David Curry

The publication of these principles comes as policymakers across the world have proposed regulations to ensure that AI is focused on safety, privacy, and responsible pursuits.

5G IoT connections are expected to increase by 1,100% by 2026, from 13 million in 2023 to 110 million by 2026. This will be led by smart cities.

Cities are utilizing climate platforms to better inform them of the effects of environmental policies and decisions on reducing carbon emissions.

Self-driving vehicles could alleviate congestion by the instalment of a new traffic light, which would allow AVs to control the flow of traffic.

Red Hat announced that the Ansible Automation Platform will be available on Google Cloud Marketplace, providing customers with a way to simplify self-deployments.

OpenAI chatbot ChatGPT has impressed medical practitioners with its ability to answer medical questions without any prior research.

For businesses looking to modernize, a defined strategy, buy-in from C-suite executives, and better understanding of data quality, control, and governance can lead to more cost effective and productive cloud deployments.

The finance industry already has one of the highest adoption rates for AI and ML. Now, there is addition interest due to new technologies like generative AI.

Less than half of all companies are seeing the benefits of cloud, but the top 10% cloud-powered companies are reaping the rewards for more focused efforts.

The ACM has called on developers to foster safety cultures with algorithm development, and to promote internal and external testing.

The quality of data coming through the pipeline remains one of the key impediments to AI success, but it looks like businesses are more aware of data needs.

Researchers from Heriot-Watt University and EPFL have developed a machine learning algorithm to more accurately forecast amine emissions.