information science
30 articles about information science in AI news
Anthropic Launches Dedicated Science Blog to Chronicle AI Research and Applications
Anthropic has launched a new Science Blog to publish its research and case studies on using AI to accelerate scientific discovery, aligning with its mission to increase the pace of scientific progress.
Fine-Tune Phi-3 Mini with Unsloth: A Practical Guide for Product Information Extraction
A technical tutorial demonstrates how to fine-tune Microsoft's compact Phi-3 Mini model using the Unsloth library for structured information extraction from product descriptions, all within a free Google Colab notebook.
Google's TITANS Architecture: A Neuroscience-Inspired Revolution in AI Memory
Google's TITANS architecture represents a fundamental shift from transformer limitations by implementing cognitive neuroscience principles for adaptive memory. This breakthrough enables test-time learning and addresses the quadratic scaling problem that has constrained AI development.
How a 50-Year-Old Computer Science Concept Just Outperformed Anthropic's Claude Code
A small startup has outperformed Anthropic's flagship Claude Code using a novel architecture based on persistent memory systems. This breakthrough demonstrates how classic computer science principles can solve modern AI limitations in context retention and reasoning.
SciRisk-Bench Tests 10 Risk Dimensions Across 7 Science Disciplines
SciRisk-Bench evaluates LLMs across 10 risk dimensions and 7 disciplines. Safety omission and lab safety show highest vulnerability.
ML-Master 2.0 Hits 56.44% on MLE-Bench in 24-Hour Agentic Science Run
Researchers from Shanghai Jiao Tong University demonstrated ML-Master 2.0, an autonomous research agent that operated continuously for 24 hours on the MLE-Bench, achieving a 56.44% medal rate. The breakthrough centers on Hierarchical Cognitive Caching for state management, not reasoning, enabling long-horizon scientific workflows.
Neuroscience Visualization: Time-Lapse Video Shows Lab-Cultured Neurons Forming Connections
A researcher shared a time-lapse video of actual neurons in a lab dish forming new connections. This raw visualization provides a direct, non-AI view of biological computation.
BioBridge AI Merges Protein Science with Language Models for Breakthrough Biological Reasoning
Researchers introduce BioBridge, a novel AI framework that combines protein language models with general-purpose LLMs to enable enhanced biological reasoning. The system achieves state-of-the-art performance on protein benchmarks while maintaining general language understanding capabilities.
The AI Trap: How Professors Are Fighting Back Against Student Over-Reliance on Language Models
University professors are deploying 'trap words' in digital assignments to catch students who blindly use AI for complex cognitive tasks. While science departments embrace these tools, literature professors report a collapse in students' ability to synthesize information independently.
DARPA AIQ Program Shifts From Benchmarks to Measuring AI Capabilities
DARPA AIQ program, one year in, shifts from benchmarks to a science of AI capability, per program lead @patrickshafto.
DOE Seeks Input on AI Infrastructure for Federal Lands
The U.S. Department of Energy has published a Request for Information (RFI) to solicit input on developing AI and high-performance computing infrastructure on DOE-owned lands. This marks a significant step in the federal government's strategy to directly address the national AI compute shortage.
OpenAI Readies Next-Gen Model Launch, Claims 'Significant Step Forward'
OpenAI is in final preparations to launch its next generation of AI models, which the company claims represents a 'very significant step forward' with revolutionary potential for science and the economy. The launch could happen imminently, possibly within the week.
Mirendil: Ex-Anthropic Scientists Launch $1B Venture to Build AI That Thinks Like a Scientist
Former Anthropic researchers are raising $175M at a $1B valuation for Mirendil, a startup aiming to build AI systems for long-term scientific reasoning. The goal is to accelerate breakthroughs in biology and materials science, aligning with a broader industry push toward autonomous AI researchers.
The Unlearning Illusion: New Research Exposes Critical Flaws in AI Memory Removal
Researchers reveal that current methods for making AI models 'forget' information are surprisingly fragile. A new dynamic testing framework shows that simple query modifications can recover supposedly erased knowledge, exposing significant safety and compliance risks.
Temporal Freedom: How Unrestricted Data Access Could Revolutionize LLM Performance
Researchers at Tsinghua University have discovered that allowing Large Language Models to freely search through temporal data significantly outperforms traditional rigid pipeline approaches and costly retrieval methods. This breakthrough suggests a paradigm shift in how we structure AI information access.
DishBrain Breakthrough: Lab-Grown Neurons Master Classic Video Game Doom
Scientists have successfully trained in vitro brain cells to play the classic video game Doom, marking a significant advancement in biological computing and neural interface technology. This breakthrough demonstrates how living neurons can process information and adapt to perform complex tasks.
Neural Paging: The Memory Management Breakthrough for Next-Gen AI Agents
Researchers propose Neural Paging, a hierarchical architecture that decouples symbolic reasoning from information management in AI agents. This approach dramatically reduces computational complexity for long-horizon reasoning tasks, moving from quadratic to linear scaling with context window size.
AI Context Files: The Hidden Blueprint of Modern Software Development
Researchers have conducted the first empirical study analyzing how developers create AI context files in open-source projects. The study reveals emerging patterns in how programmers structure information for AI assistants, offering insights into the evolving relationship between developers and AI tools.
AI Engineer Henry Ndubuaku Releases Open-Source 'Maths, CS & AI Compendium' Textbook
AI engineer Henry Ndubuaku has published a free, open-source textbook compiling mathematics, computer science, and AI concepts. The resource emphasizes intuitive understanding over notation and has reportedly helped users land roles at DeepMind, OpenAI, and Nvidia.
Anthropic Launches In-House Drug Discovery for Neglected Diseases
Anthropic launched drug discovery for neglected diseases. Novartis CEO says AI could cut development from 12 to 7-8 years and double success rates.
White House Orders OpenAI to Gate GPT-5.6 Release per Customer
White House orders OpenAI to gate GPT-5.6 release per customer, mirroring Anthropic's voluntary suspension of Claude Mythos under regulatory pressure.
Anthropic Launches Claude Tag as Multiplayer Slack Agent Ahead of IPO
Anthropic released Claude Tag, a Slack-native agent for teams. The tool already approves 65% of internal code changes as Anthropic pushes enterprise adoption ahead of its 2026 IPO.
China Opens Two Rival Space-AI Compute Hubs Days Before SpaceX's AI1 Reveal
Beijing approved a BUPT-led Space Computing Industry Innovation Center on June 1 and a separate E-Town Space Intelligent Computing Research Institute in late May, both targeting radiation-hardened AI chips and orbital inference — coordinated moves that preceded SpaceX's AI1 satellite unveiling on Ju
Google Titan: A New Architecture That Could Dethrone Transformers
Google's Titan architecture claims to surpass Transformers on long-context tasks via neural long-term memory, achieving 1.2x-2.5x speedups on benchmarks.
MIRA Benchmark Tests Cross-Category IR Across 4 Scholarly Data Types
MIRA benchmark tests cross-category retrieval across four scholarly data types using real user queries and LLM-assisted judgments.
Wireless Brain Implant Restores Sight in Third Human Patient
Wireless brain implant with 544 electrodes achieves third human implantation, bypassing eyes to create artificial sight via direct visual cortex stimulation.
Hinton Rebrands AI Hallucinations as 'Confabulations'
Geoffrey Hinton redefines AI hallucinations as 'confabulations,' arguing that intelligence reconstructs reality into plausible stories rather than storing facts like a database.
Claude Now Tutors Kids for Free, Matching $100/hr Private Lessons
Claude can now teach kids any school subject like a $100/hour private tutor from Khan Academy, for free. This brings high-quality, personalized AI tutoring to anyone with internet access.
LLM Agents Will Reshape Personalization
Researchers propose that LLM-based assistants are reconfiguring how user representations are produced and exposed, requiring a shift toward inspectable, portable, and revisable user models across services. They identify five research fronts for the future of recommender systems.
ItemRAG: A New RAG Approach for LLM-Based Recommendation That Retrieves
ItemRAG shifts RAG for LLM-based recommenders from user-history retrieval to fine-grained item-level retrieval, using co-purchase and semantic data to prioritize informative items. Experiments show consistent outperformance over existing methods, especially for cold-start items.