Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...

To address these challenges, Associate Professor Takuya Taniguchi from the Center for Data Science and Ryo Fukasawa from Graduate School of Advanced Science and Engineering at Waseda University, Japan ...

Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), officially launches HOOPS AI, the first framework purpose-built to unlock AI and machine learning for CAD ...

We are at the infancy of the biotech industry’s adoption of machine learning tools. But, over the next 20 years, a more “multidisciplinary and data-intensive approach to life sciences will shift our ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

SMPTE has released an updated engineering report examining artificial intelligence and machine learning in media ... Read More ...