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Sponsored: Making solar and storage work for AI-scale data centers
This sponsored article discusses the integration of solar energy and battery storage systems to meet the power demands of AI-scale data centers.
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Market Cap Down 60%, Insta360 Announces Robot Ambition With CameraMan Concept
Insta360 has introduced CameraMan, a conceptual intelligent photography robot that integrates its AI chip, camera, and audio technologies.
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Insta360 unveils vision for AI-powered Cameraman robot on 11th anniversary
Insta360 has announced its vision for CameraMan, an AI agent concept designed for autonomous filming and photography.
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A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents
Researchers evaluated the reliability of Gemini models acting as audio judges to score full-duplex voice agent conversations directly from raw waveforms.
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A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis
AegisDx is a new clinical reasoning framework that coordinates multiple specialized language models to reduce diagnostic errors and verify medical reasoning.
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AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
Researchers have developed AUTOPILOT-VQA, a benchmark designed to evaluate how well vision-language models can reason about safety-critical traffic incidents using dashcam footage.
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The complexities of patient-centred conversational artificial intelligence
An analysis of over two thousand real patient-chatbot interactions led to the development of a patient simulator that models clinical, emotional, and conversational variations.
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Where do LLMs Fall Short in CBT-Guided Affective Reasoning?
This study evaluates the limitations of large language models in applying Cognitive Behavioral Therapy, finding that they struggle to transition from theoretical knowledge to practical, user-specific guidance.
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The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle
The Phasor Transformer block is introduced as a phase-native alternative to standard self-attention, representing sequence states on a unit-circle manifold to bypass quadratic bottlenecks.
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PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents
Researchers have introduced PolyWorkBench, a benchmark designed to evaluate the performance of large language model agents on long-horizon tasks in multilingual environments.
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RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments
Researchers have introduced RetailBench, a simulation benchmark designed to evaluate the long-horizon decision-making and strategic stability of language model agents in a virtual retail environment.
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When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models
An empirical study of reasoning-capable vision-language models reveals distinct patterns in how their internal uncertainty behaves during multi-step thinking processes.
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Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models
A new open-source multi-agent firewall architecture secures user interactions with large language models by intercepting and filtering sensitive data across web and programmatic traffic.
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Native-speed vLLM transformers modeling backend
Hugging Face has introduced a native-speed vLLM backend for transformers to optimize and accelerate large language model serving.
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Global Stack pitches Edge data center at rodeo-focused indoor arena in California
Global Stack is proposing to build an edge data center at an indoor rodeo arena in California following a previous setback in Calistoga.
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Japan's At Tokyo plans data center in Nagoya
Japanese data center provider At Tokyo has announced plans to open a new facility in Nagoya next year.
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Helping K–12 educators build practical AI skills
OpenAI Academy has partnered with the Walton Family Foundation to launch interactive training sessions aimed at helping primary and secondary school educators integrate artificial intelligence skills into their classrooms.
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Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
The paper introduces a method for identifying and localizing failures within complex, multi-agent systems powered by large language models.
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Collective Intelligence with Foundation Models
This paper outlines a multi-agent framework that coordinates solver, critic, and aggregator foundation models to build more reliable cooperative reasoning systems.
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China’s circuit-board makers push capex towards record to feed AI boom
Chinese printed circuit board manufacturers are significantly increasing capital expenditure and expanding factory capacity to meet surging global demand driven by the artificial intelligence boom.
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Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Researchers introduced G-Frame, a multi-agent framework based on game theory principles designed to reduce hallucinations in lightweight language models applied to scientific domains.
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MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters
MentalHospital is a virtual simulation environment designed to evaluate how effectively large language models handle complete psychiatric clinical encounters.
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How to Leverage Synthetic Speech for LLM-Based ASR Systems?
The paper explores methods to effectively utilize synthetic speech generated by text-to-speech systems to train automatic speech recognition models in privacy-restricted domains.
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DeepTutor: Towards Agentic Personalized Tutoring
DeepTutor is an open-source agentic framework that combines citation-grounded tutoring with calibrated feedback to personalize educational interactions.