GitHub

DHARMA-Decode-Heterogeneous-Architecture-RISC-native-Memory-Acceleration/README.md at main · ericrenone/DHARMA-Decode-Heterogeneous-Architecture-RISC-native-Memory ...

The Problem: GPUs are optimized for prefill's parallelism. Decode forces them into sequential, memory-bound regimes—suboptimal by design. The Solution: Let GPUs do prefill (what they're good at). Let ...
Tech Times

Baidu OCR Breaks Long-Document Memory Wall: New Architecture Beats DeepSeek

Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
techtimes

Embodied AI World Models Attracted $6 Billion, But the LLM Parallel May Not Hold

The robot AI investment community has a story it tells about its own future: world models will do for physical machines what transformers did for language. Pre-train on the dynamics of the physical ...
TechCrunch

OpenAI is bringing on some big guns in the lead-up to its IPO

OpenAI is bringing on some big names to the team in the lead-up to its public debut: Google DeepMind AI legend Noam Shazeer and former Trump White House AI policy official Dean Ball. Shazeer, a ...
IEEE

Leveraging Transformer Networks for Enhanced Detection of Hardware Trojans via Power Side-Channel Analysis

Abstract: The proliferation of Hardware Trojans (HTs) poses a critical threat to the reliability and security of integrated circuits (ICs), particularly in safety and mission-critical domains.
IEEE

Interpretable Merging-Vehicle Acceleration Prediction via a Decoder-Only Transformer and Attention Map Clustering

Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...