NVIDIA AI Podcast

Aengus Tran, Co-founder of Annalise.ai, discusses using AI as a spell check for health checks. The episode focuses on the development and deployment of AI systems for radiologists and pathologists. The challenges of training AI for medical diagnosis, the potential for faster and more accurate diagnoses, and the ethical implications of AI in healthcare are also explored.

Julia Stoyanovich, NYU professor and director of Center for Responsible AI, discusses responsible AI, NYC's bias-free hiring software law, transparency in AI models, and the need for skepticism and critical thinking in an AI-driven world.

NVIDIA's Jim Fan discusses using large language models to create AI agents, focusing on the development of Voyager, an AI bot built with Chat GPT-4 that can autonomously play Minecraft. The podcast explores the concept of AI agents and their relationship to large language models, training models on video data, the capabilities of language models in Minecraft, and the industry impact and applications of large language models.

Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, discusses the potential of generative AI in scientific research, including predicting dangerous coronavirus variants and extreme weather events. She explains the challenges of working with genomes and the importance of fine-tuning models. They also explore the concept of model cards for transparency and automated testing for bias in AI models. Anandkumar provides advice for aspiring individuals in technology and science fields, emphasizing continuous learning and asking the right questions.

In this episode, host Noah Kravitz speaks with Ofir Krakowski, AI dubbing and translation technology expert. They discuss how Deepdub uses AI-driven dubbing to improve efficiency, cut costs, and increase accessibility in the entertainment industry. Deepdub offers a web-based platform that handles translation, voice generation, and audio mixing. They highlight the challenges of language subtleties and the importance of human verification. The speakers also discuss the use of facial expressions and body language to improve translation accuracy, the impact of generative AI models for audio dubbing, and the potential for generating video content to match new audio.

Replit CEO Amjad Masad discusses the company's aim to reduce friction between ideas and software using AI. Their Ghostwriter coding AI provides intelligent code suggestions, explanations, and error flags. They are also developing 'make me an app' functionality to make software creation accessible to all. Masad envisions a future where AI collaborates with programmers.

The world increasingly runs on code. Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun Mohan and Jeff Wang, the company’s head of business, about the company's business, about how AI is transforming software. Codeium's AI-powered code acceleration toolkit boasts three core features: autocomplete, chat and search. Autocomplete intelligently suggests code segments, saving developers time by minimizing the need for writing boilerplate or unit tests. At the same time the chat function empowers developers to rework or even create code with natural language queries, enhancing their coding efficiency while providing searchable context on the entire code base. Noah spoke with Mohan and Wang about the future of software development with AI, and the continued, essential role of humans in the process.

Startup MosaicML is on a mission to help the AI community enhance prediction accuracy, decrease costs, and save time by providing tools for easy training and deployment of large AI models. In this episode of NVIDIA's AI Podcast, host Noah Kravitz speaks with MosaicML CEO and co-founder Naveen Rao, about how the company aims to democratize access to large language models. MosaicML, a member of NVIDIA's Inception program, has identified two key barriers to widespread adoption: the difficulty of coordinating a large number of GPUs to train a model and the costs associated with this process. Making training of models accessible is key for many companies who need to control over model behavior, respect data privacy, and iterate fast to develop new products based on AI.

Scientists at Matice Biosciences are using AI to study the regeneration of tissues in animals known as super-regenerators, such as salamanders and planarians. The goal of the research is to develop new treatments that will help humans heal from injuries without scarring. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with Jessica Whited, a regenerative biologist at Harvard University and co-founder of Matice Biosciences. https://blogs.nvidia.com/blog/2023/06/21/matice/

In the latest episode of NVIDIA's AI Podcast, Anant Agarwal, founder of edX and Chief Platform Officer at 2U, shared his vision for the future of online education and the impact of artificial intelligence in revolutionizing the learning experience. Agarwal, a strong advocate for Massive Open Online Courses MOOCs, discussed the importance of accessibility and quality in education. The MIT professor and renowned edtech pioneer also highlighted the implementation of AI-powered features in the edX platform, including the ChatGPT plugin and edX Xpert, an AI-powered learning assistant.