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Suborbital space tourism finally arrives | FCC prepares to run public C-band auction | The big four in the U.S. launch industry — United Launch Alliance, SpaceX, Blue Origin and Northrop Grumman — hope to be one of two providers that will receive five-year contracts later this year to launch national security payloads starting in 2022. | China’s launch rate stays high | The International Space Station is the largest ever crewed object in space.

 
Q&A: Three Tata Fellows on the program’s...
The Tata Fellowship at MIT gives graduate students the opportunity to pursue interdisciplinary research and work with real-world applications in developing countries. Part of the MIT Tata Center for Technology and Design, this fellowship contributes to the center’s goal of designing appropriate, practical solutions for resource-constrained communities. Three Tata Fellows — Serena Patel, Rameen Hayat Malik, and Ethan Harrison — discuss the impact of this program on their research, perspectives, and time at MIT. Serena Patel Serena Patel graduated...

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Faces of MIT: Abisola Okuk
Senior staff accountant Abisola Okuk’s role has changed a lot since she first came to MIT back in 2014. She started in the Media Lab as an administrative assistant, then moved to the MIT Sloan School of Management’s external relations team, and is now senior staff accountant in the Office of the Vice President for Finance (VPF). Over that time, she’s discovered an interest in finance and developed new skills to advance her career. “After six years at the...

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Tiny magnetic beads produce an optical signal...
Getting results from a blood test can take anywhere from one day to a week, depending on what a test is targeting. The same goes for tests of water pollution and food contamination. And in most cases, the wait time has to do with time-consuming steps in sample processing and analysis. Now, MIT engineers have identified a new optical signature in a widely used class of magnetic beads, which could be used to quickly detect contaminants in a variety...

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Laser-based system achieves noncontact medical ultrasound imaging
Researchers from MIT Lincoln Laboratory and their collaborators at the Massachusetts General Hospital (MGH) Center for Ultrasound Research and Translation (CURT) have developed a new medical imaging device: the Noncontact Laser Ultrasound (NCLUS). This laser-based ultrasound system provides images of interior body features such as organs, fat, muscle, tendons, and blood vessels. The system also measures bone strength and may have the potential to track disease stages over time. “Our patented skin-safe laser system concept seeks to transform medical ultrasound...

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How to help high schoolers prepare for...
Should artificial intelligence be allowed to make care decisions for patients? Though the future of AI may conjure up doomsday visions of robots and computers intent on rendering human existence superfluous, the MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) addressed questions surrounding the use of AI in health through their inaugural summer program focused on educating high school students.  The Jameel Clinic Summer Program, which took place July 10-21, accepted a total of 51...

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Supporting sustainability, digital health, and the future...
The MIT and Accenture Convergence Initiative for Industry and Technology has selected three new research projects that will receive support from the initiative. The research projects aim to accelerate progress in meeting complex societal needs through new business convergence insights in technology and innovation. Established in MIT’s School of Engineering and now in its third year, the MIT and Accenture Convergence Initiative is furthering its mission to bring together technological experts from across business and academia to share insights...

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AI helps robots manipulate objects with their...
Imagine you want to carry a large, heavy box up a flight of stairs. You might spread your fingers out and lift that box with both hands, then hold it on top of your forearms and balance it against your chest, using your whole body to manipulate the box.  Humans are generally good at whole-body manipulation, but robots struggle with such tasks. To the robot, each spot where the box could touch any point on the carrier’s fingers, arms,...

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Dyanna Jaye: Bringing the urgency of organizing...
Growing up in the Tidewater region of Virginia, Dyanna Jaye had a front row seat to the climate crisis. She recalls beach stabilization efforts that pumped sand from the bottom of the ocean to the shore in response to rising sea levels. And every hurricane season, the streets would flood. “I was thinking at a younger age about some pretty big questions,” says Jaye. “Can I call this place home for the rest of my life? Probably not. The...

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Bringing sustainable and affordable electricity to all
When MIT electrical engineer Reja Amatya PhD ’12 arrived in Rwanda in 2015, she was whisked off to a village. She saw that diesel generators provided power to the local health center, bank, and shops, but like most of rural Rwanda, Karambi’s 200 homes did not have electricity. Amatya knew the hilly terrain would make it challenging to connect the village to high-voltage lines from the capital, Kigali, 50 kilometers away. While many consider electricity a basic human right,...

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Speaking hypothetically
What’s the winning number for next week’s Mega Millions? If Julie knew the number, Leah would know the number. But you know that neither person holds this precious secret — and not just because Mega Millions hasn’t been drawn yet. You know because you understand the implication of the sentence, even though it is free of any “not,” “no,” or other form of negation. How you understand sentences like this — how you make what linguists call a “counterfactual inference”...

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Cracking the code that relates brain and...
To understand the full relationship between brain activity and behavior, scientists have needed a way to map this relationship for all of the neurons across a whole brain — a so far insurmountable challenge. But after inventing new technologies and methods for the purpose, a team of scientists in The Picower Institute for Learning and Memory at MIT has produced a rigorous accounting of the neurons in the tractably tiny brain of a humble C. elegans worm, mapping out how its...

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Planning algorithm enables high-performance flight
A tailsitter is a fixed-wing aircraft that takes off and lands vertically (it sits on its tail on the landing pad), and then tilts horizontally for forward flight. Faster and more efficient than quadcopter drones, these versatile aircraft can fly over a large area like an airplane but also hover like a helicopter, making them well-suited for tasks like search-and-rescue or parcel delivery.   MIT researchers have developed new algorithms for trajectory planning and control of a tailsitter that take...

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Making aviation fuel from biomass
In 2021, nearly a quarter of the world’s carbon dioxide emissions came from the transportation sector, with aviation being a significant contributor. While the growing use of electric vehicles is helping to clean up ground transportation, today’s batteries can’t compete with fossil fuel-derived liquid hydrocarbons in terms of energy delivered per pound of weight — a major concern when it comes to flying. Meanwhile, based on projected growth in travel demand, consumption of jet fuel is projected to double...

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Chris Schuh named dean of Northwestern University...
A first-year graduate student in MIT’s Department of Materials Science and Engineering (DMSE) in 2007, Tim Rupert was prepared to present research at a Materials Research Society conference in Boston, his first presentation since joining the lab of Professor Chris Schuh. “The slides were all ready, the story was all ready — I practiced it, and I was ready to go,” says Rupert, now a professor of materials science and engineering at the University of California at Irvine. “And...

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Machine-learning system based on light could yield...
ChatGPT has made headlines around the world with its ability to write essays, email, and computer code based on a few prompts from a user. Now an MIT-led team reports a system that could lead to machine-learning programs several orders of magnitude more powerful than the one behind ChatGPT. The system they developed could also use several orders of magnitude less energy than the state-of-the-art supercomputers behind the machine-learning models of today. In the July 17 issue of Nature...

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