Fibocom Introduces AI Solutions for Compute-intensive Applications
Fibocom unveils AI solutions for compute-intensive tasks at Computex 2024. Qualcomm processors power the new solutions, enhancing multimedia capabilities. Targeted…
A Glance at Quantum Computing Adoption and Privacy Engineering Challenges
Quantum computing adoption faces barriers due to system complexity. Privacy engineering is crucial in mitigating future security and privacy risks.…
OpenAI Faces Internal Strife and External Criticism
OpenAI faces internal conflicts and external scrutiny over AI practices. GPT-4o model launched, criticized amid internal disagreements. Employees demand safeguards…
Fast Pure Shift NMR Spectroscopy Using Attention‐Assisted Deep Neural Network
Attention-assisted DNN accelerates pure shift NMR spectroscopy with 5.4% NUS data. Enhances weak signal recovery and distinguishes close chemical shifts…
Advancements in Bayesian Optimization for Chemical Engineering Problems
Bayesian optimization aids chemical engineering under uncertainty. Study compares surrogate models, kernel, and acquisition functions. Findings show sparse Gaussian processes'…
Artificial Intelligence Utilized to Measure Stress in Agricultural Workers
AI and DL models used to classify stress in sugarcane harvesters. Four CNN models evaluated, DarkNet53 showed highest performance. AI…
Amazon Utilizes AI to Detect Product Defects
Amazon's Project P.I. enhances product quality control using AI. The system prevents defective items from reaching customers. Project P.I. supports…
Federated Knowledge Distillation for Enhanced Insulator Defect Detection in Resource-Constrained Environments
The IET Computer Vision article proposes a lightweight insulator defect detection model. The method uses federated knowledge distillation to enhance…
AI-Enhanced Blockchain Framework for Medicine Supply Chain Management
The framework integrates AI and blockchain to improve data validation and storage. IPFS and Hyperledger Fabric optimize storage and enhance…
Clustering Techniques Enhance Hierarchical Models for Concrete Strength Prediction
Advanced clustering enhances hierarchical models for concrete strength prediction. UPGMA outperforms HC in model accuracy and error reduction. Multi-layered clustering…