastic and composites. But a new experimental robotic manipulator from the Computational Robot Design and Fabrication Lab ( CREATE Lab) in EPFL's School of Engineering turns this trend on its head: its main feature is a pair of langoustine abdomen exoskeletons. Although it may look unusual, CREATE Lab head Josie Hughes explains that combining biological elements with synthetic components holds significant potential not only to enhance robotics, but also to support sustainable technology systems. "Exoskeletons combine mineralized shells with joint membranes, providing a balance of rigidity and flexibility that allows their segments to move independently. These features enable crustaceans' rapid, high-torque movements in water, but they can also be very useful for robotics. And by repurposing food waste, we propose a sustainable cyclic design process in which materials can be recycled and adapted for new tasks."

A new program trained on iPhone photos could curb food waste. Avocados have a carbon footprint that is three times higher than bananas. Breakthroughs, discoveries, and DIY tips sent every weekday. The days of buying a rock-tough avocado in the hopes of avoiding mushy food waste may soon be over. Machine learning researchers at Oregon State University (OSU) recently designed an artificial intelligence program that visually assesses avocado quality and ripeness .

This paper proposes a novel method for analyzing food retail processes with a focus on reducing food waste. The approach integrates object-centric process mining (OCPM) with stochastic process discovery and analysis. First, a stochastic process in the form of a continuous-time Markov chain is discovered from grocery store sales data. This model is then extended with supply activities. Finally, a what-if analysis is conducted to evaluate how the quantity of products in the store evolves over time. This enables the identification of an optimal balance between customer purchasing behavior and supply strategies, helping to prevent both food waste due to oversupply and product shortages.

Breakthroughs, discoveries, and DIY tips sent every weekday. A new type of 3D printer could help households do their part to reduce food waste while also producing some nifty household accessories. In 2019 alone, the US generated 66 million tons of food waste. The majority of that waste (60 percent) ended up in landfills. According to one EPA report, the carbon dioxide generated from food waste is equivalent to the emissions of 42 coal-fired power plants.

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. Americans are mad as hell about high food prices. They hate paying more at the supermarket even more than they hate paying more at the pump. Food inflation was arguably their main reason for President Donald Trump's win, and Trump's failure to reverse it (while imposing tariffs that accelerate it) is arguably the main reason for his sinking approval ratings. Cost-conscious consumers have been clipping more coupons, dining out less, buying more generic brands, and generally changing their grocery shopping habits to save money.

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.

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. The Retail Technologies team are working on our new software solution that is used directly by Retailers to identify and manage their inventory before it becomes food waste and further extending our expertise and in-store solutions beyond our marketplace supporting stores in managing their unsold and surplus products. We're more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste. We are looking for a Senior Data Engineer to be a part of our Product Teams that define, build and deliver our product features. Working in a product team means you will work towards specific outcomes with the freedom and responsibility to figure out the best route to achieve them together with the other Engineers and Product members of the Team.

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste. We're more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste. We are growing fast, with a community of 73 million users in 17 countries. Together, we have saved more than 200 million meals from going to waste since we started - but there's still a lot more we want to achieve We are looking for Machine Learning Engineer to be a part of our Product Teams that define, build and deliver our product features.

The secret behind the hi-tech future of sushi lies in an unremarkable building in the backstreets of Osaka. Inside, empty plastic cups and plates adorned with scrunched-up wet paper – to replicate the weight and texture of scallops – make their way along a conveyer belt. To one side, concealed behind a plastic screen, technicians monitor data on computer screens, the specifics of their work deemed off-limits to the Observer and a small group of journalists granted rare access to the development "studio" belonging to Sushiro, the leading force in Japan's multimillion dollar sushi train industry. This is where developers make incremental improvements to the restaurant chain's ability to deliver plates of freshly-made sushi to diners' tables with lightning speed, and stay one step ahead of the competition in a sector estimated to be worth 740bn yen (about £4bn). "In the past, diners used to take what they fancied from a free-for-all conveyer belt, but these days most people want to order their favourite sushi," said Masato Sugihara, deputy manager in the IT department at Sushiro's parent company, Food and Life.

This article was published as a part of the Data Science Blogathon. In today's world, where the population is increasing at an alarming rate, food waste has become a major issue. According to recent statistics, one-third of all food produced globally is wasted. This results in a significant loss of resources and contributes to environmental problems such as greenhouse gas emissions. The food waste problem is not only limited to developed countries but is also prevalent in developing countries. The Food and Agriculture Organization (FAO) estimates that food waste generates about 8% of global greenhouse gas emissions.