Communications of the ACM
Multimodal AI Connects the Digital Dots
By knitting together multiple components and data streams, multimodal AI offers the promise of smarter, more human-like systems… From ACM NewsAn edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.
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Crowdsourced Feedback Helps Train Robots
A reinforcement learning approach trains robots using crowdsourced feedback from nonexpert users.
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Synthetic Imagery Sets New Bar in AI Training Efficiency
A team of researchers demonstrated that training machine learning models with synthetic images can outperform traditional training methods using real images.
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Engineers Are on a Failure-Finding Mission
An algorithm developed by Massachusetts Institute of Technology researchers aims to identify potential failures in simulated autonomous systems prior to their real...
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Using Language to Give Robots a Better Grasp of Open-Ended World
The Feature Fields for Robotic Manipulation method helps robots identify nearby objects by forming three-dimensional scenes from two-dimensional images and vision...
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Making Genetic Prediction Models More Inclusive
Computer scientists created a more inclusive, more accurate genetic prediction model by using computational and statistical techniques to study individuals' unique...
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Shape-Shifting Fiber Produces Morphing Fabrics
The FibeRobo programmable fiber can change shape in response to temperature changes.
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Study Decodes Surprising Approach Mice Take in Learning
Neuroscientists studied the behavior of mice in a learn-reward situation, with the aim of teaching the mice to turn a wheel left or right to receive a reward.
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Helping Computer Vision, Language Models Understand What They See
Massachusetts Institute of Technology and other researchers developed a technique that uses computer-generated data to help vision and language models better understand...
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ML System Based on Light Could Yield More Powerful, Efficient LLMs
A team of researchers has developed a light-based machine learning system that could surpass the system behind ChatGPT in terms of power and efficiency, while also...
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Superconducting Device Could Dramatically Cut Energy Use in Computing, Other Applications
A simple superconducting device developed by MIT researchers could help achieve significant reductions in energy usage by high-power computing systems and potentially...
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A New Way to Look at Data Privacy
A new metric allows a small amount of noise to be added to models to protect sensitive data while maintaining the model's accuracy.
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Computer Vision That Works More Like a Brain Sees More Like People Do
Massachusetts Institute of Technology researchers trained an artificial neural network to function like the brain's inferior temporal cortex to improve computer...
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Researchers Grow Precise Arrays of nanoLEDs
A new technique produces perovskite nanocrystals right where they are needed, so the exceedingly delicate materials can be integrated into nanoscale devices.
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Researchers Develop New Source of Quantum Light
The device emits a stream of single photons and could provide a basis for optical quantum computers.
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Atlas of Human Brain Blood Vessels Highlights Changes in Alzheimer's Disease
Scientists created a molecular atlas of human brain blood vessels to highlight Alzheimer's disease-related changes across six regions.
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Probabilistic AI That Knows How Well It's Working
A new technique produces artificial intelligence (AI) inference algorithms that can generate explanations for data and calculate their accuracy.
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3-D Printing Strengthens Material for Energy and Propulsion Applications
A research team led by engineers at MIT developed a new 3D printing method for strengthening materials.
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Finding 'Hot Spots' Where Compounding Environmental, Economic Risks Converge
A new computational tool can pinpoint U.S. counties prone to economic strain from switching to low-carbon energy sources from fossil fuels.
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Training Machines to Learn More Like Humans Do
Scientists found computer vision models can be trained to produce more stable, predictable visual representations, similar to those humans learn through perceptual...
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