Fortifying our planetary defenses: Incredible MIT Progress Fortifying our planetary defenses involves shifting focus from rare extinction-level events to smaller, frequent decameter-scale asteroids...

#Planets #AsteroidAwareness #Astronomy #JWST #MITNews […]

[Original post on nasaspacenews.com]

Air connectivity boosts urban attractiveness for global firms - Nature Cities Global air connectivity shapes where multinational firms locate subsidiaries, especially in knowledge-intensive sectors, by reducing coordination frictions. Eigenvector centrality emerges as the stron...

✈️ New #MITCRE research paper, 𝗔𝗶𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗕𝗼𝗼𝘀𝘁𝘀 𝗨𝗿𝗯𝗮𝗻 𝗔𝘁𝘁𝗿𝗮𝗰𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 𝗳𝗼𝗿 𝗚𝗹𝗼𝗯𝗮𝗹 𝗙𝗶𝗿𝗺𝘀, is now published in @nature.com 𝙉𝙖𝙩𝙪𝙧𝙚 𝘾𝙞𝙩𝙞𝙚𝙨 📄 Read the paper: www.nature.com/articles/s44... 📰 Read on #MITNews: news.mit.edu/2026/fewer-l...
#NatureCities #UrbanEconomics #MITResearch #Aviation

Nuno Loureiro, professor and director of MIT’s Plasma Science and Fusion Center, dies at 47 Nuno Loureiro, an MIT professor of nuclear science and engineering and of physics, has died at 47. A theoretical physicist and fusion scientist, and director of the MIT Plasma Science and Fusion Cente...

#NunoLoureiro, #professor and #director of #MIT’s #Plasma #Science and #Fusion Center, #dies at 47. #MITNews 10–13 minutes. #Science #USA #Guns news.mit.edu/2025/nuno-lo...

Using generative AI to help robots jump higher and land safely | MIT News | Massachusetts Institute of Technology MIT CSAIL researchers use a generative AI model to improve particular parts of 3D robot designs, helping them jump higher and land safely. The system refines its ideas in simulation before drafting a machine potentially useful in homes or factories.

Research labs are teaching robots to jump, land and adapt using generative AI: the design + physics combo means bots can outperform human-designed counterparts in certain movement tasks. 🔁🤖 #MITNews

Using generative AI to help robots jump higher and land safely | MIT News | Massachusetts Institute of Technology MIT CSAIL researchers use a generative AI model to improve particular parts of 3D robot designs, helping them jump higher and land safely. The system refines its ideas in simulation before drafting a machine potentially useful in homes or factories.

Research labs are teaching robots to jump, land and adapt using generative AI: the design + physics combo means bots can outperform human-designed counterparts in certain movement tasks. 🔁🤖 #MITNews

Robot, know thyself: New vision-based system teaches machines to understand their bodies | MIT News | Massachusetts Institute of Technology A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by MIT CSAIL researchers, combines 3D scene reconstruction with embodied representation and closed-loop control.

Robotics just got a serious upgrade — researchers at MIT CSAIL built a vision-based system that lets robots learn how *their bodies* move using just a camera. No extra sensors needed. 🔍🤖 #MITNews

Robot, know thyself: New vision-based system teaches machines to understand their bodies | MIT News | Massachusetts Institute of Technology A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by MIT CSAIL researchers, combines 3D scene reconstruction with embodied representation and closed-loop control.

Robotics just got a serious upgrade — researchers at MIT CSAIL built a vision-based system that lets robots learn how *their bodies* move using just a camera. No extra sensors needed. 🔍🤖 #MITNews

New system enables robots to solve manipulation problems in seconds | MIT News | Massachusetts Institute of Technology A new system enables a robot to “think ahead” and consider thousands of potential motion plans simultaneously, allowing the robot to solve a multistep problem in a few seconds.

The era of ‘thinking ahead’ bots is here. At MIT & NVIDIA Research, they demonstrated robots evaluating thousands of potential actions in parallel to complete complex manipulation tasks in seconds. ⚙️🚀 #MITNews

New system enables robots to solve manipulation problems in seconds | MIT News | Massachusetts Institute of Technology A new system enables a robot to “think ahead” and consider thousands of potential motion plans simultaneously, allowing the robot to solve a multistep problem in a few seconds.

The era of ‘thinking ahead’ bots is here. At MIT & NVIDIA Research, they demonstrated robots evaluating thousands of potential actions in parallel to complete complex manipulation tasks in seconds. ⚙️🚀 #MITNews