MIT tool visualizes and edits “physically impossible” objects
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
National Science Foundation (NSF)
This new approach could lead to enhanced AI models for drug and materials discovery.
Read MoreThe unique, mathematical shortcuts language models use to predict dynamic scenarios
Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.
Read MoreA team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.
Read MoreResearchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.
Read MoreDeveloped to analyze new semiconductors, the system could streamline the development of more powerful solar panels.
Read MoreUnpacking the bias of large language models
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Read MorePhotonic processor could streamline 6G wireless signal processing
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
Read MoreWith AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Read MoreChemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
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