Nabla’s communication modules, which are connected to its machine learning-powered physician console, have been available to third parties, via APIs and SDKs, for about the past three months ...

Kriti Goyal used her master's degree and strategic networking to move to the US and succeed in AI at a major Big Tech company ...

Machine learning certifications “are definitely worth getting,” says Tharindu Fernando, a full-stack developer at Net Speed Canada, a site that provides data to help clients choose the best ...

To stay on top of cutting-edge AI innovation, it’s time to upgrade your technology stack. Learn how advances in computer architecture are unlocking new capabilities for NLP, visual AI ...

Facebook’s machine learning technology stack reflects its goals of making it easy to research new models while delivering inference at scale and offloading some computation to edge devices.

Learn more about the incredible scale and complexity of machine learning in ad tech with Yunshi Zhao, ML engineer at Liftoff Mobile. Zhao also part of the diversity, equity, and inclusion (DEI ...

Artificial intelligence has been a hot technology area in recent years and machine learning, a subset of AI, is one of the most important segments of the whole AI arena. Machine learning is the ...

Startups are making rapid progress in building decentralized pre-training and post-training machine learning. Can they ...

“Having a machine learning model registry is becoming an essential part of the machine learning technology stack. Current SaaS solutions can lead to a divergence in the lifecycle of ML models ...

3. Find Analytical Solutions In Known Environments. Machine learning can be used in robotics, business strategy planning, telecommunications—in other words, wherever the environment is known but ...