This past week on Voicebot Podcast Ep 317 we discussed the latest headlines from the world of Generative AI. We hit topics such as new features from ChatGPT, HuggingFace, Google, Nvidia, Sensory, Hour One, D-ID, deepfake musicians, and more. Our hosts were Bret Kinsella and Eric Schwartz of Voicebot.ai.
Unity Research Director of AI Research Nico Perony joined Voicebot Podcast Ep 314 this week to talk about generative AI and complex systems. Nico has been publishing research into AI, neuroscience, and robotics for over 10 years. He detailed the importance of complex systems in regards to generative AI, why data architecture and data systems are crucial to scaling AI, and more.
ChatGPT released more features this week that are set to improve their language model. HuggingFace made an announcement introducing a GraphQL API that can facilitate data access across developers and companies. Google researchers advanced their robotic system for path planning and navigation simulations, allowing for the development of more complex autonomous robots. Meanwhile, Nvidia presented the case for AI development acceleration through the power of ray tracing.
Sensory released the news of their new high definition facial recognition capability designed for high accuracy and low latency. Hour One gave a status update of their AI-driven people identification system. D-ID shared the news of their newly developed deepfake resistant algorithms. Lastly, researchers in Israel unveiled a system that allows video Lip Sync deepfakes of musicians to create their own music-based videos.
From exciting new developments at ChatGPT and HuggingFace to groundbreaking news from Google and Nvidia, Generative AI technology is advancing by leaps and bounds. With the potential of AI to revolutionize multiple industries, the latest technological advancements are an exciting step forward toward our AI-driven future.
