Remove Artificial Intelligence Remove Automation Remove White Paper
article thumbnail

OpenAI enhances AI safety with new red teaming methods

AI News

Since then, OpenAI has expanded and refined its methodologies, incorporating automated and mixed approaches for a more comprehensive risk assessment. This optimism is rooted in the idea that automated processes can help evaluate models and train them to be safer by recognising patterns and errors on a larger scale.

OpenAI 328
article thumbnail

Leveraging IBM Cloud for electronic design automation (EDA) workloads

IBM Journey to AI blog

Electronic design automation (EDA) is a market segment consisting of software, hardware and services with the goal of assisting in the definition, planning, design, implementation, verification and subsequent manufacturing of semiconductor devices (or chips). The primary providers of this service are semiconductor foundries or fabs.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Responsible AI is a competitive advantage

IBM Journey to AI blog

Prioritizing trust and safety while scaling artificial intelligence (AI) with governance is paramount to realizing the full benefits of this technology. An interactive version of the foundation model white paper is also available through IBM watsonx™ AI risk atlas.

article thumbnail

AI News Weekly - Issue #363: 20 Best AI Chatbots in 2024 - Dec 14th 2023

AI Weekly

20% off with code SUPERESSENTIALS [Register Now] superai.com In The News Inside OpenAI’s Crisis Over the Future of Artificial Intelligence Around noon on Nov. Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies.

article thumbnail

Judicial systems are turning to AI to help manage its vast quantities of data and expedite case resolution

IBM Journey to AI blog

As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents. Efforts to further expand the use of emerging technologies to address this ongoing need put responsible artificial intelligence (AI) at the center of possible solutions.

article thumbnail

5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

article thumbnail

5G use cases that are transforming the world

IBM Journey to AI blog

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

ML 301