‘Lack of Truthfulness’ Hampers Generative AI Adoption
A majority of the 300 AI experts and practitioners who participated in a recent survey are nervous about the accuracy of generative AI
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
A majority of the 300 AI experts and practitioners who participated in a recent survey are nervous about the accuracy of generative AI
Combining the ability of fMRI to monitor neural activity with the predictive power of AI language models has resulted in a thought
Service firms should approach AI today like the early days of cloud computing. They must keep in mind that not every client, partner, or internal team is ready …
Amazon will offer options to companies that want to use a foundational LLM model in AWS and then customize it for their own proprietary data, company needs, …
AI has the power to reach in and reconfigure aspects of work and business that other technologies have barely
Researchers have developed an improved version of a method to predict uncertainty for AI models making
The power of ChatGPT comes with a huge responsibility of ensuring the content generated by the AI model is free from toxicity and bias.
The AI hype cycle, led by apps like ChatGPT, has created a tsunami of announcements of new AI projects, most of which will not be
The integration of fuzzy logic and AI presents significant opportunities for organizations like smart automotive manufacturers to enhance their supply chain …
In this week's real-time analytics news: Accenture and Lenovo announced plans for major investments to bring AI to their customers.