When using SFTTrainer with large datasets that require long preprocessing times (over 30 minutes), the training process consistently fails due to a PyTorch ...
Researchers in the ScopeX Lab and the Yao Group are harnessing the power of the photon for accelerated AI modeling and novel infrared detection, respectively. The ScopeX Lab works at the intersection ...
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 ...
We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community byEScholar: Electronic Academic Papers for Scholars@escholar byEScholar: ...
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 ...
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 ...
Accurate and reliable grasp generation in 3D space—where grasp poses must be expressed in terms of position and orientation—requires algorithms that can generalize across unknown objects, diverse ...
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 ...
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