In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...
Poster Presentation at the 2026 Crohn's & Colitis Congress® Showcases Use of Causal Machine Learning and IBD Plexus® to ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
Across science, medicine, and technology, one problem is becoming increasingly impossible to ignore: data fragmentation. At ...
Yann LeCun helped create the technology behind today’s chatbots. Now he says many tech companies are on the wrong path to ...
While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
A new study combines drone data, satellite observations, and ground-based flux measurements to examine methane emissions from ...
Bias in AI isn’t just baked into the training data; it’s shaped by us and embedded in the broader ecosystem of human-AI ...
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