Large language models (LLMs) like ChatGPT, GPT-4, PaLM, LaMDA, etc., are artificial intelligence systems capable of generating and analyzing human-like text. Their usage is becoming increasingly prevalent in our everyday lives and extends to a wide array of domains ranging …
Emotion AI, also known as affective computing, is a wide range of technologies used to learn and sense human emotions with the help of artificial intelligence (AI). Capitalizing on text, video, and audio data, Emotion AI analyzes several sources to …
In today’s fast-paced, technology-driven world, developing and deploying software applications is no longer enough. With the rapidly escalating and evolving cyber threats, security integration has become integral to development and operations. This is where DevSecOps enters the frame as a …
In the AI ecosystem, diffusion models are setting up the direction and pace of technological advancement. They are revolutionizing the way we approach complex generative AI tasks. These models are based on the mathematics of gaussian principles, variance, differential equations, …
The availability of vast data sources and advanced machine learning technologies has given rise to a new system of influence known as influence engineering. It can guide user behavior and lead to new customer acquisition.
Using computer vision and pattern …
AI has been gathering the attention of organizations globally due to its ability to automate repetitive tasks and enhance decision-making capabilities. Earlier, AI was only available to big corporations and universities for conducting academic research or building high-cost proprietary tools. …
In today’s data-driven world, data storytelling is becoming increasingly important for decision-making and business growth. Data analytics roles such as market research analyst, financial analyst, and operations research analyst are getting prevalent as companies realize the importance of data-driven insights.…
High AI training costs have been a significant barrier to AI adoption, preventing many companies from implementing AI technology. According to a 2017 Forrester Consulting Report, 48% of companies highlighted high technology costs as one of the primary reasons for …
A data scientist is a person who gathers, preprocesses, and analyzes data to help organizations make data-driven decisions. Data science has been a buzzword in the job market for a while now, but today, it is one of the fastest-growing …
The latest unceasing and innovative technological advancements are led by domains like artificial intelligence (AI), robotics, blockchain, and programmable biology. These technologies are revolutionizing retail, automobile, finance, manufacturing, and many more industries on both, macro and micro levels.
AI, in …
Today, innovation-driven businesses are investing significant resources in artificial intelligence (AI) systems to advance their AI maturity journey. According to IDC, worldwide spending on AI-centric systems is expected to surpass $300 billion by 2026, compared to $118 billion in 2022.…