Meta AI Proposes ‘Metacognitive Reuse’: Turning LLM Chains-of-Thought into a Procedural Handbook that Cuts Tokens by 46% Understanding the Target Audience The primary audience for this content includes AI researchers, data scientists, business managers, and decision-makers in tech companies. Their pain points often include: High operational costs associated with token usage in language models. Challenges… →
BACKGROUND Aphasia is a common consequence of stroke and traumatic brain injury (TBI) that significantly impairs communication and quality of life. Transcranial direct current stimulation (tDCS) has emerged as a non-invasive technique potentially enhancing language rehabilitation. This study aimed to evaluate the efficacy of tDCS in combination with speech-language therapy (SLT) in improving language functions… →

IBM and ETH Zürich Researchers Unveil Analog Foundation Models to Tackle Noise in In-Memory AI Hardware Understanding the Target Audience The target audience for this research includes AI researchers, data scientists, and business leaders in technology sectors focused on AI and machine learning. These individuals are typically engaged in developing or implementing AI solutions and… →
«`html Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems In this tutorial, we introduce a Jailbreak Defense that we built step-by-step to detect and safely handle policy-evasion prompts. We generate realistic attack and benign examples, craft rule-based signals, and combine those with TF-IDF features into… →
CONCLUSIONS: Patisiran demonstrated a consistent positive effect across multiple endpoints in patients with V122I/T60A ATTRv amyloidosis, including polyneuropathy manifestations. →

LLM-as-a-Judge: Where Do Its Signals Break, When Do They Hold, and What Should “Evaluation” Mean? Understanding the Target Audience The target audience for this article includes AI researchers, business managers, and technology decision-makers interested in the application of Large Language Models (LLMs) in evaluation contexts. Their pain points often revolve around the reliability and robustness… →
An Internet of AI Agents? Coral Protocol Introduces Coral v1: An MCP-Native Runtime and Registry for Cross-Framework AI Agents Coral Protocol has launched Coral v1, an agent stack designed to standardize the discovery, composition, and operation of AI agents across various frameworks. This release focuses on a Model Context Protocol (MCP)-based runtime, known as Coral… →
«`html A Coding Guide to End-to-End Robotics Learning with LeRobot: Training, Evaluating, and Visualizing Behavior Cloning Policies on PushT Understanding the Target Audience The audience for this tutorial primarily includes data scientists, machine learning engineers, and robotics developers who are looking to implement behavior cloning policies within their robotic systems. Their pain points often revolve… →
To reverse the progression of compressive cervical myelopathy (CCM) by repairing injured nerve tissue, improving sensory integration, balance, disability, and quality of life (QoL) with Photobiomodulation Therapy (PBMT) as an adjunct to Surface Spinal Stimulation (SSS) and Activity-Based Therapy (ABT). Thirty-two individuals in the age group between, 20 and 65 years diagnosed with sub-acute CCM… →

xAI Launches Grok-4-Fast: Unified Reasoning and Non-Reasoning Model with 2M-Token Context xAI has introduced Grok-4-Fast, a cost-optimized successor to Grok-4 that integrates “reasoning” and “non-reasoning” behaviors into a single model. This model is designed to enhance high-throughput search, coding, and Q&A applications, featuring a 2M-token context window and native tool-use reinforcement learning (RL) that determines… →