Machine learning is an increasingly prevalent buzzword in the media. Its applications in science and the private sector are frequently discussed—but what about global development? Can it also help ...

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...

In the latter part of the 2000s, DevOps solutions emerged as a set of practices and solutions that combines development-oriented activities (Dev) with IT operations (Ops) in order to accelerate the ...

NVIDIA launched the Jetson Xavier NX embedded System-on-Module (SoM) at the end of last year. It is pin-compatible with the Jetson Nano SoM and includes a CPU, a GPU, PMICs, DRAM, and flash storage.

Relatively small and dispersed data sets and privacy issues represent two challenges in applying machine learning in drug development. Enter predictive analytics firm Owkin, which aims to overcome ...

Most discussions of developers making use of machine learning revolve around creating AI-powered applications and the tools used to create them: TensorFlow, PyTorch, Scikit-learn, and so on. But there ...