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MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
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MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Featured
Even if you’re not very familiar with deep learning, you’ve probably heard about it and how it can, among other things, help automate the driving experience, increase manufacturing efficiency and change the consumer shopping experience.
Featured
Integrating AI and Digital Tools Beyond Digital Transformation.
Engineers Wiki. Most Asked Questions.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
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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
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Even if you’re not very familiar with deep learning, you’ve probably heard about it and how it can, among other things, help automate the driving experience, increase manufacturing efficiency and change the consumer shopping experience.
Integrating AI and Digital Tools Beyond Digital Transformation.
6 minutes read
CUDA Cores and Tensor Cores are specialized units within NVIDIA GPUs; the former are designed for a wide range of general GPU tasks, while the latter are specifically optimized to accelerate AI and deep learning through efficient matrix operations.
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Researchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
3 minutes read
In a broad sense, "machine vision" refers to the utilization of visual information and optical information using digital technologies.
6 minutes read
In this episode, we discuss how 2 Carnegie Mellon University graduate students developed an AI system capable of giving you feedback on your interview performance in real time!
14 minutes read
The method, which combines a ChatGPT-like large language model with information about a protein’s 3D shape, could make it easier and faster to develop better medicines for infectious diseases, cancer, and other conditions.
4 minutes read
Silicon Valley students use AI to help job seekers improve performance and build confidence.
3 minutes read
Improved occupational health and safety can enhance productivity by 46% and boost employee well-being. To address these opportunities, Xsens is launching a crash course on topics like injury risk reduction, regulation compliance, and the positive influence of safer workspaces.
2 minutes read
The upcoming "Machine Learning for Safety Experts" training by SAE and Fraunhofer IKS in Munich on October 22-23, 2024 is a timely initiative. It will address this crucial skill gap and ensure engineers are well-equipped to handle the intricacies of safe Machine Learning applications.
Someday, you may want your home robot to carry a load of dirty clothes downstairs and deposit them in the washing machine in the far-left corner of the basement. The robot will need to combine your instructions with its visual observations to determine the steps it should take to complete this task.
In this episode, we discuss research coming out of the Karlsruhe Institute of Technology to detect the emotions of tennis players better than humans can!
13 minutes read
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
