Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Meeting the growing food demand is a significant challenge, exacerbated by weed-induced crop production constraints. Conventional weed management methods, such as herbicides, have inadvertently ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Datagen, a Tel Aviv, Israel-based startup offering a platform to create ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated learning ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety. Devops teams aim to increase deployment frequency, reduce the number of ...

Sajal works at Kyndryl, advises startups, ex-Innovation Expert for UN Compact and member, EU Commission's Apply AI Alliance. The AI industry is bound to face a paradox. Synthetic data can democratize ...