# Judea Pearl
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Päivitetty:
judea pearl (born September 4, 1936) is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks (see the article on belief propagation). He is also credited for developing a theory of causal and counterfactual inference based on structural models (see article on causality). In 2011, the Association for Computing Machinery awarded Pearl with the Turing Award, the highest distinction in computer science, "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning".judea pearl is the father of journalist Daniel Pearl, who was kidnapped and murdered by terrorists in Pakistan connected with Al-Qaeda and the International Islamic Front in 2002 for his American and Jewish heritage.
COEXISTENCE And Other Pearls Of Wisdom 🇮🇱 JUDEA PEARL
On this episode of the Unapologetically Jewish Podcast, Shana Meyerson talks with Judea Pearl about his book, “Coexistence And Other Fighting Words,” a selection of essays he wrote from after his son Daniel Pearl’s murder by jihadi terrorists in 2002 until today. Reflecting on the failed struggle f…
Zionophobia - with Judea Pearl
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Do most people misunderstand the true nature of Antizionism?
Dan sits down with renowned computer scientist and public intellectual Judea Pearl to understand why he coined the term “Zionophobia.” Pearl argues that Antizionis…
Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
Judea Pearl is a professor at UCLA and a winner of the Turing Award, that’s generally recognized as the Nobel Prize of computing. He is one of the seminal figures in the field of artificial intelligence, computer science, and statistics. He has developed and championed probabilistic approaches to A…
Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl
Judea Pearl is a Turing Award winner and a pioneer in artificial intelligence and causal reasoning. We talked about how he got into science, his major breakthroughs and his predictions for AI today.
• My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/
•…
Why Intuition Beats Logic in Modern AI – Most of the Time
🤖 Artificial intelligence has been fighting a quiet civil war for over seventy years, and most people using AI tools every day have no idea it's even happening. In this episode of A Beginner's Guide to AI, we break down the fundamental split between symbolic AI, the rule-based, logic-driven approac…
The Mind-Brain Entanglement
Roland Poellinger (MCMP/LMU) gives a talk at the MCMP Colloquium (14 May, 2014) titled "The Mind-Brain Entanglement". Abstract: Listing "The Nonreductivist’s Troubles with Mental Causation" (1993) Jaegwon Kim suggested that the only remaining alternatives are the eliminativist’s standpoint or plain…
PiLogic: Exact AI — The Maths That Keeps Satellites Alive, Ep. 12
PiLogic is building mathematical, expert-guided inference engines that run in milliseconds to diagnose and save satellites when standard rules fail.
💼 Are you a strategic investor exploring dual-use tech, critical infrastructure, or advanced sovereign capabilities? Let’s connect. Book a 1:1 here: …
Remembering the 9/11 boatlift, history's largest maritime evacuation | Katie Pavlich Tonight Full Show
On "Katie Pavlich Tonight," we reflect on the 9/11 terror attacks 25 years later, commemorating the lives lost and honoring the heroes who rushed into harm's way to save others.Katie speaks with Capt. Rick Thornton, who helped rescue hundreds of thousands of people by boat from Manhattan, and forme…
Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
Judea Pearl is a professor at UCLA and a winner of the Turing Award, that's generally recognized as the Nobel Prize of computing. He is one of the seminal figures in the field of artificial intelligence, computer science, and statistics. He has developed and championed probabilistic approaches to A…
AI's Fluency Is Not Understanding | Elias Bareinboim S3E02 | CausalBanditsPodcast.com
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This episode was created in collaboration with the UBC Causal AI Cluster: https://aicausal.ubc.ca/
Ask an image model what happens when you flip the switch on a desk lamp, and many will show it lit, even when the cable is lying on the desk, unplugged.The lamp is only the easiest in…
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