Eye On A.I.

Arjun Subramonian, a PhD student, discusses the intersection of AI, diversity, and ethics. Topics include biases in tech development, inequalities in access to technology, disparities in face recognition technology, and the impact of social awareness on AI development.

Peter Voss, Founder, CEO, and Chief Scientist of Aigo.ai, discusses artificial general intelligence (AGI). He explains his vision of AGI, focusing on cognitive architectures and graph knowledge bases. The podcast dives into real-time learning, life logging, personalized AI assistants, and the challenges of funding AGI projects. Voss also explores the competitive landscape in chatbots and large language models, sharing insights into Aigo.ai's customer base and pricing strategy.

Isabelle Guyon, a pioneer in machine learning and pattern recognition, discusses support vector machines (SVMs) for image and text classification. She also explores the use of maximum margin classifiers in the biomedical field and the prospects of chatbots and language models. The podcast covers the origins of SVMs, biomarkers for disease classification, and the differences between deep learning and SVMs. Additionally, the speakers discuss the use of SVMs for clustering unlabeled data and Jeff Hinton's forward forward algorithm.

Dmitry Shapiro, AI specialist and barrier breaker, discusses the groundbreaking concept of YouAi, a company revolutionizing AI interaction. He reveals how AI can personalize education and introduces Mind Studio, a no code AI tool. Other topics include AI tools for parenting, choosing the best language model, and the challenges of discovering AI models.

Dan O'Connell, Chief AI and Strategy Officer at Dialpad, discusses how AI is transforming business communications. Topics include real-time transcription, sentiment analysis, virtual agents, AI's impact on CRM, chatbot evolution, and cost-effective AI management.

Raul Martynek, CEO of Data Bank, discusses the history and significance of data centers and their role in today's data-driven world. They explore how AI is driving the demand for data center capacity, the challenges faced by the industry, and China's plans to bolster its semiconductor industry. They also delve into the critical issue of power consumption driven by AI and its effects on global power grids.

Diaa El All, founder and CEO of Soundful, discusses how AI is revolutionizing music production and licensing. Soundful's AI tool generates royalty free background music, enabling creators to monetize their content without copyright concerns. They delve into the transformative power of AI in reshaping the music industry, exploring AI-generated music and the legal implications. They also discuss the concept of one shots in music production and Soundful's plans for a mobile app and partnerships with other AI platforms.

Alex Zhavoronkov, CEO of Insilico Medicine, discusses the use of AI in drug discovery and longevity. Topics include Insilico Medicine's tools for hypothesizing protein targets, their automated robotic lab in China, the challenges in the pharmaceutical industry, and the broader implications of tackling aging.

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite’s popular KPI Checklist, designed to give you consistently excellent performance - absolutely free, at NetSuite.com/EYEONAI. On episode #133 of the Eye on AI podcast, Craig Smith sits down with Michael Jordan. A revered scientist and distinguished professor at the University of California, Berkeley, Michael’s expertise spans machine learning, statistics, and artificial intelligence. In this episode we explore the intricate landscape of deep learning, its statistical bedrock, and the myriad applications of machine learning methods. We dig deeper into the cloud computing revolution, ignited by deep learning, which has empowered behemoths like Amazon to streamline their logistics and commerce data. The dialogue continues as we uncover the trends in deep learning, its role in the grand scheme of AI, and the persisting challenges in the domain. We conclude by contemplating the repercussions of AI and optimization in complex systems. We examine its historical roots in the mid-20th century, its potential to replace jobs, and its application in various sectors such as financial markets, healthcare, and education. (00:00) Preview (01:00) Introduction (01:36) NetSuite by Oracle (03:53) Deep Learning Advancements in AI (12:56) AI Optimization in Complex Systems (28:53) Future of Machine Learning in Healthcare (39:45) Privacy and Value in Multi-Agent Learning (54:48) Learning Systems, Avatars, and Music Business (1:02:20) Single Source of Truth for Business Owners (1:04:28) NetSuite by Oracle Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

On episode #132 of the Eye on AI podcast, Craig Smith sits down with Scott Downes, Chief Technology Officer at Invisible Technologies. We crack open the fascinating world of large language models (LLMs). What are the unique ways LLMs can revolutionize text cleanup, product classification, and more? Scott unpacks the power of technology like Reinforcement Learning for Human Feedback (RLHF) that expands the horizons of data collection. This podcast is a thorough analysis of the world of language and meaning. How does language encode meaning? Can RLHF be the panacea for complex conundrums? Scott breaks down his vision about using RLHF to redefine problem-solving. We dive into the vexing concept of teaching a language model through reinforcement learning without a world model. We discuss the future of the human workforce in AI, hear Scott’s insights on the potential shift from labellers to RLHF workers. What implications does this shift hold? Can AI elevate people to work on more complicated tasks? From exploring the economic pressure companies face to the potential for increased productivity from AI, we break down the future of work. (00:00) Preview and introduction  (01:33) Generative AI’s Dirty Little Secret (17:33) Large Language Models in Problem Solving (23:24) Large Language Models and RLHF Challenges (30:07) Teaching Language Models Through RLHF(35:35) Language Models’ Power and Potential(53:00) Future of Human Workforce in AI(1:03:10) AI Changing Your World Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI