In this episode, we explore how Robuscope is reimagining the future of AI testing, offering groundbreaking solutions for improving the accuracy and reliability of artificial intelligence systems.
12 minutes read
Tagged with
machine learning
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Manufacturing Futures Institute leaders, researchers, and partners draw national conference to Pittsburgh.
2 minutes read
RISC-V: introducing new paradigms to the world of hardware design with software-focused hardware.
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications.
2 minutes read
McKelvey’s Chien-Ju Ho working with Art & Sciences’ Wouter Kool, DCDS PhD student Lauren Treiman to understand how human behavior changes in training AI
3 minutes read
Moving Your ML Proof of Concept to Production Part 1: From Business Goals to ML Metrics
Researchers at Fraunhofer Institute have developed a free, online tool for testing the robustness of AI models
2 minutes read
The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in unfamiliar environments.
Researchers have developed a platform for the interactive evaluation of AI-powered chatbots such as ChatGPT.
4 minutes read
The moonshot of many roboticists is cooking up the proper hardware and software combination so that a machine can learn “generalist” policies (the rules and strategies that guide robot behavior) that work everywhere, under all conditions.
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.
