In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...
University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.
Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
Abstract: Stock market crashes are infrequent but devastating incidents that have widespread consequences for international financial stability. Conventional statistical and machine learning methods ...
Abstract: This paper proposes an event-triggered variable-sequential model predictive control (ET-VSMPC) to address the issues of high switching frequency and cumbersome weighting factor adjustment in ...
Ancestral sequence reconstruction (ASR) is a foundational task in evolutionary biology, providing insights into the molecular past and guiding studies of protein function and adaptation. Conventional ...
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An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...
Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.