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PaperAgent
PaperAgent
Apr 15, 2026 · Artificial Intelligence

Can AI Run an Entire Research Project End‑to‑End? Inside the AiScientist Breakthrough

The article analyzes the AiScientist system, which aims to let AI autonomously drive long‑horizon machine‑learning research projects from paper comprehension through environment setup, code generation, experiment execution, log analysis and iterative refinement, and reports strong benchmark results that demonstrate its practical feasibility.

AI agentsAiScientistResearch Automation
0 likes · 11 min read
Can AI Run an Entire Research Project End‑to‑End? Inside the AiScientist Breakthrough
PaperAgent
PaperAgent
Apr 4, 2026 · Artificial Intelligence

Accelerate Research 10× with Academic-Search: Open‑Source AI Literature Retrieval

Academic‑Search is an open‑source AI‑powered literature retrieval skill that unifies multi‑platform search, deduplication, citation tracking, BibTeX export, PDF download, and code completion, dramatically accelerating research workflows by up to ten times while integrating smoothly with agents like AutoGPT and LangChain.

AI literature searchLLM integrationPython
0 likes · 10 min read
Accelerate Research 10× with Academic-Search: Open‑Source AI Literature Retrieval
AI Agent Research Hub
AI Agent Research Hub
Mar 2, 2026 · Artificial Intelligence

How AI Agents Can Fully Automate Scientific Research and Boost Productivity

This article surveys the emerging AI‑agent ecosystem that automates the full research lifecycle—from data collection and cleaning to regression, literature synthesis and visualization—highlighting open‑source systems such as OpenScholar, Automated‑AI‑Researcher, AlphaEvolve and PaperBanana, their automation maturity, practical usage guides, known limitations, and essential human‑verification checkpoints.

AI agentsClaude CodeHuman-in-the-loop
0 likes · 26 min read
How AI Agents Can Fully Automate Scientific Research and Boost Productivity
AI Programming Lab
AI Programming Lab
Jan 13, 2026 · Artificial Intelligence

How I Produced a 45‑Page, SCI‑Ready Literature Review Using Claude Code

The article demonstrates a step‑by‑step workflow that treats Claude Code as a high‑quality information processor, feeding it curated open‑source and closed‑access papers via Zotero, using plan mode to learn journal style, generating Markdown guides, and finally producing a 45‑page, Nature‑style review ready for top‑tier journal submission.

AIClaude CodeLiterature Review
0 likes · 8 min read
How I Produced a 45‑Page, SCI‑Ready Literature Review Using Claude Code
HyperAI Super Neural
HyperAI Super Neural
Nov 17, 2025 · Artificial Intelligence

Can AI Scientists Surpass Human Researchers? From Assistants to Independent Innovators

The article analyses the emergence of AI scientists—systems that can generate hypotheses, design and run experiments, and write papers—examining their classifications, speed and scale advantages, interdisciplinary breakthroughs, as well as challenges such as black‑box opacity, reliability gaps, ethical concerns, and the evolving talent landscape.

AI ethicsAI scientistResearch Automation
0 likes · 18 min read
Can AI Scientists Surpass Human Researchers? From Assistants to Independent Innovators
DataFunSummit
DataFunSummit
Oct 24, 2025 · Artificial Intelligence

How AI Is Revolutionizing Scientific Code Development Across Disciplines

Google researchers have built a breakthrough AI system that uses large language models combined with tree‑search to automatically write, rewrite, and optimize scientific computing code, delivering expert‑level solutions across fields such as genomics, epidemiology, earth observation, neuroscience, and numerical mathematics.

AIResearch Automationcode generation
0 likes · 7 min read
How AI Is Revolutionizing Scientific Code Development Across Disciplines
AI Large Model Application Practice
AI Large Model Application Practice
Oct 3, 2025 · Artificial Intelligence

Test‑Time Diffusion Deep Research (TTD‑DR): How AI Agents Mimic Human Research Cycles

The article explains Google’s Test‑Time Diffusion Deep Research (TTD‑DR) paradigm, which adds iterative draft‑refinement and self‑evolution to AI agents, enabling multi‑step web retrieval, continuous “denoising” of drafts, and superior research reports compared with first‑generation Deep Research systems.

AI agentsDeep ResearchResearch Automation
0 likes · 11 min read
Test‑Time Diffusion Deep Research (TTD‑DR): How AI Agents Mimic Human Research Cycles
DataFunTalk
DataFunTalk
Sep 11, 2025 · Artificial Intelligence

How Google's AI Is Transforming Scientific Code Development

Google researchers have built a breakthrough AI system that uses large language models and tree‑search to automatically write, rewrite, and optimize scientific computing code, delivering solutions that surpass human experts across biology, epidemiology, remote sensing, neuroscience, time‑series analysis, and computational mathematics.

AICross‑Domain InnovationLLM
0 likes · 6 min read
How Google's AI Is Transforming Scientific Code Development
Data Party THU
Data Party THU
Aug 1, 2025 · Artificial Intelligence

How AI Is Redesigning LIGO and Quantum Experiments for Unprecedented Sensitivity

This article examines how artificial intelligence is being used as a collaborative partner in experimental physics, from optimizing LIGO's sensitivity with novel optical cavities to reinventing quantum entanglement experiments and enhancing data analysis in high‑energy physics, highlighting concrete results and future potential.

Artificial IntelligenceExperimental PhysicsLIGO
0 likes · 7 min read
How AI Is Redesigning LIGO and Quantum Experiments for Unprecedented Sensitivity
DataFunSummit
DataFunSummit
Jul 2, 2025 · Artificial Intelligence

How End-to-End Reinforcement Learning Powers the Kimi Researcher AI Agent

The article explains how Kimi Researcher, an AI Agent built with end‑to‑end reinforcement learning, achieves state‑of‑the‑art performance on the Humanity’s Last Exam benchmark, scales via data‑driven training, and supports diverse research and analysis scenarios.

AI AgentKimi ResearcherLarge Language Model
0 likes · 9 min read
How End-to-End Reinforcement Learning Powers the Kimi Researcher AI Agent