A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

A new survey paper describing Micron’s Automata Processor (AP) was recently published. AP has many potential applications in data mining, bioinformatics, natural language processing, etc. Micron has ...

Bittensor's subnet architecture is a highly compatible place to deploy collective intelligence. Therefore, mining on revenue generating Bittensor subnets is a natural fit for the Crunch community.

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Key market opportunities in Saudi Arabia's data mining tools sector include the expansion of cloud-based solutions, driven by the shift to cloud computing, and increasing demand from SMEs for ...

DENVER--(BUSINESS WIRE)--Palantir Technologies Inc. (NYSE: PLTR), a leading provider of AI systems, today announced it had been recognized as a top performer by Dresner Advisory Services in the 2024 ...

With technology growing faster than ever, many Class 12 students dream of working in IT, AI, or data-driven fields. Data is now called the “new oil,” .