The Times of AI
The channel provides comprehensive coverage of the latest news and advancements in the field of Artificial Intelligence, carefully curated by Professor Mohamed Medhat Gaber. With a wealth of knowledge and expertise in this rapidly evolving field, Professor Gaber ensures that viewers are kept up-to-date with the latest breakthroughs and developments. Stay informed and ahead of the curve with our channel's insightful coverage of AI.
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
DeepSeek-OCR: Contexts Optical Compression
DeepSomatic: Accurate Somatic Variant Calling Across Sequencing Technologies
Dr.LLM: Dynamic Layer Routing in LLMs
Early Experience for Language Agent Learning
ReasoningBank: Agent Self-Evolving with Reasoning Memory and Scaling
Vision-Zero: VLM Self-Improvement via Gamified Self-Play
Dragon Hatchling: Brain-Inspired Language Model Architecture
Less is More: Tiny Recursive Models
TATTOO: Tool-Grounded Thinking for Tabular Reasoning
EPIC: Progressive Consistency Distillation for Efficient MLLMs
BitNet b1.58 2B4T: Scalable 1-bit LLM
TUMIX: Multi-Agent Tool-Use Mixture for LLM Reasoning
LoRA Without Regret
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical
Embodied AI: From LLMs to World Models
LLM Multi-Agent Systems: Challenges and Open Problems
CURVETE: Progressive Self-Supervision for Medical Image Classification
In-Context Learning: A Deeper Look at LLM Abilities
Atlas: Optimizing Context Memorization at Test Time
K2-Think: Small Model, Frontier Reasoning, Open-Source Advancement
Why Language Models Hallucinate
The LLM Reasoning Revolution: Regimes and Architectures
aiXiv: Open-Access Platform for AI-Generated Research
Chain-of-Agents: Next-Gen AI Problem Solving
GLM-4.5: Agentic, Reasoning, and Coding Foundation Models
Small Language Models: Future of Agentic AI
Hierarchical Reasoning Model: Brain-Inspired AI for Complex Tasks
Steering Large Language Model Personas
World Models in Artificial Intelligence