Machine learning has become a fundamental part of many large businesses and is allowing them to make data-driven decisions with greater accuracy. Sectors like banking and finance, healthcare, manufacturing, transportation, and retail are undergoing significant transformations due to the implementation of machine learning. The latest advancements in this technology have brought about a revolution that was once inconceivable.

Malware of different families often share specific behavioral patterns that can be studied and identified through Machine learning’s static and dynamic analysis. Static analysis involves the study of malicious files’ content without executing them. On the other hand, in dynamic analysis the behavioral aspects of malicious files are analyzed by executing tasks like function call monitoring, information flow tracking, and dynamic binary instrumentation. Through machine learning the static and dynamic artefacts of the malware can be used to predict the evolution of modern malware structure which can then empower systems to detect more complex malware attacks that otherwise are exceedingly difficult to predict by traditional methods.

While Virtual Reality (VR) has long passed the hype of being called “Futuristic Technology”, now the solutions built around it are solving many real-world problems. It has delivered use cases in many industries including healthcare, entertainment, and tourism, and has become a key component of many businesses’ new product development plans.

The wall between the real and virtual world is breaking down with the advancement in

Technology has always been transforming every aspect of human lives and healthcare. Proper implementation of technologies can improve the functioning of healthcare organizations. Advanced technologies like augmented and virtual reality are rapidly changing our way of living.

Demand forecasting can be a vital factor for success in the retail business that can

Robust transport infrastructure for goods and population is seen as a key driver for macroeconomic growth. Digital technologies like computer vision-based AI and machine learning can help monitor the quality and structural integrity of a vastly distributed network of roads, railway lines, bridges, transit stations, and cargo hubs. That helps in planning maintenance actions to ensure 100% availability of assets on critical network paths at optimal operational costs.

Sources of Volatile Organic Compounds (VOCs) Some common sources of VOCs are as follows: In

Utilizing Machine Learning technology is not so tough now. It doesn’t require a deep understanding of the algorithm, statistics and probability. At present, it’s as simple as calling an API. Thanks to the magical invention done by OpenAI.