[[{“value”:” Methane clouds on Titan, Saturn’s largest moon, are more than just a celestial oddity — they’re a window into one of the solar system’s most complex climates. Until now, mapping them has been slow and grueling work. Enter AI: a team from NASA, UC… Read More »AI Maps Titan’s Methane Clouds in Record Time Brian Caulfield – Archives Page 1 | NVIDIA Blog
[[{“value”:” The advancement of artificial intelligence (AI) and machine learning (ML) has enabled transformative progress across diverse fields. However, the “system domain,” which focuses on optimizing and managing foundational AI infrastructure, remains relatively underexplored. This domain involves critical tasks such as diagnosing hardware issues, optimizing… Read More »Microsoft AI Introduces Sigma: An Efficient Large Language Model Tailored for AI Infrastructure Optimization Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large language models (LLMs) have introduced impressive capabilities, particularly in reasoning tasks. Models like OpenAI’s O1 utilize “long-thought reasoning,” where complex problems are broken into manageable steps and solutions are refined iteratively. While this approach enhances problem-solving, it comes at a cost: extended output… Read More »O1-Pruner: Streamlining Long-Thought Reasoning in Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost
[[{“value”:” Smartphones are essential tools in dAIly life. However, the complexity of tasks on mobile devices often leads to frustration and inefficiency. Navigating applications and managing multi-step processes consumes time and effort. Advancements in AI have introduced large multimodal models (LMMs) that enable mobile assistants… Read More »Mobile-Agent-E: A Hierarchical Multi-Agent Framework Combining Cognitive Science and AI to Redefine Complex Task Handling on Smartphones Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” The study of autonomous agents powered by large language models (LLMs) has shown great promise in enhancing human productivity. These agents are designed to assist in various tasks such as coding, data analysis, and web navigation. They allow users to focus on creative and… Read More »Google AI Introduces Learn-by-Interact: A Data-Centric Framework for Adaptive and Efficient LLM Agent Development Nikhil Artificial Intelligence Category – MarkTechPost
Nonverbal behaviors such as posture, gestures, and gaze are essential for conveying internal states, both consciously and unconsciously, in human interaction. For robots to interact more naturally with humans, robot movement design should likewise integrate expressive qualities—such as intention, attention, and emotions—alongside traditional functional considerations… Read More »ELEGNT: Expressive and Functional Movement Design for Non-Anthropomorphic Robot Apple Machine Learning Research
This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage in human-like non-verbal communication. Non-verbal cues such as facial expressions, gestures, and body movements play a crucial role in effective interpersonal interactions. Despite the advancements… Read More »EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning Apple Machine Learning Research
[[{“value”:” The advent of advanced AI models has led to innovations in how machines process information, interact with humans, and execute tasks in real-world settings. Two emerging pioneering approaches are large concept models (LCMs) and large action models (LAMs). While both extend the foundational capabilities… Read More »Bridging Reasoning and Action: The Synergy of Large Concept Models (LCMs) and Large Action Models (LAMs) in Agentic Systems Aswin Ak Artificial Intelligence Category – MarkTechPost
[[{“value”:” Aligning large language models (LLMs) with human values is essential as these models become central to various societal functions. A significant challenge arises when model parameters cannot be updated directly because the models are fixed or inaccessible. In these cases, the focus is on… Read More »Align-Pro: A Cost-Effective Alternative to RLHF for LLM Alignment Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost
[[{“value”:” Evaluating conversational AI systems powered by large language models (LLMs) presents a critical challenge in artificial intelligence. These systems must handle multi-turn dialogues, integrate domain-specific tools, and adhere to complex policy constraints—capabilities that traditional evaluation methods struggle to assess. Existing benchmarks rely on small-scale,… Read More »Plurai Introduces IntellAgent: An Open-Source Multi-Agent Framework to Evaluate Complex Conversational AI System Vineet Kumar Artificial Intelligence Category – MarkTechPost