In this episode, we break down the significant AI investment updates, including Accenture's $3 billion pledge, Intel's $1 billion strategic move, and Salesforce's impressive surge with an additional $500 million in their AI fund.

In this episode, we explore Meta's latest breakthrough, Voicebox Clone, which empowers users to effortlessly clone any voice in any language with a mere 2-second audio recording.

In this episode, we dissect AMD's disruptive strategy, unveiling a state-of-the-art AI GPU to compete head-on with Nvidia's established 80% market dominance.

In this episode, we examine the revolutionary impact of artificial intelligence on healthcare, particularly the role of AI models in uncovering drugs that combat aging.

In this episode, we navigate through the deceptive landscape of AI voice scams, exposing the intricacies of their methods and introducing Eleven Labs' innovative AI Generated Audio Detector—a formidable defense against the sonic deception.

In this episode, we explore the mechanics behind AI image generation, specifically through diffusion, shed light on Google AI's innovative role in skin diagnosis, and virtually step into the future of fashion with AI-driven clothing trials.

In this episode, we journey into the funding frontiers as Synthesia secures an impressive $90 million for its AI deep fake endeavors. Join me in exploring the ripple effect, with predictions suggesting AI could unleash a $4.4 trillion wave across the global GDP.

In this episode, we provide an insider's perspective on the latest developments in OpenAI and ChatGPT, unraveling the narrative of how Microsoft has raked in a staggering $10 billion from the world of AI.

In this episode, we unravel Meta's latest venture – an open-source music generator that's disrupting the conventional norms. Join me as we discuss how this melodic revolution is making Google reconsider its position in the tech hierarchy.

In this episode, we dig deep into the concerns expressed by AI researchers regarding 'Model Collapse,' examining the potential dangers and complications arising when AI models train on content produced by fellow artificial intelligences.