I searched and prototyped for low-code and no-code platforms that would enable technology teams to spike and experiment with machine learning capabilities. I focused mainly on low-code application ...

Machine learning, concluded: Did the “no-code” tools beat manual analysis? In the finale of our experiment, we look at how the low/no-code tools performed.

Switzerland-based machine learning code review startup DeepCode — which bills itself as “Grammarly for coders” — has been acquired by Snyk, a post-unicorn valuation cybersecurity startup focused on ...

Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible.

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

As no-code AI has matured, it has also become valuable to seasoned data scientists and machine learning engineers, who are interested in automating the tedious parts of their job.

Machine learning security is business critical ML security has the same goal as all cybersecurity measures: reducing the risk of sensitive data being exposed. If a bad actor interferes with your ...

The modern GPU is more than a graphics device. Technologies such as the open-standard OpenCL and Nvidia’s CUDA turn the many small processors in a GPU into a parallel computing fabric, allowing ...