Algorithm

Data is the lifeblood of the digital age. Algorithms collect, store, process, and analyze it to create new insights and value. The data life cycle is the process by which data is created, used, and disposed of. It typically includes the following stages: Data collection: Data can be collected from a variety of sources, such as sensors, user input, and public records. Data preparation: Data is often cleaned and processed before it can be analyzed. This may involve removing errors, formatting data consistently, and…

UK startup Phasecraft has developed an algorithm that brings the promise of quantum computers’ potential to reveal new materials and their properties much closer to realisation.  Due to their ability to simulate multiple complex quantum systems, quantum computers hold incredible potential in the field of material science. In turn, this could lead to technological leaps in fields such as energy, manufacturing, and medicine.  There is still a long way to go for quantum computers to scale and…

In an era when data management is critical to business success, exponential data growth presents a number of challenges for technology departments, including DRAM density limitations and strict budget constraints. These issues are driving the adoption of memory tiering, a game-changing approach that alters how data is handled and stored. Non-Volatile Random Access Memory (NVRAM), which is becoming more affordable and popular, is one of the key technologies designed to work within a tiered memory architecture.  This…

Forget about artificial intelligence (AI) and all that fancy math for a moment. Let’s talk about cheese. Specifically when you are creating a charcuterie board. If you’re not familiar, the United State’s version of a charcuterie board is (literally) a board of wood or stone with a spread of meats, cheeses, and other tasty bits. If you’re doing it right, each meat on the board has been meticulously paired with a specific cheese to complement flavor, texture, and appearance (we eat with our eyes, you know). Creating a board…

Graphic Processing Units (GPUs) have crossed new horizons and demonstrated notable advantages in Big Data processing and other computation-intensive operations. Apart from their most widely known application in rendering 2D/3D graphics and animations in the gaming industry, modern GPUs can also be coded to perform complex computations such as image processing for scientific simulations and architecture projects, blockchain/cryptocurrency development, and mining, Data Analytics, AI/ML development, and handling…

Picture a future where commerce is not just an exchange of goods and services but an intricate relationship of data, insights, and artificial intelligence (AI). This is the new reality for product leaders in the digital age, where AI is no longer a distant possibility but an integral part of everyday business. The AI revolution in commerce is redefining how we approach buying, selling, and market interaction, offering unprecedented opportunities and challenges. The impact of AI on commerce platforms is transformative.…

The oil industry has been a significant contributor to global economies, providing essential energy resources. In recent years, the industry has experienced rapid advancements, primarily due to the integration of artificial intelligence (AI) technologies. AI has proven to be a game-changer, revolutionizing various aspects of oil production.   1. Predictive Maintenance and Equipment Optimization Artificial intelligence algorithms can analyze vast amounts of data from sensors installed in different equipment components,…

Most traditional fraud detection systems are slow, inaccurate, and outdated. Machine learning models can react swiftly and adapt constantly, making them the ideal alternative. Developers who properly train and implement these algorithms can prevent fraudulent activity at a scale never before seen.  Why Use Machine Learning Models for Fraud Detection? Fraud is growing more severe every year, causing increasingly significant damage. Online payment fraud caused $41 billion in e-commerce losses in 2022 alone. Conventional…

Advances in AI technology are playing a crucial role in the evolution of the cybersecurity sector. Markets and Markets reports that global companies will spend over $60 billion on AI-driven cybersecurity solutions in 2028. Some of the benefits of AI in cybersecurity include: Scanning devices for vulnerabilities far more quickly than humans could. Handling incident-response management more quickly. Automating threat detection. Conducting risk-scoring more effectively than humans. Improving cyber defense…

Artificial Intelligence (AI) has changed many areas, like healthcare and finance, by bringing new solutions and making things more efficient. Yet, this quick growth has led to a big problem: AI bias. AI systems learn from data. If this data has biases from past unfairness, social stereotypes, or uneven sampling, AI models might continue and even increase these biases. This issue is really important in areas like credit scoring, hiring, and law enforcement. In these fields, biased decisions can greatly affect people's…