/PRNewswire/ The global generative AI market size is anticipated to reach USD 109.37 billion by 2030, according to a new report by Grand View Research, Inc..
Stories We Missed: The Year AI Art Went Mainstream frieze.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from frieze.com Daily Mail and Mail on Sunday newspapers.
Artificial Neural Networks have reached ‘Grandmaster’ and even ‘super-human’ performance’ across a variety of games, from those involving perfect-information, such as Go ((Silver et al. (2016)); to those involving imperfect-information, such as ‘Starcraft’ (Vinyals et al. (2019)). Such technological developments from AI-labs have ushered concomitant applications across the world of business, where an ‘AI’ brand-tag is fast becoming ubiquitous. A corollary of such widespread commercial deployment is that when AI gets things wrong - an autonomous vehicle crashes; a chatbot exhibits ‘racist’ behaviour; automated credit-scoring processes ‘discriminate’ on gender etc. - there are often significant financial, legal and brand consequences, and the incident becomes major news. As Judea Pearl sees it, the underlying reason for such mistakes is that “. all the impressive achievements of deep learning amount to just curve fitting”. The key, Pearl suggests (Pearl and
Read on to discover 8 projects either created for the metaverse or designed using AI image-generating engines, along with their descriptions from the architects
Today, I want to demystify ChatGPT a fascinating new application of GANs (Generative Adversarial Networks) that has been generating a lot of buzz in the AI community.