Artificial intelligence
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Google Launches Simula: A Thinking-First Framework for Generating Controllable, Scalable Artificial Datasets in All Special AI Domains
Training powerful AI models relies on one resource that is running out of steam: specialized data. While the Internet has…
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The Engineering Layer That Makes ADLC Really Work
Introduction Most organizations experimenting with AI in software development have hit the same wall: promising prototypes, but no consistent impact…
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Code Execution in Qwen 3.6-35B-A3B Including Multimodal Inference, Control Inference, Tool Hitting, MoE Routing, RAG, and Session Persistence
class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list[dict] = []…
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Physical AI: How AI Vision Helps Machines Understand the Real World
Physical AI is becoming one of the most important concepts in modern AI. Instead of working only with textual instructions…
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Coding Implementation in Microsoft’s Phi-4-Mini Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning
import subprocess, sys, os, shutil, glob def pip_install(args): subprocess.run([sys.executable, "-m", "pip", "install", "-q", *args], check=True) pip_install(["huggingface_hub>=0.26,<1.0"]) pip_install([ "-U", "transformers>=4.49,<4.57", "accelerate>=0.33.0",…
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How AI Bug Detection at Scale Reduces Costs Across the Full Dev Cycle
Introduction Bug fixing is one of the most expensive and often overlooked aspects of modern software delivery. A defect caught…
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OpenAI Scales Trusted Access to Cyber Defense with GPT-5.4-Cyber: A Fine-Tuned Model Built for Certified Security Defenders
Cybersecurity has always had a dual use problem: the same technical knowledge that helps defenders detect vulnerabilities can also help…
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Moonshot AI and Tsinghua Researchers Propose PrfaaS: A Cross-Datacenter KVCache Architecture That Rethinks How LLMs Are Used at Scale
For years, the way major language models handle inference has been stuck inside the box – literally. The high-bandwidth RDMA…
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Meet OpenMythos: An Open-Source PyTorch Reconstruction of Claude Mythos Where 770M Parameters Are Like a 1.3B Transformer
Anthropic has never published a technical paper on the Claude Mythos. That hasn’t stopped the research community from theorizing. A…
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How TabPFN Uses In-Context Learning to Achieve Higher Accuracy on Tabular Data Compared to Random Forest and CatBoost
Tabular data—structured information stored in rows and columns—is at the heart of many real-world machine learning problems, from health care…
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