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research automation

23 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Sep 7, 2026 · Artificial Intelligence

OpenAI Reveals AI Agents Now Deliver 3.1x Human Research Labor, Eyes Full Automation by 2028

OpenAI publishes internal data showing AI agents now contribute 3.1 workdays per human researcher day, with median researchers spending $600 daily on inference, while acknowledging complex tasks still require human intervention and safety restrictions caused GPU usage shifts.

2028 timelineAI AgentsAI safety
0 likes · 10 min read
OpenAI Reveals AI Agents Now Deliver 3.1x Human Research Labor, Eyes Full Automation by 2028
AI Architecture Path
AI Architecture Path
Aug 29, 2026 · Artificial Intelligence

34K+ Stars: 148 Skills to Turn Claude Code/Cursor into a Research Assistant

Scientific‑Agent‑Skills is an MIT‑licensed open‑source library of 148 modular research skills that let AI agents such as Claude Code, Cursor or Codex automatically query databases, run bio‑informatics, chemistry and data‑analysis pipelines, and generate full reports with a single natural‑language command, dramatically cutting setup time.

AI AgentsScientific Agent Skillsbioinformatics
0 likes · 16 min read
34K+ Stars: 148 Skills to Turn Claude Code/Cursor into a Research Assistant
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 22, 2026 · Artificial Intelligence

AutoResearch Myth Debunked: How Far Are Large Models From True Autonomous Research?

A comprehensive evaluation of 100 real-world research tasks across seven scientific domains reveals that current AI agents can execute experiments and generate reports but lack a metacognitive loop, causing them to recognize problems without correcting them, and exposing 45 distinct failure patterns that highlight a fundamental gap in autonomous scientific reasoning.

AI AgentsAutoResearchFailure Taxonomy
0 likes · 10 min read
AutoResearch Myth Debunked: How Far Are Large Models From True Autonomous Research?
PaperAgent
PaperAgent
Aug 21, 2026 · Artificial Intelligence

Agentic AI Hits Breakout Year – The Next Research Trend I’ve Captured

The article outlines the rapid surge of Agentic AI research in 2026, citing arXiv statistics, conference participation, a curated 324‑paper collection, and practical tips for using AI agents like Codex to streamline repetitive research tasks while warning against over‑reliance.

AI AgentsAI safetyAgentic AI
0 likes · 5 min read
Agentic AI Hits Breakout Year – The Next Research Trend I’ve Captured
Machine Heart
Machine Heart
Aug 5, 2026 · Artificial Intelligence

Why Mira Leads AI4S Benchmarks and Shows a Viable Path to Industry Deployment

The 2026 AI4S boom has turned scientific AI agents from simple assistants into autonomous research partners, and Mira demonstrates this shift by topping multiple benchmarks, cutting task costs to $0.67, and delivering a full‑cycle, secure architecture that real‑world labs can adopt.

AI for scienceBenchmark analysisIndustry deployment
0 likes · 12 min read
Why Mira Leads AI4S Benchmarks and Shows a Viable Path to Industry Deployment
Old Meng AI Explorer
Old Meng AI Explorer
Jun 12, 2026 · Artificial Intelligence

Automating Editable Research Figures with Codex and Visio

The article explains how researchers can replace tedious manual Visio work by prompting Codex to generate PowerShell/VBS/Python scripts that use Visio's COM interface to produce fully editable .vsdx files, covering setup, step‑by‑step usage, advanced tricks, limitations, and real‑world experience.

AI‑generated diagramsCOM interfaceCodex
0 likes · 14 min read
Automating Editable Research Figures with Codex and Visio
Architect
Architect
Jun 5, 2026 · Artificial Intelligence

When AI Accelerates Its Own Development, Where Do New Bottlenecks Appear?

Anthropic’s report shows Claude now contributes over 80% of code merges and speeds up the execution layer of AI research, shifting scarcity from implementation to goal definition, validation, and control, which raises urgent questions about governance, safety brakes, and research‑level harnesses.

AIBottleneckClaude
0 likes · 18 min read
When AI Accelerates Its Own Development, Where Do New Bottlenecks Appear?
Alibaba International Intelligent Technology
Alibaba International Intelligent Technology
Jun 5, 2026 · Artificial Intelligence

From Alchemist to Decision‑Maker: How Agents Redefine Algorithm Engineers’ Role

The article details a multi‑layer Research Agent system that automates the repetitive execution steps of recommendation model development, demonstrates a 17.5% HitRate@100 lift on Lazada’s generative recall pipeline, and argues that while agents excel at efficient trial‑and‑error, true creative breakthroughs still require human insight.

AI AgentsLazadaMemory Management
0 likes · 23 min read
From Alchemist to Decision‑Maker: How Agents Redefine Algorithm Engineers’ Role
SuanNi
SuanNi
May 27, 2026 · Artificial Intelligence

Key Use Cases and Deployment Guide for OpenClaw Autonomous Agents

The article outlines the core application scenarios of OpenClaw autonomous agents—from personal productivity tools and DevOps assistants to business operations, research workflows, and industry‑specific solutions—provides detailed case studies, step‑by‑step deployment instructions, security configurations, and best‑practice recommendations for effective implementation.

AI automationDevOpsKnowledge Management
0 likes · 14 min read
Key Use Cases and Deployment Guide for OpenClaw Autonomous Agents
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 17, 2026 · Artificial Intelligence

Why This Open‑Source Claude Code Pipeline Has Earned 6.4k Stars for AI‑Powered Paper Writing

The article presents the open‑source ARS (academic‑research‑skills) pipeline that stitches together four Claude Code skills—research, writing, review, and orchestration—detailing its agent architecture, citation verification, integrity gates, anti‑flattery mechanisms, three‑layer data isolation, cost, token usage, and installation steps.

AI WritingClaudeLLM
0 likes · 10 min read
Why This Open‑Source Claude Code Pipeline Has Earned 6.4k Stars for AI‑Powered Paper Writing
SuanNi
SuanNi
May 5, 2026 · Artificial Intelligence

Anthropic Co‑Founder Predicts 60% Chance AI Will Self‑Develop the Next‑Gen Model by End‑2028

Jack Clark’s Import AI analysis forecasts that, based on accelerating benchmark scores such as SWE‑Bench and METR, there is a 60% probability that by the end of 2028 AI systems will be able to autonomously design and train the next generation of more capable models, reshaping research, economics, and alignment challenges.

AI alignmentAI benchmarksAI economics
0 likes · 15 min read
Anthropic Co‑Founder Predicts 60% Chance AI Will Self‑Develop the Next‑Gen Model by End‑2028
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 AgentsAiScientistautonomous research
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
inShocking
inShocking
Mar 16, 2026 · Artificial Intelligence

Building a Multi‑Agent Research Pipeline with OpenClaw: Lessons from Karpathy’s Autoresearch

The article analyzes Karpathy’s Autoresearch project, explains how its 5‑minute experiment constraint enables hundreds of automated runs, and details the author’s three‑layer OpenClaw pipeline that orchestrates search and analysis agents, discusses design decisions, pitfalls, and practical takeaways for engineers.

AI AgentsAutoResearchLLM
0 likes · 12 min read
Building a Multi‑Agent Research Pipeline with OpenClaw: Lessons from Karpathy’s Autoresearch
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 CodeOpenScholar
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 CodeZotero
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 scientistScientific Discovery
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.

AIScientific Computingcode 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 Researchiterative retrieval
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