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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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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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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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 3D-Print Miniature Vacuum Pump
Massachusetts Institute of Technology researchers three-dimensionally (3D)-printed a miniature peristaltic pump, in a step toward producing inexpensive mobile mass...
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Four-Legged Robotic System for Playing Soccer on Various Terrains
The four-legged DribbleBot robot developed by Massachusetts Institute of Technology researchers can dribble soccer balls using onboard sensors, computing, and reinforcement...
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Scientists Use Computational Modeling to Design 'Ultrastable' Materials
A new computational model may be used to predict which metal-organic framework structures will be most stable for a given application.
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Augmented Reality Headset Enables Users to See Hidden Objects
Massachusetts Institute of Technology researchers have combined computer vision and wireless perception into X-AR, an augmented reality (AR) headset that can visualize...
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Engineers Discover Way to Control Atomic Nuclei as 'Qubits'
MIT engineers have formulated a method of controlling the spins of atomic nuclei as quantum bits using two different-colored laser beams.
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Ingestible Sensor Could Help Doctors Pinpoint GI Difficulties
An ingestible sensor can be monitored as it travels through the digestive tract, helping doctors to diagnose gastrointestinal ailments more precisely.
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AI Model Can Detect Future Lung Cancer Risk
A new artificial intelligence tool can perform lung cancer risk assessments without the help of a radiologist.
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Computational System Streamlines Design of Fluidic Devices
Massachusetts Institute of Technology researchers were part of a team that built a new system to simplify the process of designing fluidic devices.
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Engineers Build Battery-Free, Wireless Underwater Camera
Massachusetts Institute of Technology engineers have developed a battery-free, wireless underwater camera.
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Using AI to Control Digital Manufacturing
An international team of researchers taught a machine learning system with computer vision to monitor and control three-dimensional printing in real time.
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Model Helps Identify Mutations That Drive Cancer
Researchers created a probabilistic computer model that rapidly scans the genome of cancer cells to identify cancer-driving mutations.
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