The researchers found that while organizations are beginning to integrate AI-driven forecasting models and optimization ...

From wildfire mitigation to renewable balancing, today’s grid is only as smart and resilient as the digital infrastructure ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

OpenAI introduced its most advanced models to date, o3 and o4-mini. These models represent a major step forward in the field ...

Although manual small incision cataract surgery (SICS) is widely practiced in countries of the global South, there is no ...

The first step in reverse engineering is determining whether the algorithm follows a purely random model (such as RNG) or exhibits deterministic characteristics (such as PRNG). Analyzing sequences ...

Autonomous AI agents are emerging as a pivotal force, transforming data operations from traditional retrospective analysis into proactive intelligence systems. Mahesh Kumar Goya is at the forefront of ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

TensorStax is operating in a nascent market for agentic AI in data engineering that was valued at just $2.7 billion last year ...

Generative AI creates fresh content while predictive AI uses algorithms ... styles and contexts. Common types of generative AI models Generative AI models produce new data based on a set of ...

Here’s how MIT Technology Review waded through a mess of data and hidden variables to calculate the individual and collective ...