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Does ‘fear’ serve as a fundamental factor in developing more flexible, robust, and organic AI systems?

Bio-inspired AI, Biology, Industry, Machine learning, UncategorizedJuly 22, 202470Views0Likes0Comments
Artificial general intelligence (AGI), also known as superintelligence, is the ultimate goal of AI research. It aims to create autonomous systems capable of performing a wide range of tasks as humans do. However, the concept of AGI is still elusive, with critics arguing that current AI systems can never achieve general intelligence. They cite limitations…

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Could “anxiety” be crucial in developing more flexible, robust, and organic AI systems?

Bio-inspired AI, Biology, Industry, Machine learning, UncategorizedJuly 21, 202467Views0Likes0Comments
The pursuit of artificial general intelligence (AGI), where an AI can perform tasks similar to a human, is at the forefront of research. This involves complex systems mimicking behaviors observed in natural organisms. Despite this, the belief that AI cannot obtain natural intelligence is prevalent. Some limitations of AI include its inability to navigate unpredictable…

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An AI model utilizes 500 million years of evolution simulation to develop a new fluorescent protein.

Biology, Ethics & Society, Machine learning, Medicine, UncategorizedJuly 20, 202472Views0Likes0Comments
Researchers have developed an AI system called ESM3 that is capable of simulating hundreds of millions of years of protein evolution to create a new fluorescent protein unlike any found in nature. The system, designed by a team led by Alexander Rives at EvolutionaryScale, can process and generate data about protein sequences, structures, and functions.…

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AI advancement quickly recognizes antibiotic-resistant typhoid without needing exposure to the drugs.

Biology, Ethics & Society, Machine learning, UncategorizedJuly 10, 202466Views0Likes0Comments
Researchers at the University of Cambridge are utilizing artificial intelligence (AI) tools in the objective to combat antibiotic resistance. Led by Professor Stephen Baker, the team developed a machine learning tool that can distinguish resistant bacteria from susceptible ones. The tool uses microscopy images to identify bacteria that are resistant to common antibiotics such as…

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The new AI system effectively detects Alzheimer’s disease through speech pattern examination.

Biology, Ethics & Society, Healthcare, Medicine, UncategorizedJuly 5, 202481Views0Likes0Comments
Boston University researchers have developed an AI system that can predict with nearly 80% accuracy whether someone with mild cognitive impairment will develop Alzheimer's disease within six years, based on the analysis of speech patterns. The study, published in the journal Alzheimer’s & Dementia, leverages AI to extract diagnostic information from cognitive assessments, thus expediting…

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AI deciphers the evolution of birdwing butterflies, providing insights into evolutionary disputes.

Biology, Ethics & Society, Machine learning, UncategorizedJuly 4, 202475Views0Likes0Comments
A study conducted by the University of Essex and published in Communications Biology utilized artificial intelligence to shed light on the longstanding debate around the theory of evolution. While Charles Darwin believed sexual selection was responsible for the diverse appearances of males in a species, Alfred Russel Wallace contended that natural selection influenced both sexes…

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Researchers from the University of Toronto have developed a peptide prediction model that outperforms AlphaFold 2.

Biology, Ethics & Society, Healthcare, Medicine, UncategorizedJune 29, 202462Views0Likes0Comments
Researchers at the University of Toronto’s Donelly Centre have developed a state-of-the-art Artificial Intelligence (AI) model, PepFlow, which accurately predicts the form of peptides. Peptides are smaller molecules made up of amino acids, the essential constituents of proteins. The size and flexibility of peptides allow them to fold into different shapes; the precise shape further…

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Researchers from the University of Toronto have constructed a model for predicting peptides that outperforms AlphaFold 2.

Biology, Ethics & Society, Healthcare, Medicine, UncategorizedJune 29, 202463Views0Likes0Comments
Researchers at the University of Toronto’s Donelly Centre have developed an advanced artificial intelligence (AI) model, known as PepFlow, that can foresee the variety of shapes that peptides can form accurately. The different shapes a peptide can take are vital as they determine how it interacts with different molecules in the body, influencing its biological…

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Scientists employ artificial intelligence to investigate the way elephants use names to communicate, akin to human behavior.

Biology, Ethics & Society, Machine learning, UncategorizedJune 14, 202458Views0Likes0Comments
A joint study by experts from Colorado State University (CSU), Save the Elephants, and ElephantVoices has discovered that African elephants have a complex system of vocal communication that is unique among animals. Using AI and machine-learning techniques, the researchers analyzed around 470 different elephant calls recorded over four years in Kenya and deduced that elephants…

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The conference emphasizes the magnitude of the mental health issue and innovative approaches to identifying and treating it.

Alzheimer's, Artificial Intelligence, Behavior, Biology, Brain and cognitive sciences, Depression, Digital technology, Disease, Health, Health care, Health sciences and technology, Machine learning, McGovern Institute, Mental health, Mobile devices, Neuroscience, Office of Open Learning, Parkinson's, Pharmaceuticals, School of Science, Special events and guest speakers, UncategorizedJune 13, 202476Views0Likes0Comments

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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, 202468Views0Likes0Comments
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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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, 202478Views0Likes0Comments

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