Add Decrypt as your preferred source to see more of our stories on Google. Cybersecurity firm Group-IB has warned that ransomware family DeadLock is using Polygon smart contracts to distribute and ...

When using SFTTrainer with large datasets that require long preprocessing times (over 30 minutes), the training process consistently fails due to a PyTorch ...

New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...

A new technical paper titled “AuthenTree: A Scalable MPC-Based Distributed Trust Architecture for Chiplet-based Heterogeneous Systems” was published by researchers at University of Central Florida and ...

byPhotosynthesis Technology: It's not just for plants! @photosynthesis Cultivating life through Photosynthesis, harnessing sunlight to nourish ecosystems and fuel a sustainable future. Cultivating ...

Abstract: In this paper, we propose a novel distributed scheduling algorithm for time-division multiple access (TDMA) in diffusion-based molecular communication systems. We consider a receiver nano ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Abstract: Distributed adaptive filtering has emerged as a critical methodology across diverse application domains, including wireless sensor networks, distributed signal processing, and intelligent ...