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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.

 
Machine-learning system flags remedies that might do...
Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple organ failure, and death. Prompt interventions by medical professionals save lives, but some sepsis treatments can also contribute to a patient’s deterioration, so choosing the optimal therapy can be a difficult task. For instance, in the early hours of severe sepsis, administering too much fluid intravenously can increase...

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A tool to speed development of new...
In the ongoing race to develop ever-better materials and configurations for solar cells, there are many variables that can be adjusted to try to improve performance, including material type, thickness, and geometric arrangement. Developing new solar cells has generally been a tedious process of making small changes to one of these parameters at a time. While computational simulators have made it possible to evaluate such changes without having to actually build each new variation for testing, the process remains...

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EECS graduate women’s research summit increases research...
The MIT Department of Electrical Engineering and Computer Science (EECS) group Graduate Women in Course 6 (GW6) held its third annual research summit on Nov. 5, with attendees convening in person along with a simultaneous webcast. The summit featured research lightning talks from graduate women and other underrepresented genders across EECS, as well as a keynote from Institute Professor Barbara Liskov and a panel of five prominent women in industry and academia. (Registration was open to all students and...

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Tiny machine learning design alleviates a bottleneck...
Machine learning provides powerful tools to researchers to identify and predict patterns and behaviors, as well as learn, optimize, and perform tasks. This ranges from applications like vision systems on autonomous vehicles or social robots to smart thermostats to wearable and mobile devices like smartwatches and apps that can monitor health changes. While these algorithms and their architectures are becoming more powerful and efficient, they typically require tremendous amounts of memory, computation, and data to train and make inferences....

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With “Hello!” as its theme, 2.009 returns...
On Monday night, Kresge Auditorium was lit up in the colors of the rainbow as a vibrant welcome for the final presentations of 2.009, MIT’s popular Product Engineering Processes course. After going virtual in 2020, the annual event was back in exuberant, pom-pom-waving form, with Covid-19 precautions in place to help ensure a safe and spectacular in-person show. To attend the night’s festivities, everyone 12 years and older was required to be vaccinated, and all guests were required to...

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Meet the Oystamaran
When Michelle Kornberg was about to graduate from MIT, she wanted to use her knowledge of mechanical and ocean engineering to make the world a better place. Luckily, she found the perfect senior capstone class project: supporting sustainable seafood by helping aquaculture farmers grow oysters. “It’s our responsibility to use our skills and opportunities to work on problems that really matter,” says Kornberg, who now works for an aquaculture company called Innovasea. “Food sustainability is incredibly important from an...

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Machines that see the world more like...
Computer vision systems sometimes make inferences about a scene that fly in the face of common sense. For example, if a robot were processing a scene of a dinner table, it might completely ignore a bowl that is visible to any human observer, estimate that a plate is floating above the table, or misperceive a fork to be penetrating a bowl rather than leaning against it. Move that computer vision system to a self-driving car and the stakes become...

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Study reveals a protein’s key contribution to...
The versatility of the nervous system comes from not only the diversity of ways in which neurons communicate in circuits, but also their “plasticity,” or ability to change those connections when new information has to be remembered, when their circuit partners change, or other conditions emerge. A new study by neuroscientists at The Picower Institute for Learning and Memory of MIT shows how just one protein situated on the front lines of neural connections, or synapses, can profoundly change...

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Q&A: More-sustainable concrete with machine learning
As a building material, concrete withstands the test of time. Its use dates back to early civilizations, and today it is the most popular composite choice in the world. However, it’s not without its faults. Production of its key ingredient, cement, contributes 8-9 percent of the global anthropogenic CO2 emissions and 2-3 percent of energy consumption, which is only projected to increase in the coming years. With aging United States infrastructure, the federal government recently passed a milestone bill...

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“Vigilant inclusion” central to combating climate change
“To turbocharge work on saving the planet, we need effective, innovative, localized solutions, and diverse perspectives and experience at the table,” said U.S. Secretary of Energy Jennifer M. Granholm, the keynote speaker at the 10th annual U.S. Clean Energy Education and Empowerment (C3E) Women in Clean Energy Symposium and Awards. This event, convened virtually over Nov. 3-4 and engaging more than 1,000 participants, was devoted to the themes of justice and equity in clean energy. In panels and presentations,...

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A system for designing and training intelligent...
Let’s say you wanted to build the world’s best stair-climbing robot. You’d need to optimize for both the brain and the body, perhaps by giving the bot some high-tech legs and feet, coupled with a powerful algorithm to enable the climb.  Although design of the physical body and its brain, the “control,” are key ingredients to letting the robot move, existing benchmark environments favor only the latter. Co-optimizing for both elements is hard — it takes a lot of...

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Technique enables real-time rendering of scenes in...
Humans are pretty good at looking at a single two-dimensional image and understanding the full three-dimensional scene that it captures. Artificial intelligence agents are not. Yet a machine that needs to interact with objects in the world — like a robot designed to harvest crops or assist with surgery — must be able to infer properties about a 3D scene from observations of the 2D images it’s trained on.      While scientists have had success using neural networks to...

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Anantha Chandrakasan awarded 2022 IEEE Mildred Dresselhaus...
Anantha Chandrakasan, dean of the MIT School of Engineering and Vannevar Bush Professor of EECS, has been named the recipient of the 2022 IEEE Mildred Dresselhaus Medal. In the award citation, the IEEE noted Chandrakasan’s “contributions to ultralow-power circuits and systems, and leadership in academia and advancing diversity in the profession.” Anantha Chandrakasan received BS, MS, and PhD degrees in electrical engineering and computer sciences from the University of California at Berkeley, in 1989, 1990, and 1994, respectively. He...

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Feast or forage? Study finds circuit that...
MIT neuroscientists have discovered the elegant architecture of a fundamental decision-making brain circuit that allows a C. elegans worm to either forage for food or stop to feast when it finds a source. Capable of integrating multiple streams of sensory information, the circuit employs just a few key neurons to sustain long-lasting behaviors and yet flexibly switch between them as environmental conditions warrant. “For a foraging worm, the decision to roam or to dwell is one that will strongly impact its...

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Jelena Vučković delivers 2021 Dresselhaus Lecture on...
As her topic for the 2021 Mildred S. Dresselhaus Lecture, Stanford University professor Jelena Vučković posed a question: Are computers better than humans in designing photonics? Throughout her talk, presented on Nov. 15 in a hybrid format to more than 500 attendees, the Jensen Huang Professor in Global Leadership at Stanford’s School of Engineering offered multiple examples arguing that, yes, computer software can help identify better solutions than traditional methods, leading to smaller, more efficient devices, as well as...

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