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Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
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Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
Featured
EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
Featured
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
Engineers Wiki. Most Asked Questions.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
NPU vs GPU: Understanding the Key Differences and Use Cases
By Ravi Rao.
13 minutes read.
RAG vs Fine-Tuning: Differences, Benefits, and Use Cases Explained
By Ravi Rao.
18 minutes read.
LLM Training: Mastering the Art of Language Model Development
By Ravi Rao.
30 minutes read.
ORGANIZATIONS. SHAPING THE INDUSTRY.
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
43 Posts
TAGGED WITH machine learning
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
TAGGED WITH motion capture systems
with Xsens motion capture
Latest Posts
Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
3 minutes read
EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
3 minutes read
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
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.
