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Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...
Northwestern's McCormick School of Engineering1h
CS Senior Spotlight: Marko Veljanovski
Continuing his passion for research, Veljanovski will begin a PhD in computer science at the University of Michigan this fall ...
Apple Research Questions AI Reasoning Models Just Days Before WWDC
A newly published Apple Machine Learning Research study has challenged the prevailing narrative around AI "reasoning" ...
Modeling electric response of materials, a million atoms at a time
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials ...
Higher Ed’s AI Evolution Starts With Asking The Right Questions
Pearson finds 1 in 5 students use AI for higher-order thinking. These moments are shaped—and either encouraged or constrained ...
Interesting Engineering on MSN4d
MIT’s new tech enables robots to act in real time, plan thousands of moves in seconds
MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.
World’s First Self Improving Coding AI Agent : Darwin Godel Machine
Discover the Darwin Godel Machine, the world’s first self-improving AI that evolves its coding skills autonomously. Learn how ...
Visual Studio Magazine6d
Linear Support Vector Regression Using C# with Particle Swarm Training
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.