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
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A.I.
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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.
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.
4 minutes read
If self-driving vehicles can navigate this complex road challenge safely, the learnings could help advance the safety of automated driving in urban scenarios.
2 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.
BrainChip Audio Denoising solution uses Temporal Event Neural Networks (TENNs) to support better audio quality by removing unwanted voices.
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.
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Introducing the Engineering the Quantum Future Series: Quantum computing redefines our approach to complex challenges, expanding the scope of what's possible across multiple disciplines.
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.
