AI framework cuts computing use by two-thirds while more than tripling success in virtual tasks

A research team led by professor Minhae Kwon of the School of Electronic and Electrical Engineering has developed two core next-generation artificial intelligence (AI) technologies that enable AI systems to handle complex, long-horizon tasks more effectively while reducing computational costs and improving safety. The findings address key challenges that have hindered the commercialization of costly …

Scientists overcome a hidden obstacle to more powerful quantum computers

Scientists have discovered a way to operate multiple silicon qubits simultaneously with remarkable accuracy, overcoming a major challenge in scaling up quantum computers. Their new technique maintained accuracy of approximately 99.9% even when all five qubits were running at once, opening the door to larger and more powerful quantum processors.

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Beyond API Compatibility: Building a Tool to Measure the Blast Radius of Library Changes

By Roberto Perez Alcolea, Java Platform Team Quasar connects a proposed API change with observed references in consumer repositories, giving the producer evidence for a release decision At Netflix, shared Java libraries support applications developed across a large, independently evolving repository ecosystem. A library change begins in one repository, but its impact can reach many others. Producers …

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Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic tasks are different. An agent that files an expense report or triages a support ticket takes a sequence of actions, and each step depends on what came before. There’s rarely one correct sequence to imitate, and the only reliable feedback …