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In this episode, we talk about cutting vehicle emissions testing using IoT devices, creating shape memory textiles from recycled wool, and an initiative to develop hydrogen fuel cell powered airplanes.
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Computer Vision
featured
In this episode, we talk about cutting vehicle emissions testing using IoT devices, creating shape memory textiles from recycled wool, and an initiative to develop hydrogen fuel cell powered airplanes.
Featuredpodcast
In this episode, we talk about the first full-size soft tissue 3D printed heart, an AI algorithm that knows what music is best for you, and the newest weather-monitoring satellite.
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.
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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
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TAGGED WITH machine learning
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
TAGGED WITH motion capture systems
Latest Posts
In this episode, we talk about cutting vehicle emissions testing using IoT devices, creating shape memory textiles from recycled wool, and an initiative to develop hydrogen fuel cell powered airplanes.
In this episode, we talk about the first full-size soft tissue 3D printed heart, an AI algorithm that knows what music is best for you, and the newest weather-monitoring satellite.
with Xsens MVN Analyze
6 minutes read
AI for Mechanical Design, the Key to Thwarting Quantum Hackers, Making Better Batteries
How Embedded Machine Learning unblocks the potential of the currently unused enterprise data and enables a new wave of real-time, sustainable, and ROI generating applications.
The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
In this episode, we discuss Boom’s supersonic passenger jet prototype, how AI is being used to screen drugs for tuberculosis, and how 5G might be affecting your weather forecasts.
As children grow up in an increasingly connected world, it’s essential they understand not only the potential but also the inherent risks of emerging connected technologies.
3 minutes read
The next step in machine learning, how 3D printing will change the airline industry, and why flies hold the secret to robotic flight.
Xsens Launched MotionCloud At All Digital CES 2021
3 minutes read
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Duke team disentangles neural networks to understand how they see the world
Written by Dr Jason Konrath
3 minutes read
A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
14 minutes read
With Xsens
5 minutes read
