Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing industries, enhancing efficiency, and driving innovation. However, as AI systems become increasingly integrated into our daily lives, the need for ethical AI governance has never been more pressing. Ethical concerns such as bias, fairness, transparency, accountability, and privacy must be addressed to ensure that AI… Continue reading Ensuring Ethical AI Governance
Category: AI
BLOCKCHAIN
A blockchain is a distributed database that maintains a continuously growing list of ordered records, called blocks. These blocks are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data. A blockchain is a decentralized, distributed and public digital ledger that is used to record transactions across… Continue reading BLOCKCHAIN
Hierarchical Clustering
Hierarchical clustering is an unsupervised machine learning algorithm used to group data points into various clusters based on their similarity. Hierarchical clustering creates a hierarchy of clusters, where each cluster can be further divided into smaller clusters. It builds a dendrogram, a tree-like structure to represent the relationships between data points. There is no need… Continue reading Hierarchical Clustering
ShuffleNet and SqueezeNet
ShuffleNet is a convolutional neural network architecture designed specifically for mobile devices with very limited computing power. ShuffleNet aims to achieve high accuracy while minimizing computation cost. ShuffleNet introduces this operation to reduce computation. It combines pointwise convolutions, 1×1 convolutions with group convolutions. The group convolutions allow efficient parallelization across channels. It groups input channels… Continue reading ShuffleNet and SqueezeNet
MobileNetV2
MobileNetV2 is a convolutional neural network architecture designed to perform well on mobile devices. It is based on an inverted residual structure, where the residual connections occur between the bottleneck layers. The intermediate expansion layer employs lightweight depth wise convolutions to filter features, serving as a source of non-linearity. It aims to strike a balance… Continue reading MobileNetV2
Support Vector Machine
Support Vector Machine (SVM) is a type of supervised learning algorithm that can be used for classification or regression tasks. The algorithm is used specifically for sample, high dimensional facial recognition problems. It is a classifier developed from a generalized portrait algorithm. In face recognition, we use the extracted face features and SVM to find… Continue reading Support Vector Machine
Cognitive Computing
Cognitive computing is a branch of artificial intelligence (AI) that aims to simulate human thought processes in a computerized model. It involves the development of systems that can understand, reason, learn, and interact with humans in natural language. Cognitive computing systems often leverage various AI techniques such as machine learning, natural language processing (NLP), computer… Continue reading Cognitive Computing
AI & Finance Management: Pros and Cons
AI (Artificial Intelligence) in financial management has brought about significant changes and improvements, but it also presents its own set of challenges. Here are some advantages and disadvantages: Advantages: Automation: AI can automate repetitive tasks such as data entry, transaction categorization, and report generation, freeing up time for financial managers to focus on higher-value tasks.… Continue reading AI & Finance Management: Pros and Cons
Navigating the Road Ahead: Developing AI Algorithms for Autonomous Decision-Making in Self-Driving Cars
Introduction: Self-driving cars have emerged as a transformative technology promising to revolutionize transportation, offering safer, more efficient, and convenient mobility solutions. At the heart of this innovation lies artificial intelligence (AI) algorithms responsible for making critical decisions in real-time. Developing these algorithms poses significant challenges but holds immense potential to reshape the future of transportation.… Continue reading Navigating the Road Ahead: Developing AI Algorithms for Autonomous Decision-Making in Self-Driving Cars
The Impact of AI-Driven Automation in Financial Institutions
In the fast-paced world of finance, the efficiency of back-office operations is critical to the success of financial institutions. With the advent of artificial intelligence (AI) technology, automation has become a powerful tool for streamlining processes and driving operational excellence. In this article, we explore the transformative impact of AI-driven automation applications in financial institutions,… Continue reading The Impact of AI-Driven Automation in Financial Institutions