Accenture has agreed to acquire German engineering consultancy and services firm umlaut. The acquisition should boost Accenture’s deep engineering capabilities to help companies use digital technologies such as 5G, artificial intelligence and cloud to transform […]
































A new player has entered the machine learning arena. While big players such as Google, Intel and NVIDIA have been slugging it out, Amazon has thrown its hat into the ring with its newly-launched Inferentia chip.
NVIDIA and Microsoft have announced that Microsoft Azure is now supported on the NVIDIA GPU Cloud (NGC) platform.
A battle of sorts is taking place in the field of artificial intelligence (AI). It has been widely reported that China is ramping up its focus on the technology that is expected to transform businesses and industries. Numbers from ABI Research point to a swing in favour of China.
With its ability to crunch massive data and make predictions, it was only a matter of time before artificial intelligence (AI) was going to be applied to gambling, if it had not already done so.
Artificial intelligence (AI) is on the rise with global business value expected to hit US$1.2 trillion in 2018, an increase of 70 percent from 2017, according to Gartner.
Cryptics has launched what it claims is the world’s first cryptocurrency analytics solution based on artificial intelligence (AI).
H2O.ai has announced that its Driverless AI automated machine learning platform and H2O4GPU open source GPU-accelerated machine learning package are now both fully optimised for the latest-generation NVIDIA Volta architecture GPUs — the NVIDIA Tesla V100 — and CUDA 9 software.
Arm is taking its recently-announced Project Trillium a step further with a collaboration with NVIDIA. The partners will bring the open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture into 




Think artificial intelligence (AI) and the advent of powerful thinking machines and images of Arnold Schwarzenegger of The Terminator come to mind.
