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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, 202437Views0Likes0Comments
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, 202436Views0Likes0Comments
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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Five professors from MIT tackle Major Cancer Challenges

Artificial Intelligence, Awards, Biological engineering, Biology, Cancer, Chemical engineering, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, honors and fellowships, Immunology, Jameel Clinic, Koch Institute, Machine learning, Research, School of Engineering, School of Science, UncategorizedMarch 19, 202438Views0Likes0Comments
Five MIT researchers—Michael Birnbaum, Regina Barzilay, Brandon DeKosky, Seychelle Vos, and Ömer Yilmaz—are part of winning teams for Cancer Grand Challenges 2024. Each team, made up of international, interdisciplinary cancer researchers, will receive $25 million over five years. Associate Professor of Biological Engineering Michael Birnbaum is heading Team MATCHMAKERS, comprised of co-investigators Regina Barzilay (Engineering Distinguished…

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New algorithm delivers detailed understanding for computer vision.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Imaging, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMarch 19, 202437Views0Likes0Comments
MIT researchers have developed an algorithm called FeatUp that enables computer vision algorithms to capture both high-level details and fine-grained minutiae of a scene simultaneously. Modern computer vision algorithms, like human beings, can only recall the broad details of a scene while the more nuanced specifics are often lost. To understand an image, they break…

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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, 202441Views0Likes0Comments
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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Three Inquiries: Understanding the essentials of audio deepfakes.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedMarch 16, 202442Views0Likes0Comments
Audio deepfakes, although often associated with unethical practices, have potential uses that can benefit society, suggests postdoc Nauman Dawalatabad in a Q&A with MIT News. He highlights the need for technology that protects sensitive information held within speech patterns, such as age, gender, and health conditions, stating that obscuring the speaker's identity in audio deepfakes…

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Scientists improve the side vision abilities in AI systems.

Artificial Intelligence, Autonomous vehicles, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, UncategorizedMarch 9, 202443Views0Likes0Comments
Researchers at MIT have developed an image dataset that simulates peripheral vision for use in training machine learning (ML) models, an area where artificial intelligence (AI) notably diverges from human ability. Humans leverage less-detailed peripheral vision to detect shapes and items outside their direct line of sight, an ability AI lacks. Incorporating aspects of peripheral…

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Method allows AI in peripheral devices to continuously update its knowledge over time.

Algorithms, Artificial Intelligence, Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Internet of things, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Mobile devices, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedMarch 7, 202439Views0Likes0Comments
Machine learning models are widely used today in smart devices like smartphones, with diverse applications like autocorrecting keyboards or improved chatbot responses. However, fine-tuning these models requires considerable computational resources and transfers of data to and from cloud servers – which can pose both energy and security issues. The team of researchers from MIT and…

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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, 202441Views0Likes0Comments
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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