Featuredpodcast
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
Be the first to know.
Get our Computer Vision weekly email digest.
Computer Vision
podcast
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
Featured
MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
Featured
The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.
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.
View more
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
View more
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 how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
4 minutes read
The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.
Columbia Engineers build a robot that learns to understand itself, rather than the world around it
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
3 minutes read
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
Metasphere’s ART Sewer wastewater and sewerage spill monitoring solution combines cellular IoT and AI/machine learning (ML) to protect freshwater and marine ecosystems in a way that Metasphere says hasn’t been commercially or technologically viable until now.
4 minutes read
In this episode, we talk about how robotic dogs might be the next best astronauts as they are well-equipped to explore the Moon’s unforgiving terrain, and about a framework for launching swarms of robots into warehouses to get work done better, safer, and more efficiently.
According to research from analyst GWI, while consumers still consider fitness tracking the leading reason for owning a wearable, nearly half of all owners also expect their wearable to monitor their health.
3 minutes read
Researchers have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks.
3 minutes read
To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions.
4 minutes read
with Xsens
4 minutes read
How retail uses IoT, AI, Computer Vision, VR, and AR to transform into an automated, data-rich, and highly personalized environment.
9 minutes read
In this episode, we talk about how an app leveraging 3 sets of machine learning algorithms aims to reduce waste and emissions by creating 3D models of feet and the hoverfly inspired AI that will be keeping airfields safe from small drones via acoustic mapping and filtering.
with Xsens MVN Analyze
7 minutes read
