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In this episode, we talk about how perfectly tuning the curiosity of an AI results in more efficient and robust models.
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Computer Vision
podcast
In this episode, we talk about how perfectly tuning the curiosity of an AI results in more efficient and robust models.
Featured
Producing chirality, a property found throughout nature, through large-scale self-assembly could lead to applications in sensing, machine perception and more.
Featured
Datacation is a startup in a technology area so advanced it can't even be called 'next-generation'. Perhaps 'next next gen' because so far we don't know all the possible business applications of machine learning and AI, nor do we know the limits.
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!
Top Vision Systems for Manufacturing in 2026
By Muhammad Sufyan.
11 minutes read.
Machine Vision Systems: Components, AI Integration & Selection Guide
By Muhammad Sufyan.
16 minutes read.
GDDR6 vs GDDR7: A Technical Comparison of Graphics Memory
By Ramsha Jawaid.
14 minutes read.
TPU vs GPU: A Comprehensive Technical Comparison
By Umar Waseem.
14 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
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.
TAGGED WITH motion capture systems
With Xsens Indie Program
Latest Posts
In this episode, we talk about how perfectly tuning the curiosity of an AI results in more efficient and robust models.
Producing chirality, a property found throughout nature, through large-scale self-assembly could lead to applications in sensing, machine perception and more.
4 minutes read
Datacation is a startup in a technology area so advanced it can't even be called 'next-generation'. Perhaps 'next next gen' because so far we don't know all the possible business applications of machine learning and AI, nor do we know the limits.
7 minutes read
Digital transformation and the Industrial Internet of Things (IIoT) continue to impact industry at all levels. While it's seen its earliest adoption in large-scale manufacturing and transport, it's spreading rapidly into other sectors.
Axl Chen is the founder and CEO of Surplex, a new full-body tracking technology company aiming to change the gaming industry and professional sports.
Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying.
Article #5 of the "Why Edge?" Series Moving Computer Vision to the Edge offers advantages in security and latency.
Curiosity drives artificial intelligence to explore the world, now in boundless use cases — autonomous navigation, robotic decision-making, optimizing health outcomes, and more.
Matroid's deep-learning system comprising of 3D-CNN helps to automatically detect Glaucoma from a single raw Optical Coherence Tomography (OCT) scan. The results are close to human doctors across heterogeneous datasets and scanning environments.
ML at the edge is the main target in many IoT applications today. Learn why it is important to build energy-efficient embedded devices, and how to achieve it using cutting-edge technologies.
Newly developed method does it all with just a few pixels
In this episode, we talk about how a machine learning algorithm that can predict what sequence of actions a volleyball player will take next is being used to create more effective human/machine interactions for safer autonomy in our lives.
Article #4 of the Enabling IoT Series. Industrial enterprises are moving to a new approach to asset management, namely predictive maintenance by leveraging powerful new sensors and data.
By Using Movella’s Xsens Motion Capture Technology
3 minutes read
In this episode, we discuss how a wearable based sensing platform developed by MIT can provide detailed information about a user’s muscle activity and enable virtual physical therapy to increase access for this vital practice.
