In today’s technology-driven world, the importance of user-centered design cannot be overstated. Understanding the evolution of user-centered system design and interaction design allows us to build upon past insights and create more meaningful experiences for users. This article dives into the past and present perspectives of user-centered design, exploring the
Supervised Learning is a type of algorithm that contains well-categorized data, and based on the statistics of that data, machines predict very accurate results.
Recurrent Neural Networks or RNN’s are commonly called is a powerful algorithm and contain a unique distinction. Of all the algorithms prevailing in the market, this is the only one with an internal memory.
Deep Belief Networks or DBN is a state of the art algorithm that uses unsupervised learning machine model to produce the output.
Face recognition is one of the techniques in the fields of image analysis and computer vision due to its wide practical applications in biometrics, information security, law enforcement and surveillance systems. Factors such as illumination, emotion, occlusion, facial expressions and poses, which greatly affect the performance in achieving efficient and robust face recognition systems.
Medical image analysis is the computational analysis of medical images, most commonly with computed tomography (CT) and magnetic resonance imaging (MRI).
According to Andrew Trounson, Patients with paralysis are successfully using computers and phones with their minds in the first human testing of a tiny device that interprets brain impulses.
Machine-learning algorithms often require human input to train and can be vulnerable to adversarial inputs that fool the system.
It’s evident that the only way to defend against intelligent cyber weapons is with intelligent software, and recent events have proved that malware and cyber-weapons intelligence is fast developing.
A network effect is a phenomenon that occurs when the value of a product or service increases as more people use it.
