The landscape of domestic robotics in 2026 is no longer defined by mechanical raw power, but by the sophistication of the ...
How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...
The Project Santa Fe Foundation (PSFF) and Virchow Medical have formed a partnership to meet the unmet needs of oncology patients by transforming laboratory insights into proactive clinical analytics.
Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...
The final, formatted version of the article will be published soon. {The paper discusses computational and numerical challenges that are associated with the truncation of the information and which ...
Abstract: Combining quantum computers with classical compute power has become a standard means for developing algorithms and heuristics that are, eventually, supposed to beat any purely classical ...
Abstract: Path planning is a critical challenge for autonomous robots. Current algorithms lack environment-based directional guidance, often generating extensive low-quality path explorations that ...
TikTok has reached a deal that will allow it to keep operating in the United States, with a majority American-owned joint venture, but the terms could change the algorithm for users in the U.S. The ...
The final, formatted version of the article will be published soon. Abstract: This paper introduces and studies the One-Dimensional Bin Packing Problem with Time Windows (1DBPP-TW)—a variant of the ...
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