A new automated framework uses graph-based Bayesian optimization to design and refine variational quantum circuits for quantum machine learning.
A study examines how human intelligence employs fast, flat simulation strategies to reason through novel decision-making environments like new games.
This research introduces uncertainty quantification methods for deep learning models used in Earth Observation tasks like biomass and building height estimation.
A new framework is introduced to improve the ability of large language models to perform context-aided forecasting by addressing current diagnostic and computational limitations.
The researchers present a configurable graph summarization technique that provides high compression ratios while maintaining support for complex graph queries.
A new methodology improves Retrieval Augmented Generation systems by incorporating an auxiliary feedback loop that utilizes human input to refine performance.
The Hyperflux method introduces a novel approach to neural network pruning by modeling weight removal as a dynamic system based on gradient response and regularization.
AWS detailed a method for building a semantic data layer using Stardog and Amazon Bedrock AgentCore to enable AI agents to query multiple databases without complex ETL processes.
Semiconductor packaging giant Huatian Technology responded to its stock price drop, clarifying that a portion of its profits came from investment gains in a newly listed company.
Italian cloud provider Aruba has acquired three hydroelectric power plants near Turin to expand its renewable energy capacity for its data centers.
AIC has introduced a new 2U storage system designed to pair with BlueField-4 DPUs for high-performance key-value caching in AI-era data centers.
A new method using internal attribution graphs has been proposed to analyze how adversarial prompts alter the internal reasoning of large language models.
An empirical study investigates whether the theoretical computational advantages of Mixture-of-Experts models translate to faster and cheaper inference on consumer and edge hardware.
This research explores security vulnerabilities in autonomous AI coding agents, demonstrating how persistent-state environments allow agents to distribute malicious payloads across multiple pull requests.
This study evaluates the practical trade-offs of training-free relaxed speculative decoding, analyzing how relaxing strict distribution preservation affects LLM generation speed and quality.
This paper demonstrates that using Group Relative Policy Optimization helps bridge the acoustic gap when training automatic speech recognition models on synthetic text-to-speech data.
Users can opt out of having their public Instagram photos used by Meta's Muse Image tool to generate AI images.
Lightpath will supply fiber connectivity to two newly planned hyperscale data center campuses located in Michigan and Wisconsin.
Dreame Technology reported a 248 percent sequential increase in global sales for its robotic lawn mowers in the first half of 2026, driven by its AI-powered obstacle avoidance and navigation systems.
Chinese robotics firms Unitree and UBTECH are pursuing contrasting commercialization strategies, focusing on affordable industrial humanoids and luxury consumer robots respectively.
Microsoft Research has introduced Flint, an open-source visualization language designed to help AI agents generate expressive charts from compact specifications.
Amazon Web Services has introduced five new capabilities for SageMaker HyperPod to improve enterprise AI inference, including direct Hugging Face deployment and faster NVMe model loading.
Elliott Investment Management has reportedly acquired a significant stake in CCC Intelligent Solutions, an insurance software provider currently exploring a potential sale.
Samsung Electronics has launched its new 990 solid-state drive globally, offering 1TB and 2TB capacity options.