🧮 Intel MKL-DNN - hello · Scour

BiKA: Kolmogorov-Arnold-Network-inspired Ultra Lightweight Neural Network Hardware Accelerator

arxiv.org·1d

maderix/ANE: Training neural networks on Apple Neural Engine via reverse-engineered private APIs

github.com·14h·

Discuss: Hacker News

Bridging the Semantic Gap in Neural Network Execution and Verification for Safety-Critical Systems

dev.to·12h·

Discuss: DEV

Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection

jmlr.org·19h

Right-sizes LLM models to your system's RAM, CPU, and GPU

news.ycombinator.com·1d·

Discuss: Hacker News

🔗Intrusive Containers

Exclusive: Stealth AI startup founded by Cambridge scientists unveils plan to challenge Nvidia’s dominance

sifted.eu·2h

🛡️AI Security

Qwen3.5-4B-GGUF is here!

huggingface.co·18h·

Discuss: r/LocalLLaMA

TurboSparse Efficiency: Achieving 97% Parameter Sparsity in Mixtral-47B

hackernoon.com·5h

The 4 MLOps Pillars for LLMs: How to Deploy AI Without Breaking Production

pub.towardsai.net

·12h

ISSCC 2026: Rebellions details industry's first quad-chiplet AI solution with UCIe interconnects — claims Rebel100 AI accelerator equals the power of Nvidia H200 with lower power envelope

tomshardware.com

·15h

⚡Hardware Acceleration

Entrpi/eemicrogpt: The most extreme way to train a GPT in pure, dependency-free C. 1546x faster than Python. Optimized for Apple Silicon with SME2.

github.com·16h·

Discuss: Hacker News

Intel Releases llm-scaler-vllm 0.14.0-b8, Talks Up 1.49x Performance With BMG-G31

phoronix.com·21h

Is this your AI? ZEN framework cracks AI black box

techxplore.com·13h

🛡️AI Security

The Architecture Behind Open-Source LLMs

blog.bytebytego.com·15h

SymTorch: A PyTorch Framework for Symbolic Distillation of Deep Neural Networks (Elizabeth S.Z. Tan et al

astroautomata.github.io·2d

Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

jmlr.org·19h

Running Machine Learning on Microcontrollers

dev.to·1d·

Discuss: DEV

ASML wants to go beyond EUV: expansion into advanced AI chips

techzine.eu·18h

⚡Hardware Acceleration

How I Built a Full AI Studio for 6GB VRAM Cards (In 9 Hours of AI-Assisted Chaos)

hackernoon.com·10h

Unfair Inequality in Education: A Benchmark for AI-Fairness Research

nature.com·16h

📊Data Science

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