# Ramesh Raskar
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ramesh raskar is a Massachusetts Institute of Technology Associate Professor and head of the MIT Media Lab's Camera Culture research group. Previously he worked as a Senior Research Scientist at Mitsubishi Electric Research Laboratories (MERL) during 2002 to 2008. He holds over ninety patents in computer vision, computational health, sensors and imaging.
Inside World’s Most Innovative Lab - MIT Media Lab | Kushal Lodha #284
In this episode of Konversation with Kushal, Professor Ramesh Raskar provides an exclusive look inside the MIT Media Lab, an institution he describes as a startup within MIT dedicated to exploring crazy ideas at the forefront of technology. The lab has been responsible for world-changing innovation…
MIT Professor: The Most Dangerous AI Application on the Internet Just Went Viral…
What happens when AI agents stop waiting for instructions and start acting on their own?
Julian sits down with Ramesh Raskar and Maria Gorskikh for an urgent conversation about the rise of proactive AI and the emerging “agentic web”. This isn’t about chatbots answering questions anymore, it’s abou…
The Next Enterprise - Thriving in the Age of AGI | unDavos 2026
MIT's Ramesh Raskar and Prof. Dr. Kathrin Kind map the enterprise of 2030-2035: organizations that shrink in headcount but expand in capability, where every employee creates their own AI models and the 'internet of AI agents' replaces today's siloed copilots. From automotive simulation at 21 millio…
TOP AI EXPERTS: AI is Coming, And We Are NOT Ready (Emergency Episode)
AI is evolving faster than society can keep up.
What started as chatbots is turning into autonomous AI agents capable of running tasks, businesses, and entire systems.
Some experts believe this could replace huge portions of today’s jobs while others warn we barely understand the risks.
Today,…
Why Most AI Projects Fail and The 5 Questions That Makes Sure Your AI Project is Successful and Has a ROI
Today, we're covering the single biggest reason AI projects fail, back it up with research, and arm you with 5 questions, developed by AI strategist and Former head of Google Strategy, Chris Hood, that every team should aim to answer before their next AI deployment.
Get these questions right, and …
Imaging at a trillion frames per second - Ramesh Raskar
Ramesh Raskar presents femto-photography, a new type of imaging so fast it visualizes the world one trillion frames per second, so detailed it shows light itself in motion. This technology may someday be used to build cameras that can look "around" corners or see inside the body without X-rays. Tal…
BT Clip: MIT Professor: "We Have 18 Months Before AI Lockdown" (Ramesh Raskar)
Ramesh Raskar explains how artificial intelligence is evolving and why the coming phase may be critical for its long-term impact on society. He discusses the role of economic systems in guiding responsible innovation and the importance of moving from simply using AI tools to actively participating …
The open agentic web: Building the internet of AI agents
Today’s AI agents operate across disparate systems, but what happens when billions of agents can freely discover, trust, communicate and transact with one another, without needing to know in advance that the others exist?In this episode, MIT professor and NANDA founder Ramesh Raskar explores the ri…
MIT Professor & AI Doomer Admits He Was WRONG (Ramesh Raskar)
What happens when millions of people hand their lives to AI agents, and nobody has built the rules of the road?
This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years throu…
Safe AI Models Will Not Make AI Safer
One agent per person is manageable. A million per person may not be. As AI agents multiply, the question for leaders shifts from actions and decisions agents can take to who remains in control of them.
Ramesh Raskar, Associate Professor at MIT Media Lab and leader of Project NANDA, argues that the …
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3,835,354ပေါ့တ်ကာစ်များနှင့်197,420,167အပိုင်းများကို လူများ၊ နေရာများ သို့မဟုတ် အကြောင်းအရာများအလိုက် ရှာဖွေရန် ကျွန်ုပ်တို့၏ဝဘ်ဆိုက်ကို အသုံးပြုနိုင်ပါသည်။
I have no special talent. I am only passionately curious, and
I listen to podcasts.
‐ Albert "Llamacorn" Einstein
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ပေါ့ဒ်ကတ်စ် ဒေတာဘေ့စ်ကို နောက်ဆုံးပေါ်အချိန်နှင့်တပြေးညီဖြစ်စေရန် ကူညီပေးသည့်အတွက် ကျေးဇူးတင်ပါသည်။
