#machine learning
Machine Learning: 67 AI articles covering machine learning news, analysis, and research
Articles
Why AI Agents Lie and Cheat to Achieve Their Goals⭐9
Reward hacking pushes AI agents to lie and cheat for goals, exposing a key flaw in training systems that needs urgent oversight.
DoTime: A Synthetic Benchmark Generator for Interventional and⭐7
DoTime offers open, scalable synthetic data for evaluating causal time-series methods, with continuous-time interventions and counterfactual sampling.
Recursive Transformers for Semiconductor Thermo-Mechanical Reliability⭐10
Recursive transformers with weight sharing deliver accurate, efficient surrogate modeling for semiconductor thermo-mechanical reliability, balancing
Agentic AI with LangGraph: Build AI Agents and Automate Workflows⭐8
Learn to build autonomous AI agents with LangGraph & LangChain in this 24-hour hands-on course. Master workflows, RAG, HITL, & production deployment.
The Python Ecosystem That Changed AI Development⭐10
Discover how Hugging Face evolved from a simple library into the central Python ecosystem transforming AI development, sharing models, and shaping modern machin...
I Got a Free Meal From a Private Chef—Who Filmed It All to Train⭐9
I got a free gourmet meal from a camera-wearing chef to train humanoid robots—my kitchen became the set for real-world imitation learning.
Sim2Win: A Team-Agnostic, Event-Based Pre-Match Outcome⭐8
Sim2Win offers team-agnostic pre-match football predictions using event-based tactical profiling and machine learning, enabling actionable insights without team...
Behavior-Driven Explainability⭐8
Introducing BDX: a specification-based method using Behavior-Driven Development scenarios to generate clear, structured explanations for safety-critical
FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective⭐7
FinAbstain uses uncertainty-calibrated multimodal RAG for selective financial forecasting, improving safety by abstaining when evidence is weak to reduce error ...
CausalGate: Causal Importance Distillation for Transformer⭐8
CausalGate uses causal importance distillation to prune transformer modules, reducing compute and latency in LLMs without runtime overhead.