Read Time: 9 minutesIntroduction to AI-Driven Wearable Devices and Their Security Implications The integration of AI into wearable devices, such as glasses, represents a significant leap forward in the field of augmented reality and personal computing. Meta’s development of AI-powered glasses with advanced sensing capabilities embodies this trend, leveraging on-device local core machineRead More →
Read Time: 10 minutesIntroduction to Smart Glasses and Expanded IoT Threat Landscape The introduction of Meta’s affordable smart glasses marks a significant milestone in the evolution of Internet of Things (IoT) technology, poised to dramatically enhance accessibility and interaction within the digital realm. At the core of this innovation lies the convergence ofRead More →
Read Time: 9 minutesEvolution of AI-Driven Cyber Threats in Virtual Assistants import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense # Define a simple neural network model model = Sequential([ Dense(64, activation=’relu’, input_shape=(784,)), Dense(32, activation=’relu’), Dense(10, activation=’softmax’) ]) # Quantize the model weights quantized_model = tf.model_optimization.quantization.keras.quantize_model # Apply quantization toRead More →
