Abstract: The Mecanum wheel car (MWC) is increasingly becoming the mainstream automated guided vehicle (AGV) in factory automation, replacing traditional transport vehicles due to its flexibility and ...
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Inspired by the Japanese art of kirigami, an MIT team has designed a technique that could transform flat panels into medical devices, habitats, and other objects without the use of tools.
Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...
Turns out the factory of the future doesn't just need a software update... it needs a crash mat. Hangzhou-based Unitree Robotics says it will ship up to 20,000 humanoid robots in ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
When building AI, you change many things at once: code, data, prompts, models. After a few runs, it becomes unclear what actually caused results to improve or regress. LitLogger records every run as ...
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
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