14: Artificial Thought (Neural Networks)

In this captivating episode of Breaking Math, hosts Gabriel and Autumn dive deep into chaos theory—a fascinating branch of mathematics that explores the behavior of complex systems highly sensitive to initial conditions. They break down the butterfly effect, revealing how tiny va ...  Show more

In this episode of Breaking Math, we dive deep into the transformative power of large language models (LLMs) like GPT-4 in the fields of chemistry and materials science, based on the article "14 examples of how LLMs can transform materials science and chemistry: a reflection on a ...  Show more

A man goes into a bar… This is the beginning of a riddle that our guest, Yoed Kennet, an assistant professor at the Technion's Faculty of Data and Decision Sciences, uses to measure creativity in subjects. In our talk, Yoed speaks about how to combine cognitive science and networ ...  Show more

What can the human brain teach us about AI? And what can AI teach us about our own intelligence? These questions underpin a lot of AI research. In this first episode, Hannah meets the DeepMind Neuroscience team to explore these connections and discovers how our brains are like bi ...  Show more

In this episode, my guest is Dr. Terry Sejnowski, Ph.D., professor of computational neurobiology at the Salk Institute for Biological Studies. He is world-renowned for exploring how our brain processes and stores information and, with that understanding, for developing tools that ...  Show more

For decades science fiction has been imagining the incredible ways that machines might interact directly with our minds, from enabling telepathic communication to controlling robotic suits, solely using the power of thought. Getting computers to interface directly with the human ...  Show more