This rubric explores in depth new and critical developments in the scientific arena that rely heavily upon data analytics and data science, from advancements that benefit archeology and geology to the spread of language and cultural patterns.
The state-of-the-art models like GPT-4 and PaLM 2 have demonstrated the ability to perform complex tasks requiring reasoning and decision-making, pushing the boundaries of automated… Read More »Automation Game-Changer: Exploring GPT Function Call with AWS S3 Integration
Artificial intelligence is a rapidly evolving technology. Its versatility and unique functions make it a prime candidate for firefighting. In addition, its processing speed is… Read More »Is AI the key to fighting wildfires?
The majority of us are using ChatGPT incorrectly. The prompts we provide do not include examples. The fact that roles allow us to modify ChatGPT’s actions… Read More »How to get ahead of the curve when using ChatGPT
Deep learning guru, NYU professor, and chief AI scientist at Meta Yann LeCun has been bullish about neural nets for years now. But in March… Read More »Countering the LLM parrot worshippers
Smile, you are being watched. Over the past few years, facial recognition technology has captivated the world with its awe and apprehension. Everyone in the… Read More »The Future of Facial Recognition: Promoting Responsible Deployment and Ethical Practices
During the past decade, the publishing industry has undergone significant transformations due to the development of digital platforms and the widespread availability of user-generated content.… Read More »Publishing Industry: The Extreme Crucial Role of AI in Content Moderation
Discover the differences between AI, machine learning, and deep learning in this comprehensive guide. Learn how each technology works, their key applications, and the skills required for a career in data science.
From image recognition to autonomous vehicles to predictive analytics in healthcare, artificial intelligence (AI) applications are exploding today. Taking a conscious look at the methodology… Read More »An Overview of the Role Data Plays in AI Development
Over the years of working on commercial AI projects, I have come across various products and business domains that have adopted machine learning algorithms. This experience helped me form some best practices for selecting the right algorithms for different types of business tasks. In this article, I will share some valuable insights from my experience regarding how to work with them in the most efficient way to meet the client’s business needs.
Artificial Intelligence (AI) is sweeping the globe, leaving no stone unturned as it reshapes industries far and wide.
