Researchers from UNIST and Nanyang Technological University have developed a Thermally Regenerative Electrochemical Cycle (TREC) system, offering a novel approach to convert low-grade heat into…
View More Innovative Method to Efficiently Harvest Low-Grade Heat for EnergyAuthor: lutra
Beyond Entertainment: Serious Play at MIT’s Game Lab
The MIT Game Lab combines research and education to critically explore the gaming industry and its societal impact. It encourages students to think beyond games…
View More Beyond Entertainment: Serious Play at MIT’s Game LabHuGE AI Breakthrough: Using Crowdsourced Feedback in Robot Training
A novel reinforcement learning method, HuGE, developed by MIT, Harvard, and the University of Washington researchers, uses crowdsourced feedback to efficiently teach AI agents complex…
View More HuGE AI Breakthrough: Using Crowdsourced Feedback in Robot TrainingNew Discovery Could Make Organic Solar Cells Significantly More Efficient
A research team at the Technical University of Munich has made significant progress in organic solar cell technology by incorporating organic dyes. These dyes facilitate…
View More New Discovery Could Make Organic Solar Cells Significantly More EfficientSilk Meets Silicon: The Dawn of Biological Hybrid Transistors
A team at Tufts University’s Silklab has developed transistors using biological silk as the insulating material, allowing them to interact with the environment like living…
View More Silk Meets Silicon: The Dawn of Biological Hybrid TransistorsUnlocking Nature’s Fastest Timescales: Ultrafast Lasers Shrunk to Fingertip Size
A breakthrough in laser technology has been achieved by miniaturizing ultrafast mode-lock lasers onto nanophotonic chips, using thin-film lithium niobate. This advancement paves the way…
View More Unlocking Nature’s Fastest Timescales: Ultrafast Lasers Shrunk to Fingertip SizeFrom Pixels to Paradigms: MIT’s Synthetic Leap in AI Training
MIT’s StableRep system uses synthetic images from text-to-image models for machine learning, surpassing traditional real-image methods. It offers a deeper understanding of concepts and cost-effective…
View More From Pixels to Paradigms: MIT’s Synthetic Leap in AI TrainingThe Future of AI: Self-Learning Machines Could Replace Current Artificial Neural Networks
Scientists at the Max Planck Institute have devised a more energy-efficient method for AI training, utilizing physical processes in neuromorphic computing. This approach, diverging from…
View More The Future of AI: Self-Learning Machines Could Replace Current Artificial Neural NetworksHarnessing the Sea’s Hidden Energy: New Nano-Device Turns Seawater Into Electricity
A novel nanodevice developed by the University of Illinois Urbana-Champaign team can generate electricity from the salinity differences between seawater and freshwater, showing potential for…
View More Harnessing the Sea’s Hidden Energy: New Nano-Device Turns Seawater Into ElectricityThe Limits of AI: Why ChatGPT Isn’t Truly “Intelligent”
A new paper argues that AI’s intelligence, as seen in systems like ChatGPT, is fundamentally different from human intelligence due to its lack of embodiment…
View More The Limits of AI: Why ChatGPT Isn’t Truly “Intelligent”