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Novel Architecture Makes Neural Networks More Understandable
By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.
Computer Scientists Prove That Heat Destroys Quantum Entanglement
While devising a new quantum algorithm, four researchers accidentally established a hard limit on entanglement.
Are Robots About to Level Up?
Today’s AI largely lives in computers, but acting and reacting in the real world — that’s the realm of robots. In this week’s episode, co-host Steven Strogatz talks with pioneering roboticist Daniela Rus about creativity, collaboration, and the unusual forms robots of the future might take.
How Base 3 Computing Beats Binary
Long explored but infrequently embraced, base 3 computing may yet find a home in cybersecurity.
What Is Analog Computing?
You don’t need 0s and 1s to perform computations, and in some cases it’s better to avoid them.
How Does Math Keep Secrets?
Cryptography is the thread that connects Julius Caesar, World War II and quantum computing, and it now lies under nearly every part of modern life. In this week’s episode, computer scientist Boaz Barak and co-host Janna Levin discuss the past and future of secrecy.
With ‘Digital Twins,’ The Doctor Will See You Now
By creating digital twins of patients, Amanda Randles wants to bring unprecedented precision to medical forecasts.
Will AI Ever Have Common Sense?
Common sense has been viewed as one of the hardest challenges in AI. That said, ChatGPT4 has acquired what some believe is an impressive sense of humanity. How is this possible? Listen to this week’s “The Joy of Why” with co-host Steven Strogatz.
What Is Machine Learning?
Neural networks and other forms of machine learning ultimately learn by trial and error, one improvement at a time.