Columbia Engineering wins a new grant from the National Oceanic and Atmospheric Administration to develop AI-system for sustainable waterways and ocean health
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.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Columbia Engineering wins a new grant from the National Oceanic and Atmospheric Administration to develop AI-system for sustainable waterways and ocean health
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.
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.
EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems.
Imagine an industrial plant where machines autonomously predict maintenance needs and optimize operations. Such efficiency is powered by IoT architecture. This guide breaks down the layers of IoT, from sensors collecting data to intelligent apps providing insights.
If self-driving vehicles can navigate this complex road challenge safely, the learnings could help advance the safety of automated driving in urban scenarios.
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.
Article #2 of Engineering the Quantum Future Series: Recent breakthroughs in quantum computing made substantial strides, driving closer to practical applications that could revolutionize industries by solving complex computational problems more efficiently.