Traditional processors are inefficient in certain contexts, wasting energy on data movement rather than computation. As a result, the industry is shifting focus to maximizing performance per watt, highlighting the need to rethink compute architecture to meet real-world constraints.
Traditional processors are inefficient in certain contexts, wasting energy on data movement rather than computation. As a result, the industry is shifting focus to maximizing performance per watt, highlighting the need to rethink compute architecture to meet real-world constraints.
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
AI is transforming engineering by enabling professionals to express system development goals in natural language, which AI can then convert into code, designs, or strategies. This shift is democratizing access to advanced engineering tools and boosting productivity.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.
A deep-dive listicle guiding controls, automation, and quality engineers toward the best vision systems for manufacturing applications in 2026.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Traditional processors are inefficient in certain contexts, wasting energy on data movement rather than computation. As a result, the industry is shifting focus to maximizing performance per watt, highlighting the need to rethink compute architecture to meet real-world constraints.
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
AI is transforming engineering by enabling professionals to express system development goals in natural language, which AI can then convert into code, designs, or strategies. This shift is democratizing access to advanced engineering tools and boosting productivity.
What if electrons aren't the future of AI computation? What if photons could shoulder the load?
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.
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Though artificial intelligence has become nearly ubiquitous, from smartphones to chatbots to self-driving cars, its impact on health care so far has been relatively low.
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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.
New research studying shape memory alloys with AI may allow fighter jets to transform into the future with the help of new materials.
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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.
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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.
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