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HyperAI Super Neural
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HyperAI Super Neural

Deconstructing the sophistication and universality of technology, covering cutting-edge AI for Science case studies.

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Latest from HyperAI Super Neural

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HyperAI Super Neural
HyperAI Super Neural
Sep 3, 2026 · Artificial Intelligence

UrbanGround: Testing MLLM Agents in Real-Scale Hong Kong City Navigation

Researchers from Shanghai Jiao Tong University, NUS, Meituan, and others built UrbanGround, a real-scale interactive Hong Kong environment using 3D geographic data, to evaluate MLLM agents on local perception, navigation persistence, and dynamic adaptation, revealing models excel at local tasks but fail at long-range navigation and dynamic recovery.

Hong KongMLLMUrbanGround
0 likes · 15 min read
UrbanGround: Testing MLLM Agents in Real-Scale Hong Kong City Navigation
HyperAI Super Neural
HyperAI Super Neural
Aug 17, 2026 · Artificial Intelligence

Inside Huawei’s Open‑Source AscendNPU IR: Architecture, Triton Integration, and New Optimizations

At the Meet AI Compiler #9 salon, Huawei AscendNPU IR architect Hai Lijuan detailed the open‑source compiler’s MLIR‑based architecture, its Tile‑level abstraction, support for Triton and other front‑end languages, and the latest hardware‑aware optimizations for Ascend 950, including Reg‑based SIMD, CV pipeline and MultiBuffer techniques.

AI CompilerAscendNPU IRCV pipeline
0 likes · 15 min read
Inside Huawei’s Open‑Source AscendNPU IR: Architecture, Triton Integration, and New Optimizations
HyperAI Super Neural
HyperAI Super Neural
Aug 13, 2026 · Artificial Intelligence

Lamp: Unified Compiler for Edge‑Deployed Embodied AI, Bridging Robot Prototypes to Products

The article analyzes why traditional model deployment fails for embodied intelligence, outlines three prevailing solution routes, and presents Lamp—a unified compiler framework that transforms complex robot pipelines from Python prototypes into edge‑ready, high‑performance products, achieving up to 22 Hz inference and offering five integrated capabilities.

AI CompilerLamp FrameworkPipeline Optimization
0 likes · 21 min read
Lamp: Unified Compiler for Edge‑Deployed Embodied AI, Bridging Robot Prototypes to Products
HyperAI Super Neural
HyperAI Super Neural
Jul 23, 2026 · Artificial Intelligence

ChemGraph: 13 Benchmarks Reveal LLM Agent’s Capabilities in Computational Chemistry

The Argonne National Laboratory team introduces ChemGraph, an LLM‑driven agent for computational chemistry, and evaluates it across 13 benchmark tasks, showing that small models excel on simple tasks while larger models and multi‑agent designs dramatically improve performance on complex molecular simulations.

AI automationChemGraphLLM Agents
0 likes · 11 min read
ChemGraph: 13 Benchmarks Reveal LLM Agent’s Capabilities in Computational Chemistry
HyperAI Super Neural
HyperAI Super Neural
Jul 17, 2026 · Artificial Intelligence

NVIDIA’s Open‑Source Nemotron Datasets: 10 T+ Tokens, 40 M Samples Across Math, Code, and Multilingual Dialogue

The article compiles 15 NVIDIA Nemotron series datasets—totaling over 10 trillion tokens and 40 million post‑training samples—covering general text pre‑training, supervised fine‑tuning, code generation, math reasoning, and multilingual persona dialogue, all hosted on HyperAI for LLM researchers.

MultilingualNVIDIANemotron
0 likes · 17 min read
NVIDIA’s Open‑Source Nemotron Datasets: 10 T+ Tokens, 40 M Samples Across Math, Code, and Multilingual Dialogue
HyperAI Super Neural
HyperAI Super Neural
Jul 16, 2026 · Artificial Intelligence

RNAbpFlow Rivals AlphaFold 3 in RNA Structure Prediction Without Evolutionary Data

The Virginia Tech team introduced RNAbpFlow, a SE(3)-equivariant flow‑matching model that predicts full‑atom RNA 3D structures using only sequence and base‑pair information, achieving higher TM‑score and lDDT than AlphaFold 3 on CASP16 targets and outperforming existing methods across multiple benchmarks.

AlphaFold 3CASP16Deep Learning
0 likes · 16 min read
RNAbpFlow Rivals AlphaFold 3 in RNA Structure Prediction Without Evolutionary Data
HyperAI Super Neural
HyperAI Super Neural
Jun 18, 2026 · Artificial Intelligence

Weekly AI Paper Digest: D4RT 300× Faster 4D Reconstruction, SAI Theory Challenges AGI, and More

This week’s AI paper roundup covers DeepMind’s D4RT framework that accelerates dynamic 4D reconstruction by up to 300×, a Columbia‑NYU proposal of Superhuman Adaptable Intelligence that questions AGI, MIT‑UW findings on chatbot delusional spiraling, security risks of autonomous agents, a new ARA protocol for executable research artifacts, a vision of AI‑driven software engineering, and a memory‑caching approach that expands RNN capacity while reducing complexity.

AI safetyArtificial IntelligenceD4RT
0 likes · 11 min read
Weekly AI Paper Digest: D4RT 300× Faster 4D Reconstruction, SAI Theory Challenges AGI, and More
HyperAI Super Neural
HyperAI Super Neural
Jun 18, 2026 · Artificial Intelligence

When AI Takes Over Research, What Role Remains for Human Scientists? Inside AgentSociety²

AgentSociety² is an integrated, human‑in‑the‑loop research environment that lets AI Social Scientists handle repetitive tasks such as literature mining, hypothesis generation, experiment configuration, simulation execution and report drafting, while human researchers retain control over problem definition, hypothesis revision, constraint setting, mechanism interpretation, and the judgment of social significance.

AIAgent-based ModelingExecutable Social Science
0 likes · 17 min read
When AI Takes Over Research, What Role Remains for Human Scientists? Inside AgentSociety²