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Neural intel Pod
🧠 Neural Intel: Breaking AI News with Technical DepthNeural Intel Pod cuts through the hype to deliver fast, technical breakdowns of the biggest developments in AI. From major model releases like GPT‑5 and Claude Sonnet to leaked research and early signals, we combine breaking coverage with deep technical context, all narrated by AI for clarity and speed. Join researchers, engineers, and builders who stay ahead without the noise.🔗 Join the community: Neuralintel.org | 📩 Advertise with us: director@neuralintel.org
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2026. júl. 9.
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Epizódok
DMRA_ Diffusion Model with Representation Alignment for Protein Inverse Folding 05.01.2025 16:08
Discover how AI revolutionizes protein engineering through diffusion models and deep learning. Exploring a novel approach to predicting protein sequences from 3D structures, essential for drug discovery and synthetic biology.
Training Jacobians of Neural Networks 04.01.2025 17:55
Journey into deep learning fundamentals: Exploring how neural networks learn through their Jacobian matrices, and what this reveals about the training process. For ML practitioners and math enthusiasts.
xAI's Colossus_ A Million-GPU Supercomputer 03.01.2025 8:05
xAI's Colossus_ A Million-GPU Supercomputer
Situational Awareness_ The Coming Age of Superintelligence 02.01.2025 33:31
Situational Awareness_ The Coming Age of Superintelligence
The Return of Pseudoscience in AI 02.01.2025 23:47
The Return of Pseudoscience in AI
Surpassing OpenAI's O1_ Distillation and the Bitter Lesson 01.01.2025 26:19
Surpassing OpenAI's O1_ Distillation and the Bitter Lesson
Rebooting the Arsenal of Democracy 01.01.2025 4:31
Rebooting the Arsenal of Democracy
QwQ_ Exploring AI Reasoning Capabilities 31.12.2024 16:16
QwQ_ Exploring AI Reasoning Capabilities
Parametric PerceptNet for Image Quality Assessment 30.12.2024 16:06
Parametric PerceptNet for Image Quality Assessment
Optimizing Mixed-Input Matrix Multiplication on NVIDIA Ampere 29.12.2024 9:35
Optimizing Mixed-Input Matrix Multiplication on NVIDIA Ampere
OpenAI's o1_ Reasoning with LLMs 28.12.2024 13:46
OpenAI's o1_ Reasoning with LLMs
O1 Replication_ Distillation, Progress, and Lessons 27.12.2024 11:49
O1 Replication_ Distillation, Progress, and Lessons
Moto_ A Latent Motion Token Language Model for Robot Manipulation 26.12.2024 15:00
Moto_ A Latent Motion Token Language Model for Robot Manipulation
Nonlinear Unitary Photonic Circuits for Deep Learning 26.12.2024 14:17
Nonlinear Unitary Photonic Circuits for Deep Learning
MAG-V_ A Multi-Agent Framework for Synthetic Data Generation and Verification 26.12.2024 10:48
MAG-V_ A Multi-Agent Framework for Synthetic Data Generation and Verification
Machines of Loving Grace_ AI's Transformative Potential 25.12.2024 14:46
Machines of Loving Grace_ AI's Transformative Potential
Hybrid-SQuAD_ A Scholarly Question Answering Dataset 24.12.2024 17:26
Hybrid-SQuAD_ A Scholarly Question Answering Dataset
LearnLM_ A Google AI for Education 24.12.2024 12:08
LearnLM_ A Google AI for Education
HunyuanVideo_ A Large Open-Source Video Generation Model 23.12.2024 13:47
HunyuanVideo_ A Large Open-Source Video Generation Model
Fine-Tuning Mosquito Larvae Locomotion via Reinforcement Learning 22.12.2024 19:42
Fine-Tuning Mosquito Larvae Locomotion via Reinforcement Learning
Fine-Tuning LLMs with Ollama 21.12.2024 20:37
Fine-Tuning LLMs with Ollama
FedDW_ Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning 20.12.2024 20:22
FedDW_ Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning
Exphormer_ Scaling Transformers for Graph-Structured Data 20.12.2024 12:05
Exphormer_ Scaling Transformers for Graph-Structured Data
DHCP_ Detecting Hallucinations in Large Vision-Language Models 19.12.2024 10:48
DHCP_ Detecting Hallucinations in Large Vision-Language Models
Benchmarking 25 State-of-the-Art LLMs 18.12.2024 14:59
Benchmarking 25 State-of-the-Art LLMs
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