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Researchers are shortcutting complex equations with AI, paving the way for engineering and scientific breakthroughs.
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featured
Researchers are shortcutting complex equations with AI, paving the way for engineering and scientific breakthroughs.
Featured
The CodeSteer system could boost large language models' accuracy when solving complex problems, such as scheduling shipments in a supply chain.
Featured
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
Engineers Wiki. Most Asked Questions.
Unsupervised learning is a machine learning approach that finds patterns, structure, or useful representations in unlabeled data. It groups similar observations, compresses high-dimensional features, detects outliers, discovers item relationships, and supports modern representation learning.
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Latest Posts
Researchers are shortcutting complex equations with AI, paving the way for engineering and scientific breakthroughs.
The CodeSteer system could boost large language models' accuracy when solving complex problems, such as scheduling shipments in a supply chain.
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
Texas A&M researchers received a grant from the U.S. Army Research Laboratory to address the limitations of applying artificial intelligence tools in military scenarios.
3 minutes read
Article #6 of Confronting AI Series: AI's rapid evolution has outpaced regulation. In this Q&A, Jared Bowns explores how adaptive frameworks, accountability, and ethical oversight can help engineers manage the risks and responsibilities of building trustworthy AI systems.
Article #5 of Confronting AI Series: Smart ML on embedded systems demands efficiency under tight memory, compute, and latency constraints. Techniques like pruning, quantization, low-rank decomposition, and federated learning enable compact, fast, and reliable models for edge intelligence.
The PhysicsGen system, developed by MIT researchers, helps robots handle items in homes and factories by tailoring training data to a particular machine.
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the "Alps" supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
4 minutes read
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Article #4 of Confronting AI Series: AI's rapid rise brings transformative potential and serious risks; without transparency, regulation, education, and justice, unchecked deployment may entrench bias, erode trust, and harm society more than it helps.
Vision-driven, multi-arm robotics are set to transform the factory itself into a configurable product, capable of switching from one assembly task to the next with a software update instead of a hardware rebuild. Learn more now in our latest report.
A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of complex alpine mass movements, supporting alpine risk management.
6 minutes read
Article #3 of Confronting AI Series: Discover how data centers tackle AI's surging energy needs, from renewable energy adoption to advanced cooling technologies and sustainable practices for a greener, smarter future.
Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
