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What does the future entail for generative artificial intelligence?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 21, 202435Views0Likes0Comments
In a keynote address at MIT's Generative AI Week on November 28, iRobot co-founder Rodney Brooks highlighted the potential dangers of overestimating the capabilities of generative AI, an emerging technology that supports powerful tools like OpenAI’s ChatGPT and Google’s Bard. He urged that while the technology has significant capabilities, the illusion that it can solve…

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What does the prospect look like for generative AI in the future?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 20, 202434Views0Likes0Comments
At the Generative AI: Shaping the Future symposium, Rodney Brooks, keynote speaker and co-founder of iRobot, cautioned against overestimating the capabilities of Generative AI. The technology supports powerful tools like OpenAI’s ChatGPT and Google’s Bard, but Brooks argued that no single technology ever exceeds all others. He stressed the importance of responsible development and use…

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What does the future look like for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 20, 202436Views0Likes0Comments
In a recent symposium titled "Generative AI: Shaping the Future", iRobot co-founder Rodney Brooks urged caution regarding the unbridled optimism around generative artificial intelligence (AI). Generative AI uses machine-learning models to generate new material similar to the data it has been trained on, and has proven capable of creative writing, translation, generating code, and creating…

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What does the future entail for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 19, 202435Views0Likes0Comments
During the kickoff event of MIT’s Generative AI Week, the “Generative AI: Shaping the Future” symposium, Rodney Brooks, co-founder of iRobot, cautioned attendees about the dangers of overestimating the capabilities of generative AI technology. Brooks, also a professor emeritus at MIT and former director of the Computer Science and Artificial Intelligence Laboratory (CSAIL), warned that…

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The search algorithm uncovers almost 200 novel types of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 18, 202448Views0Likes0Comments

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The search algorithm has uncovered almost 200 new types of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 18, 202440Views0Likes0Comments
Scientists from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and Harvard, and the National Center for Biotechnology Information at the National Institutes of Health, have developed a new search algorithm to find enzymes of interest in vast microbial sequence databases. This algorithm, called Fast Locality-Sensitive Hashing-based clustering (FLSHclust), discovered…

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Nearly 200 new types of CRISPR systems have been identified via a search algorithm.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 17, 202440Views0Likes0Comments
Researchers at MIT, Harvard, and the National Institutes of Health have utilized a new search algorithm to identify 188 different types of rare CRISPR systems in bacterial genomes. This data holds potential to advance genome-editing technology, enabling more precise treatments and diagnostics. The algorithm, developed in the lab of prominent CRISPR researcher, Professor Feng Zhang uses…

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The search algorithm uncovers almost 200 novel types of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 17, 202433Views0Likes0Comments
Scientists from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and Harvard, and the National Center for Biotechnology Information at the National Institutes of Health have developed a new algorithm that can sift through massive amounts of genomic data to identify unique CRISPR systems. Known as Fast Locality-Sensitive Hashing-based clustering…

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The search algorithm has unveiled close to 200 new variants of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 7, 202440Views0Likes0Comments
Microbial sequence databases hold a vast array of information about enzymes and other molecules that could be utilized in biotechnology applications. However, the sheer size of these databases has made it challenging to efficiently search for specific enzymes of interest. Researchers from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and…

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What does the future have in store for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 7, 202439Views0Likes0Comments
The "Generative AI: Shaping the Future" symposium, the kickoff event of MIT’s Generative AI Week, drew hundreds of attendees both from academia and industry. Rodney Brooks, iRobot co-founder and keynote speaker, warned attendees against uncritically overestimating the capabilities of generative AI, a technology increasingly powering tools such as OpenAI’s ChatGPT and Google’s Bard. Generative AI…

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Deep neural networks exhibit potential in modelling human auditory systems.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedMarch 7, 202440Views0Likes0Comments
MIT researchers have been utilizing computational models derived from deep neural networks which mimic the structure and function of the human auditory system, a development that could help in the design of better hearing aids, cochlear implants, and brain-machine interfaces. This represents a significant step in understanding how the human brain processes sound and how…

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Intricate and unknown phrases influence the brain’s linguistic network to exert more effort.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedMarch 7, 202435Views0Likes0Comments
A study by MIT neuroscientists, utilising an artificial language network, discovered the type of sentences most likely to stimulate the brain’s key language processing centers. The study concluded that complex sentences, with unusual grammar or unexpected meaning, generate stronger responses. In contrast, simplistic sentences marginally engaged these regions, while nonsensical sequences of words had little…

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