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Snap a photo of your meal, and artificial intelligence instantly tells you its calorie count, fat content, and nutritional value—no more food diaries or guesswork.

This futuristic scenario is now much closer to reality, thanks to an AI system developed by NYU Tandon School of Engineering researchers that promises a new tool for the millions of people who want to manage their weight, diabetes and other diet-related health conditions.

The technology, detailed in a paper presented at the 6th IEEE International Conference on Mobile Computing and Sustainable Informatics, uses advanced deep-learning algorithms to recognize food items in images and calculate their nutritional content, including calories, protein, carbohydrates and fat.

With rapid technological advances, social media has become an everyday form of human social interactions. For the first time in evolutionary history, people can now interact in virtual spaces where temporal, spatial, and embodied cues are decoupled from one another. What implications do these recent changes have for socio-cognitive phenotypes and mental disorders? We have conducted a systematic review on the relationships between social media use and mental disorders involving the social brain. The main findings indicate evidence of increased social media usage in individuals with psychotic spectrum phenotypes and especially among individuals with disorders characterized by alterations in the basic self, most notably narcissism, body dysmorphism, and eating disorders.

In an amazing achievement akin to adding solar panels to your body, a northeast sea slug sucks raw materials from algae to provide its lifetime supply of solar-powered energy, according to a study by Rutgers University–New Brunswick and other scientists.

“It’s a remarkable feat because it’s highly unusual for an animal to behave like a plant and survive solely on photosynthesis,” said Debashish Bhattacharya, senior author of the study and distinguished professor in the Department of Biochemistry and Microbiology at Rutgers–New Brunswick. “The broader implication is in the field of artificial photosynthesis. That is, if we can figure out how the slug maintains stolen, isolated plastids to fix carbon without the plant nucleus, then maybe we can also harness isolated plastids for eternity as green machines to create bioproducts or energy. The existing paradigm is that to make green energy, we need the plant or alga to run the photosynthetic organelle, but the slug shows us that this does not have to be the case.”

The sea slug Elysia chlorotica, a mollusk that can grow to more than two inches long, has been found in the intertidal zone between Nova Scotia, Canada, and Martha’s Vineyard, Massachusetts, as well as in Florida. Juvenile sea slugs eat the nontoxic brown alga Vaucheria litorea and become photosynthetic – or solar-powered – after stealing millions of algal plastids, which are like tiny solar panels, and storing them in their gut lining, according to the study published online in the journal Molecular Biology and Evolution.

A new device produces ammonia from air and wind energy, offering a sustainable alternative to fossil fuel-dependent methods for agriculture and clean energy applications.

The air we breathe holds the key to more sustainable agriculture, thanks to an innovative breakthrough by researchers at Stanford University and King Fahd University of Petroleum and Minerals in Saudi Arabia. They have created a prototype device that uses wind energy to extract nitrogen from the air and convert it into ammonia—a critical ingredient in fertilizer.

If fully developed, this method could replace the traditional process of producing ammonia, which has been in use for over a century. The conventional method combines nitrogen and hydrogen at high pressures and temperatures, consuming 2% of the world’s energy and generating 1% of annual carbon dioxide emissions due to its reliance on natural gas. This new approach offers a cleaner, more energy-efficient alternative.

Abstract

Agriculture is a sector that plays a crucial role in ensuring food security and sustainable development. However, traditional agriculture practices face challenges such as inefficient irrigation methods and lack of real-time monitoring, leading to water waste and reduced crop yield. Several systems that attempt to address these challenges exist, such as those based on Wi-Fi, Bluetooth, and 3G/4G cellular technology; but also encounter difficulties such as low transmission range, high power consumption, etc. To address all these issues, this paper proposes a smart agriculture monitoring and automatic irrigation system based on LoRa. The system utilizes LoRa technology for long-range wireless communication, Blynk platform for real-time data visualization and control, and ThingSpeak platform for data storage, visualization, and further analysis. The system incorporates multiple components, including a sensor node for data collection, a gateway for data transmission, and an actuator node for irrigation control. Experimental results show that the proposed system effectively monitors collected data such as soil moisture levels, visualizes data in real time, and automatically controls irrigation based on sensor data and user commands. The system proposed in this study provides a cost-effective and efficient solution for sustainable agriculture practices.

Smart Agriculture, Internet of Things, LoRa, Power Consumption, Real-Time Monitoring.

Princeton University and Xiamen University researchers report that in tropical and subtropical oligotrophic waters, ocean acidification reduces primary production, the process of photosynthesis in phytoplankton, where they take in carbon dioxide (CO2), sunlight, and nutrients to produce organic matter (food and energy).

A six-year investigation found that eukaryotic phytoplankton decline under high CO2 conditions, while cyanobacteria remain unaffected. Nutrient availability, particularly nitrogen, influenced this response.

Results indicate that ocean acidification could reduce primary production in oligotrophic tropical and subtropical oceans by approximately 10%, with global implications. When extrapolated to all affected low-chlorophyll ocean regions, this translates to an estimated 5 billion metric tons loss in global oceanic primary production, which is about 10% of the total carbon fixed by the ocean each year.

#learningwithoutboundaries.

Prof. Mitch LI’s team from the Division of Integrative Systems and Design (ISD) was cordially invited to be the guest speaker of “Members’ Day: Sci-Fi or not?”, organized by Hong Kong Science Museum on Mar 28, 2024 to showcase the innovative 3D food printing technology.

Shanghai’s robotics revolution is here! At a cutting-edge startup, humanoid robots are being trained to navigate the real world-learning tasks from sorting objects to taking coffee. But how does Al collect and refine the data that powers these machines? We got access to a 2,000-square-meter data factory, where robots are trained through motion capture, human guidance, and real-world simulations. With China’s tech and supply chain advantages, could these humanoids become part of our daily lives sooner than we think? #HumanoidRobots #Al #FutureTech.
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What do albatrosses searching for food, stock market fluctuations, and the dispersal patterns of seeds in the wind have in common?

They all exhibit a type of movement pattern called Lévy walk, which is characterized by a flurry of short, localized movements interspersed with occasional, long leaps. For living organisms, this is an for balancing the exploitation of nearby resources with the exploration of new opportunities when the distribution of resources is sparse and unknown.

Originally described in the context of particles drifting through liquid, Lévy walk has been found to accurately describe a very wide range of phenomena, from cold atom dynamics to swarming bacteria. And now, a study published in Complexity has for the first time found Lévy walk in the movements of competing groups of organisms: soccer teams.