MIT

Established in 1884 as a gathering space for female students on campus, the room has been relocated several times and undergone significant changes over time.

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MIT associate professor of chemistry Gabriela Schlau-Cohen uses ultrafast spectroscopy to studies the energy transfer that occurs inside plant leaves during ...

To help achieve that, she also works on improving the spectral bandwidth (which allows them to observe a wider range of energy levels) of ultrafast spectroscopy and the temporal resolution of single-molecule spectroscopy. “When I visited MIT, one of the things that really stood out was the caliber of the students and the intellectual environment they were creating where we could have these really stimulating and exciting conversations about science,” she says. Using this technique, she studied the energy transfer that occurs in photosynthetic light-harvesting complexes, down to the level of individual proteins within the complex. As a postdoc at Stanford University, she went on to analyze the behavior of those individual photosynthetic proteins more closely, using single-molecule spectroscopy. “But as I was doing that work, I started to miss the intellectual challenge of science, and that led me to think about returning to science, so then I applied for grad school.” “We are really interested in understanding the dynamics of electronically excited states, in photosynthesis and other systems,” she says.

SOFAR will attribute faults encountered in satellite systems to their possible causes. In many cases, clues embedded in telemetry data may be so sparse that no ...

APS is a powerful technology that can be leveraged for autonomous planning in any domain. As shown in Figure 1 below, SOFAR will consume data from the hosting satellite bus, its sensors/payloads, and even remote sensors or platforms. SOFAR will attribute faults encountered in satellite systems to their possible causes. [Low Earth Orbit (LEO) satellites](http://orbitlogic.com/uploads/5/7/8/8/57881343/20200206%20Blackjack%20Press%20Release%20Final.pdf) with DARPA and AFRL, heterogeneous teams of [unmanned underwater/surface/aerial vehicles (UUVs/USVs/UAVs) with the Navy](http://orbitlogic.com/uploads/5/7/8/8/57881343/20190709%20MinAu%20Navy%20Phase%20II%20Press%20Release%20Final.pdf), heterogeneous swarms of [rovers, satellites, and atmospheric vehicles for robotic Mars exploration](http://orbitlogic.com/uploads/5/7/8/8/57881343/20200416%20MISDEF%20Phase%20I%20Press%20Release.pdf), [heterogeneous robotic swarms with astronauts-in-the-loop for Lunar exploration](http://www.orbitlogic.com/uploads/docs/20210208%20IN-PASS%20Phase%20I%20Press%20Release.pdf) and [mission-adaptive formation flying control of satellite clusters](http://www.orbitlogic.com/uploads/docs/20210713%20OSCAR%20Phase%20I%20Press%20Release.pdf) with NASA. In these situations, SOFAR will develop multiple hypotheses and the relative likelihood of each. [Orbit Logic](https://orbitlogic.com/) has been awarded a Phase I Small Business Technology Transfer (STTR) contract sponsored by the [Air Force Research Laboratory](https://afresearchlab.com/) to develop the Satellite Onboard Fault Attribution and Response (SOFAR) solution.

One area of research Schlau-Cohen is concentrating on is protein behavior, particularly regarding how proteins rapidly change their conformation when they bind ...

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Chlorophyll in plants, during photosynthesis, absorbs photons (energy) from the sun. This energy is transferred to other chlorophyll molecules organized by ...

The associate professor intends to develop nanostructures with similar or even better emergent properties than photosynthetic light-harvesting systems. Schlau-Cohen wants to achieve control over the evolution of light energy in a way that mimics or even exceeds the performance of nature. [microscopy](https://www.techgenyz.com/2021/01/19/what-is-a-fluorescence-microscope-used-for/), at Brown University where she majored in chemical physics, to study rapid processes such as energy moving between the electronic state of molecules.

The business has always been vague about where its money had come from. Now MIT Technology Reveal can reveal that the entire sum was put up by Sam Altman, the ...

While many things contributed to the shift, from the educational pipeline to the tiresomely persistent fiction of tech as a gender-blind “meritocracy,” none explain it entirely. [WSJ](https://www.wsj.com/articles/google-ai-chatbot-bard-chatgpt-rival-bing-a4c2d2ad?mod=tech_lead_pos5) $)+ How tech’s AI obsession masks abuses of power. As recently as 1980, women held 70% of the programming jobs in Silicon Valley, but the ratio has since flipped entirely. ( But ByteDance, the parent company of TikTok, is no stranger to those requests. Take the shared concern about how much time children and teenagers are spending on TikTok (or its Chinese domestic version, Douyin). Several US senators have pushed for bills that would restrict underage users’ access to apps like TikTok. What really lies at the core of tech’s gender problem is money. But that’s also a distraction from the real story of how the technology is changing people’s lives through treatments used on adults with serious diseases. The business has always been vague about where its money had come from. [BBC](https://www.bbc.co.uk/news/world-europe-64877979))

MIT Center for Brains, Minds and Machines researchers provide one of the first theoretical analyses covering optimization, generalization, and approximation ...

“Our results have the potential to advance our understanding of why deep learning works as well as it does.” Thus far, the fact that CNNs and not dense networks represent the success story of deep networks has been almost completely ignored by machine learning theory. This noise is not generated by the randomness of the SGD algorithm but by an interesting dynamic trade-off between rank minimization and fitting of the data, which provides an intrinsic source of noise similar to what happens in dynamic systems in the chaotic regime. Deep networks that have the three ingredients of stochastic gradient descent (SGD), weight decay regularization (WD), and weight normalization (WN) will display neural collapse if they are trained to fit their training data. The authors found that the same theoretical observation that predicts a low-rank bias also predicts the existence of an intrinsic SGD noise in the weight matrices and in the output of the network. [previous study](https://www.pnas.org/doi/10.1073/pnas.2015509117) examined the structural properties that develop in large neural networks at the final stages of training.

Assil Halimi, graduate student in the Department of Nuclear Science and Engineering at MIT, works on high burnup fuels and improving the design of nuclear ...

The work ahead is daunting — “Nuclear power is safe, sustainable, and reliable; now we need to be on time and on budget [to achieve] climate goals” he says — but Halimi is ready. The challenge, he says, is that if you simply make the reactors smaller, you lose the advantages of economies of scale and might end up with a more expensive economic proposal. Since his school in Lyon did not offer the double curriculum, Halimi had to move to Paris to study at The French Alternative Energies and Atomic Energy Commission (CEA), part of the University of Paris-Saclay. Halimi analyzes the fuel performance, core design, thermal hydraulics, and safety of these small reactors. Improving the fuel efficiency (high burnup) is a potential way of improving the economic competitiveness of the existing reactor fleet. Wrapping up his bachelor’s in math and economics in two short years, Halimi decided to pursue a double curriculum in electrical and nuclear engineering during his final year of engineering studies. As a middle and high schooler, Halimi traveled to areas with low light pollution to observe the night skies. Today, the second-year doctoral student at MIT's Department of Nuclear Science and Engineering (NSE) has expanded on his early curiosity in the field and researches methods of improving the design of small modular reactors. As a teenager, Halimi set his goals high, enrolling in high school in both Algeria and France. The divergence in the nonscientific classes gave Halimi a better understanding of the cultural perspectives. “Just a fuel pellet the size of my fingertip can generate as much energy as a ton of coal or 150 gallons of oil,” Halimi points out. “The more I read about nuclear, the more I saw its direct relationship with climate change and how nuclear energy can potentially replace the carbonized economy,” Halimi says.

How can pink chickens change the world? The MIT Museum answers that odd inquiry.

Two Tokyo Tech students in the fourth cohort of the Tokyo Tech-MIT Student Exchange Program, a program based on an agreement between Tokyo Tech's.

Eva Lisowski, who came to Tokyo Tech in 2019 as part of the first cohort of the Tokyo Tech-MIT Student Exchange Program, has been enrolled in Tokyo Tech’s Graduate Major in Nuclear Engineering since April 2022 as an embassy-recommended government-sponsored international student. The whole city of Boston has a supportive atmosphere for students, so I think you will have a more fulfilling experience if you get out and follow your natural curiosity. Two students from Tokyo Tech — 4th-year Mechanical Engineering student Shoko Memida and 4th-year Chemical Science and Engineering student Ivana Tanzil — joined the program in academic year 2022.