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Top MarkTechPost News

Alibaba · Hangzhou

Alibaba Launches Open-Source AI Coding Model, Touted as Its Most Advanced to Date

80% Center coverage: 10 sources

See the Story

Artificial Intelligence

Google Search Gets Brainy Upgrade with AI Calling and Deep Research

60% Center coverage: 5 sources

Google Search adds Gemini 2.5 Pro for complex queries, Deep Search reports, and AI-powered local business calls—first for paid subscribers in the U.S.See the Story

Artificial Intelligence

Google Just Released an A.I. Tool That Helps Historians Fill in Missing Words in Ancient Roman Inscriptions

100% Center coverage: 3 sources

Known as Aeneas, the tool was trained on an extensive dataset of Latin epigraphy. Experts hope it will help decipher segments of text that have been lost to history See the Story

Validating Subjective Ratings with Wearable Data for a Nuanced Understanding of Load-Recovery Status in Elite Endurance Athletes

BackgroundThe emergence of wearable technology offers enhanced real-time health management, including sleep, recovery, and exercise optimization. Despite their potential to monitor load-recovery parameters in elite athletes, the selection, combination, and interpretation of reliable m...Google See the Story

Meta built its AI reputation on openness -- that may be changing

100% Center coverage: 1 sources

Top members of Meta’s new Superintelligence Lab discussed pivoting away from the company’s powerful open source AI model, Behemoth, and instead developing a closed model. This would mark a major philosophical shift for Meta.Mark Zuckerberg See the Story

NVIDIA AI Releases GraspGen: A Diffusion-Based Framework for 6-DOF Grasping in Robotics

Robotic grasping is a cornerstone task for automation and manipulation, critical in domains spanning from industrial picking to service and humanoid robotics. Despite decades of research, achieving robust, general-purpose 6-degree-of-freedom (6-DOF) grasping remains a challenging open problem. Recently, NVIDIA unveiled GraspGen, a novel diffusion-based grasp generation framework that promises to bring state-of-the-art (SOTA) performance with unp…Robotics · Santa Clara Read Article

RoboBrain 2.0: The Next-Generation Vision-Language Model Unifying Embodied AI for Advanced Robotics

Advancements in artificial intelligence are rapidly closing the gap between digital reasoning and real-world interaction. At the forefront of this progress is embodied AI—the field focused on enabling robots to perceive, reason, and act effectively in physical environments. As industries look to automate complex spatial and temporal tasks—from household assistance to logistics—having AI systems that truly understand their surroundings and plan a…Artificial Intelligence · Beijing Read Article

EraRAG: A Scalable, Multi-Layered Graph-Based Retrieval System for Dynamic and Growing Corpora

Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing with up-to-date facts, domain-specific information, or complex multi-hop reasoning. Retrieval-Augmented Generation (RAG) approaches aim to address these gaps by allowing language models to retrieve and integrate information from external sources. However, most existing graph-based RAG systems are optim…Read Article

Alibaba’s Qwen-MT Promises Smarter, Cheaper Translations Across 92 Languages

Alibaba has launched Qwen-MT on July 24, its latest machine translation model built on the Qwen3 foundation, offering faster and more affordable translation across 92 global languages. The lightweight model, Qwen-MT-Turbo, is now available via the Qwen API. Designed to serve high-concurrency environments, Qwen-MT claims to outperform other compact LLMs like GPT-4.1 mini and Gemini 2.5 Flash, while holding its own against larger models, including…Alibaba · China See the Story

DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving

Existing long-CoT reasoning models have achieved state-of-the-art performance in mathematical reasoning by generating reasoning trajectories with iterative self-verification and refinement. However, open-source long-CoT models depend only on natural language reasoning traces, making them computationally expensive and prone to errors without verification mechanisms. Although tool-aided reasoning provides greater efficiency and reliability for lar…Pittsburgh · Pittsburgh Read Article

Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers

Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the introduction of Energy-Based Transformers (EBTs)—a family of neural architectures specifically designed to enable “System 2 Thinking” in machines without relying on domain-specific supervision or restrictive training signals. From Pattern Matching to De…Energy Read Article

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