UK Election Sparks AI and Tech Regulation Debate
UK election ignites debate on AI and tech regulation. Experts stress need for immediate technological efficiencies and robust data strategies.…
Anomaly Detection in Surveillance Videos Enhanced by Mutual Learning and Cropped Snippets
Mutual learning improves detection accuracy in surveillance videos. Cropped snippets mitigate noise, enhancing feature training. Achieved 85.78% frame-level AUC on…
A Novel Ensemble Deep Reinforcement Learning Model for Short‐Term Load Forecasting Based on Q‐Learning Dynamic Model Selection
The proposed model uses Q-learning for dynamic weight adjustment. RNN, LSTM, and GRU are the primary predictors in the ensemble.…
AI-Based Method for Improving Frequency Response Testing and Measurement Error Prediction in DCTV
AI-based method enhances DCTV frequency response tests and error prediction. Combines AC and DC superposition, voltage change, and phase correction.…
Computer Vision Pioneers in Detecting Eye Diseases Using Pre-trained ImageNet Models
The study uses pre-trained ImageNet models for automated eye disease detection. InceptionResNetV2 achieved the highest accuracy of 93% among tested…
Artificial Intelligence and Privacy Concerns: New Scale Validation and Implications
AI in business merges diverse data into unified consumer profiles. Privacy concerns about AI misuse include biases and data removal…
EU Intensifies Scrutiny on AI Deals Involving Tech Giants
The EU investigates AI deals involving Microsoft-OpenAI and Google-Samsung. Concerns about market dominance and anti-competitive practices prompt inquiries. Outcomes may…
Microsoft Reveals Vulnerable AI Models with Skeleton Key Attack
Microsoft found the Skeleton Key AI jailbreak technique. It affects models like GPT-4, Llama3, and Gemini Pro. Microsoft shared mitigation…
OpenAI Blocks China and Hong Kong Access
OpenAI blocks access from mainland China and Hong Kong. The move impacts Chinese AI adoption and innovation dynamics. Global AI…
Analyzing Closed-Loop Stability in Deep Reinforcement Learning Systems
Study explores stability in dynamic systems using DRL controllers. Combines Lyapunov analysis and polynomial approximations for insights. Includes rigorous testing…
