Market was estimated to be worth USD 1025 Million in 2023 and is forecast to a readjusted size of USD 3478.4 Million by 2030 with a CAGR of 9.8% during the forecast period 2024-2030.

Michael Pollan offered us Food Rules; today, researchers armed with machine learning and 50,000 grocery items are trying to ...

What does it mean when machines start thinking for themselves? We’ll break down the concept of machine learning and how it’s ...

Thejas Prasad and his views have helped in integrating advanced AI and machine learning technologies into scalable ERP ...

This open-source database utilizes machine learning to assess food processing, promoting nutrition security and informed ...

As we step into 2025, the automotive retail industry is ready to take its next step in modernizing its operations, where ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had ...

Scala 2003: Martin Odersky Primarily used for handling massive datasets and building scalable machine learning applications.

That said, Super Cruise remains one of the better implementations of what the industry has inelegantly labeled "level 2+" ...

Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...

Tsechansky uses artificial intelligence to judge the judges: to evaluate the rates at which experts make successful decisions. Her machine learning algorithm can appraise both doctors and other kinds ...