Building Transformer-Based NQS for Frustrated Spin Systems with NetKet
The intersection of many-body physics and deep learning has opened a new frontier: Neural Quantum States (NQS). While traditional methods...
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UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size
The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add...
A Technical Deep Dive into the Essential Stages of Modern Large Language Model Training, Alignment, and Deployment
Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw...
Google DeepMind Releases Gemini Robotics-ER 1.6: Bringing Enhanced Embodied Reasoning and Instrument Reading to Physical AI
Google DeepMind research team introduced Gemini Robotics-ER 1.6, a significant upgrade to its embodied reasoning model designed to serve as...
TinyFish AI Releases Full Web Infrastructure Platform for AI Agents: Search, Fetch, Browser, and Agent Under One API Key
AI agents struggle with tasks that require interacting with the live web — fetching a competitor’s pricing page, extracting structured...
NVIDIA and the University of Maryland Researchers Released Audio Flamingo Next (AF-Next): A Super Powerful and Open Large Audio-Language Model
Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world...
Как ИИ превращает фейк в правду?
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A Step-by-Step Coding Tutorial on NVIDIA PhysicsNeMo: Darcy Flow, FNOs, PINNs, Surrogate Models, and Inference Benchmarking
print("\n" + "="*80) print("SECTION 4: DATA VISUALIZATION") print("="*80) def visualize_darcy_samples( permeability: np.ndarray, pressure: np.ndarray, n_samples: int = 3 ): """Visualize...
An Implementation Guide to Building a DuckDB-Python Analytics Pipeline with SQL, DataFrames, Parquet, UDFs, and Performance Profiling
In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on...
AI News: Altman Attack, GPT-10, Deepfakes & xAI | Apr 11
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Meta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model
Researchers from Meta AI and the King Abdullah University of Science and Technology (KAUST) have introduced Neural Computers (NCs) —...
MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2
MiniMax has officially open-sourced MiniMax M2.7, making the model weights publicly available on Hugging Face. Originally announced on March 18,...
How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns....
Meet EcoTrack: Your AI Guide to a Greener Lifestyle! #Shorts
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Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
Modern AI is no longer powered by a single type of processor—it runs on a diverse ecosystem of specialized compute...
Meta Superintelligence Lab Releases Muse Spark: A Multimodal Reasoning Model With Thought Compression and Parallel Agents
Meta Superintelligence Labs recently made a significant move by unveiling ‘Muse Spark’ — the first model in the Muse family....
Sigmoid vs ReLU Activation Functions: The Inference Cost of Losing Geometric Context
A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form...
