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
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Computing
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DLR and Rolls-Royce Deutschland are developing more climate-compatible aircraft engines.
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Article #6 of Engineering the Quantum Future Series: Quantum computing brings groundbreaking tech advances and ethical challenges, requiring frameworks for secure and fair use.
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Article #4 of Engineering the Quantum Future Series: Interconnected quantum processors link multiple quantum units to enhance system-wide performance, enabling breakthroughs in computing speed and efficiency across diverse scientific fields.
Article #3 of Engineering the Quantum Future Series: Quantum computing advances energy optimization by enabling real-time grid management, precise simulation, optimization of energy systems, and facilitating the integration of renewable sources.
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.
Article #1 of Engineering the Quantum Future Series: Quantum computing extends beyond classical binary limits by utilizing qubits, which can exist in multiple states simultaneously, enabling exponentially faster and more complex computations.
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.
I3C is becoming a strong alternative to I2C. Learn about the main differences, benefits, and uses of these two important communication protocols. Explore the world of inter-integrated circuit communication and see which protocol is best for your next project.
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.
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