MLG 004 Algorithms - Intuition

How to maintain character consistency, style consistency, etc in an AI video. Prosumers can use Google Veo 3’s "High-Quality Chaining" for fast social media content. Indie filmmakers can achieve narrative consistency by combining Midjourney V7 for style, Kling for lip-synced dial ... Show More

Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube training data. OpenAI Sora is the top tool for narrative storytelling, while Kuaishou Kling excels at animating static images with realistic, hig ... Show More

The AI image market has split: Midjourney creates the highest quality artistic images but fails at text and precision. For business use, OpenAI's GPT-4o offers the best conversational control, while Adobe Firefly provides the strongest commercial safety from its exclusively licen ... Show More

It seems like every day there's more and more machine learning problems that involve learning on text data, but text itself makes for fairly lousy inputs to machine learning algorithms.  That's why there are text vectorization algorithms, which re-format text data so it's ready f ... Show More

In this episode I make a non exhaustive list of machine learning tools and frameworks, written in Rust. Not all of them are mature enough for production environments. I believe that community effort can change this very quickly. To make a comparison with the Python ecosystem I wi ... Show More

Bryan Catanzaro, vice president for applied deep learning research at NVIDIA, talks about how we know an AI technology is working, the potential for AI-powered speech, and where we’ll see the next deep learning breakthroughs. 

Machine learning algorithms need examples of data from which they can learn, especially supervised machine learning algorithms. However, one big challenge for those looking to put machine learning into practice is the lack of a sufficient quantity of good quality data examples fr ... Show More

Enjoy this special encore episode. A programming technique where the developer doesn't specify each step of the algorithm in code, but instead teaches the algorithm to learn from the experience. 

Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson ab ... Show More

Sal Khan, the founder and CEO of Khan Academy, thinks artificial intelligence could spark the greatest positive transformation education has ever seen. This week we're revisiting a talk where he shares the opportunities he sees for students and educators to collaborate with AI to ... Show More

Send us a textEpisode 300: Navigating AI and Human Cognition In this special 300th episode of My EdTech Life, I sit down with Benjamin Riley, founder of Cognitive Resonance, to explore the intersection of AI and human cognition in education. We discuss everything from the hype su ... Show More

Paola Jaramillo is working at MathWorks as the Technical Manager for the Application Engineering team supporting you and your team of domain experts in the vision creation and implementation of innovative technologies with leading tools and services for professional software deve ... Show More

Thanks to machine learning and artificial intelligence, programs that used to take a week can now quickly search 50,000 IP addresses for vulnerabilities in organisations like yours to get into. Reformed Hacker and Brand Ambassador for CTRL Group Bastien Treptel speaks with Associ ... Show More