AI Scholar Hub

NVIDIA GTC 2026 Highlights

• 🔥 Live Updates on AI Infrastructure: Expanded infrastructure spans the full NVIDIA AI computing stack, including...

Attention Residuals racks up 111 points on Hacker News, buzzing with transformer efficiency tweaks for hands-on experiments.

• Reflective Victory Lap: Jensen Huang sat on the floor beside robotic Olaf, gazing at NVIDIA's achievements footage
• LPU Hardware Debut: New LPU...

Key highlights from this study on computationally efficient deep learning:

• Introduces a novel chunk-wise fully connected deep neural network.
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• Hands-on ANN for house price prediction on realistic data—perfect for first DL experiments.
• Master 4-phase workflow: Train/test split,...

Key breakthroughs in Meta FAIR's V-JEPA 2.1 for agent vision:

• Dense Predictive Loss + Deep Self-Supervision ensure spatial/temporal grounding across...

Hands-on resources are democratizing LLM training for personal projects and coursework:

• eBook guide structures chapters to train your own LLM,...

Micah Villmow, Senior Research Engineer at Institute for Foundation Models with decades in GPU optimization (ex-Nvidia TensorRT), demos a full...

Key insights from this video on AI deception and alignment:

• Lying as optimal: Explored in Part 1, framed as intelligent strategy.
• Intelligent...

New RL framework tackles low sample efficiency in LLM agents via a co-evolutionary loop between policy actor and experience extractor, preventing...

Loc3R-VLM enables language-based localization and 3D reasoning using vision-language models—ideal for robotics experiments and academic projects.

Key FAQ on Reinforcement Learning Environments offers 4 points highlighted on Hacker News – vital resource for setting up reproducible RL experiments in academic courses and hands-on projects.

Zifeng Wang's DBMI seminar highlights LLMs and AI agents streamlining drug development—essential for interdisciplinary AI-biomed studies:

• Planning:...

Efficient RAG alternative for long-context projects: SmartSearch skips complex LLM structuring at ingestion, using a deterministic pipeline with...

Unlock autonomous AI optimization with three core components:

• Target file: Modify ML scripts or JSON system prompts
• Optimization instructions:...

M2RNN revives non-linear RNNs to tackle Transformers' limits in entity tracking and code execution.

• Matrix-valued states and non-linear transitions...

Exciting release for scientific AI research:

• PrincipiaBench: New eval for mathematical objects like equations, sets, matrices—not just numbers or...

A novel, easy-to-implement decoding scheme induces sustained creativity and diversity in LLMs, producing conceptually unique results. Perfect for hands-on creative AI projects.

LLM Efficiency Advances

• 🔥 kvcached: UC Berkeley introduces a multitasking OS approach for GPU compute and memory management to improve...

• MosaicMem enables long-horizon consistency and object permanence in video generation via patch-based hybrid memory and stitching.
• Video-CoE breaks...