School of Computer Science Assistant Professor Sahil Singla was awarded an NSF CAREER Award to create new, more efficient ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Major tech companies now generate 30% of code with AI. Explore the dramatic shift from manual coding to AI orchestration—and ...

Machine learning and deep learning tasks demand substantial computing power. Whether you’re training a convolutional neural network on image data or running large language models, having a laptop with ...

Machine learning algorithm for prediction of inpatient treatment-related ... inpatient mortality at the very time of hospitalization and risk-adapted resource allocation. Such data-driven approaches ...

Abstract: Geo-distributed machine learning (GDML) can facilitate collaborative ... Subsequently, we propose an innovative resource allocation algorithm based on genetic algorithm (GARA) for GDML in ...

Unlike LRU, which relies solely on recency, Sieve adapts dynamically to workload patterns using statistical techniques and machine learning ... feature in distributed systems. By enhancing query ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

The study employs innovative spreading factor (SF) and hybrid models, along with K-means and DBSCAN algorithms, to optimize the allocation ... with distributed machine learning, the network ...

By using advanced quantum-inspired algorithms ... Multiverse Computing recently completed the AWS Gen AI Accelerator program which included AWS credits, mentorship and resources to expand AI and ...

Abstract: Split Federated Learning (SFL) has emerged as a promising ... joint optimization of model aggregation control and computing and communication resource allocation, and lack distributed ...