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MIT researchers have utilized artificial intelligence to discover a new category of potential antibiotics.

MIT researchers, using deep learning techniques, have discovered compounds that can effectively combat methicillin-resistant Staphylococcus aureus (MRSA). This drug-resistant bacterium annually leads to over 10,000 deaths in the United States alone. Detailed in a study published in Nature, the compounds not only successfully killed MRSA in laboratory and mice model tests, but also showed significantly…

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Review of MIT’s Media Highlights in 2023

In 2023, the Massachusetts Institute of Technology (MIT) saw numerous breakthroughs as well as several key events. Major happenings included the inauguration of President Sally Kornbluth, a commencement address by Mark Rober, and Professor Moungi Bawendi earning the Nobel Prize in Chemistry. Research advancements ranged from the study of a dying star consuming a planet to…

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Unfamiliar and complex sentences increase the workload on the brain’s language processing system.

Using an artificial language network, MIT neuroscientists have found that sentences with unusual grammar or unexpected meanings tend to strongly activate the brain's key language processing centers. In contrast, straightforward sentences cause only minimal engagement of these regions, as do nonsensical sequences of words. The researchers discovered this by analyzing how human participants' brain network…

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MIT experts have leveraged artificial intelligence to pinpoint a potential new category of antibiotic candidates.

MIT researchers have leveraged the power of deep learning, a branch of artificial intelligence (AI), to discover a class of compounds that can potentially kill methicillin-resistant Staphylococcus aureus (MRSA). The discovery, described in a paper published in the journal Nature, saw the use of AI to predict the antibiotic potency of various molecules, an insight…

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A Year in Review: MIT’s Media Highlights of 2023

In 2023, MIT had an eventful year, including the inauguration of President Sally Kornbluth and a Commencement address by Mark Rober, as well as Professor Moungi Bawendi winning a Nobel Prize for research on quantum dots. Researchers were also involved in several scientific breakthroughs, such as a study on a dying star consuming a planet,…

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The language network in the brain is challenged more when dealing with intricate and new sentences.

Neuroscientists at MIT, assisted by an artificial language network, have discovered that complex sentences with unusual grammar or unexpected meaning, stimulate the brain's key language processing centres more effectively. Interestingly, both straightforward sentences and nonsensical sequences of words had minimal engagement in these regions. The findings were part of a study led by MIT graduate…

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MIT researchers employ Artificial Intelligence to discover a fresh category of potential antibiotics.

At MIT, a team of researchers is utilizing deep learning—a type of artificial intelligence—to discover new, potentially life-saving antibiotics. Their focus is on combating one of the world's deadliest drug-resistant bacterium: methicillin-resistant Staphylococcus aureus (MRSA), which takes over 10,000 lives in America annually. Published in Nature, MIT's study reveals that a new class of compounds, identified…

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Review of MIT’s Media Coverage in 2023

In 2023, MIT shone in the realm of science, technology, education and community service. The year saw Sally Kornbluth’s inauguration as President and Mark Rober’s inspiring commencement speech. Nobel laureate Moungi Bawendi’s cutting-edge work in quantum dots and partnerships with Steve Hartman brought the science of kindness to the limelight. A variety of advancements, in…

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The brain’s language network has to exert more effort when dealing with complex and unfamiliar sentences.

MIT neuroscientists have used an artificial language network to determine the type of sentences that stimulate the brain's key language-processing centers most. The research revealed that complex sentences, whether due to unusual grammar or unexpected meaning, generated stronger responses in these centers. Straightforward sentences barely engaged these regions and nonsensical sequences of words yielded little…

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MIT researchers utilize Artificial Intelligence to discover a new category of potential antibiotics.

Utilizing deep learning, researchers from the Massachusetts Institute of Technology (MIT) have identified a new class of compounds that effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium responsible for over 10,000 deaths each year in the United States. The compounds have been found to have low toxicity against human cells, a key characteristic for…

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Media Coverage of MIT: A Recap of 2023

Throughout 2023, MIT experienced a number of breakthroughs, key advancements, and noteworthy events, all featuring in the headlines. At the beginning of the year, President Sally Kornbluth’s inauguration and Mark Rober’s commencement address marked significant moments. Moreover, Professor Moungi Bawendi was awarded the Nobel Prize in Chemistry. Throughout the year, researchers at MIT made significant…

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The language network of the brain exerts more effort when dealing with intricate and unfamiliar sentences.

MIT neuroscientists discovered that sentences that are more complex, either because of unusual grammar or unexpected meaning, generate stronger responses in the brain's key language processing centers. This discovery was made possible with the help of an artificial language network. Conversely, straightforward sentences barely engaged these centers, and nonsensical sequences of words produced minimal responses.…

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