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
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Texas A&M researchers are using AI to improve the management of disasters like hurricanes before, during and after the events.
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EPFL scientists have developed an AI-based technique to improve chemical analysis of nanomaterials, overcoming challenges of noisy data and mixed signals.
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Learn about some of the trends driving the use of technology in agriculture.
9 minutes read
Columbia Engineering wins a new grant from the National Oceanic and Atmospheric Administration to develop AI-system for sustainable waterways and ocean health
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Research Facility 2.0 (RF 2.0) is an EU-funded research project aimed at making the operation of particle accelerators and other large-scale facilities more resource-efficient.
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In this episode of the “This is Our Mission” podcast, Sean Hehir interviews Dr. Eric Gallo, a Senior Principal at Accenture Labs. They discuss the advantages of neuromorphic technology and its impact on edge computing, as well as advancements in SpaceTech.
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
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The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in unfamiliar environments.
EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems.
3 minutes read
Researchers have developed a platform for the interactive evaluation of AI-powered chatbots such as ChatGPT.
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If self-driving vehicles can navigate this complex road challenge safely, the learnings could help advance the safety of automated driving in urban scenarios.
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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.
BrainChip Audio Denoising solution uses Temporal Event Neural Networks (TENNs) to support better audio quality by removing unwanted voices.
