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McKinsey tests AI chatbot in early stages of graduate recruitment

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, chatbot, Featured, Features, hr, Human-AI Relationships, Research, Trust, Bias & Fairness, workforce, Workforce & HR AI, World of Work

Hiring at large firms has long relied on interviews, tests, and human judgment. That process is starting to shift. McKinsey has begun using an AI chatbot as part of its graduate recruitment process, signalling a shift in how professional services organisations evaluate early-career candidates. The chatbot is being used during the initial stages of recruitment, […]

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At MIT, a continued commitment to understanding intelligence

ai, AI (Artificial Intelligence), Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Electrical engineering and computer science (EECS), Giving, MIT Schwarzman College of Computing, MIT Siegel Family Quest for Intelligence, Neuroscience, Research, School of Engineering, School of Science

The MIT Siegel Family Quest for Intelligence (SQI), a research unit in the MIT Schwarzman College of Computing, brings together researchers from across MIT who combine their diverse expertise to understand intelligence through tightly coupled scientific inquiry and rigorous engineering. These researchers engage in collaborative efforts spanning science, engineering, the humanities, and more. SQI seeks to

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Research shows UK young adults would use AI for financial guidance

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Research from Cleo AI indicates that young adults are turning to artificial intelligence for financial advice to help them manage their money and develop more sustainable financial habits. The study surveyed 5,000 UK adults aged 28 to 40 and found that the majority are saving significantly less than they would like. In this context, interest

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The ‘Attention Economy’ Is a Lie

ai, AI (Artificial Intelligence), Anxiety and Stress, Artificial Intelligence, Attention deficit hyperactivity disorder, Augustine of Hippo (354-430), Cambridge (England), Children and Childhood, Cold War Era, Computers and the Internet, innovation, James, William (1842-1910), Laboratories and Scientific Equipment, Mental Health and Disorders, Military Aircraft, Mobile Applications, Paris (France), Pennsylvania, Philosophy, Psychology and Psychologists, Research, University of Pennsylvania, Weil, Simone, World War II (1939-45)

It started in a laboratory. No one could have predicted where it would end.

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3 Questions: How AI could optimize the power grid

ai, AI (Artificial Intelligence), Algorithms, Alternative energy, Artificial Intelligence, Batteries, Climate change, Computer science and technology, Electrical engineering and computer science (EECS), Energy, Energy storage, Faculty, Interview, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Pollution, Research, School of Engineering, Sustainability, Sustainable computing

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training and deployment of the latest generative AI models. But it’s not all bad news — some AI tools have the potential to reduce some forms of energy consumption and enable cleaner grids.One

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Decoding the Arctic to predict winter weather

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Climate, Computer science and technology, Earth and atmospheric sciences, Machine Learning, Natural disasters, Profile, Research, School of Engineering, Staff, Technology and society, Weather

Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen, a research scientist in MIT’s Department of Civil and Environmental Engineering (CEE), has spent decades studying how conditions in the Arctic set the course for winter weather throughout Europe, Asia, and North America. His research

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MIT scientists investigate memorization risk in the age of clinical AI

ai, AI (Artificial Intelligence), Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, cybersecurity, Electrical engineering and computer science (EECS), ethics, Health care, Health sciences and technology, Human-computer interaction, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Privacy, Public health, Research, School of Engineering, Technology and society

What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics texts in the world, reads: “Whatever I see or hear in the lives of my patients, whether in connection with my professional practice or not, which ought not to be spoken of outside, I

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L’Oréal brings AI into everyday digital advertising production

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Producing digital advertising at global scale has become less about one standout campaign and more about volume, speed, and consistency. For consumer brands operating across dozens of markets, the challenge is not creativity alone, but how to keep content flowing without repeating expensive production cycles. That pressure is pushing some large companies to test where

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