Category: economics
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John Joannopoulos receives 2024-2025 Killian Award
John Joannopoulos, an innovator and mentor in the fields of theoretical condensed matter physics and nanophotonics, has been named the recipient of the 2024-2025 James R. Killian Jr. Faculty Achievement Award. Joannopoulos is the Francis Wright Davis Professor of Physics and director of MIT’s Institute for Soldier Nanotechnologies. He has been a member of the…
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Scientists develop an affordable sensor for lead contamination
Engineers at MIT, Nanyang Technological University, and several companies have developed a compact and inexpensive technology for detecting and measuring lead concentrations in water, potentially enabling a significant advance in tackling this persistent global health issue. The World Health Organization estimates that 240 million people worldwide are exposed to drinking water that contains unsafe amounts…
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Scientists use generative AI to answer complex questions in physics
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in Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine Learning, Mathematics, MIT Schwarzman College of Computing, Physics, Research, School of Engineering, School of ScienceWhen water freezes, it transitions from a liquid phase to a solid phase, resulting in a drastic change in properties like density and volume. Phase transitions in water are so common most of us probably don’t even think about them, but phase transitions in novel materials or complex physical systems are an important area of…
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The power of App Inventor: Democratizing possibilities for mobile applications
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in Apps, Artificial Intelligence, Education, teaching, academics, Electrical Engineering & Computer Science (eecs), Global, History of MIT, History of science, K-12 education, Media Lab, MIT Schwarzman College of Computing, Online learning, Open access, Open source, Programming, School of Architecture and Planning, School of Engineering, STEM educationIn June 2007, Apple unveiled the first iPhone. But the company made a strategic decision about iPhone software: its new App Store would be a walled garden. An iPhone user wouldn’t be able to install applications that Apple itself hadn’t vetted, at least not without breaking Apple’s terms of service. That business decision, however, left…
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Seizing solar’s bright future
Consider the dizzying ascent of solar energy in the United States: In the past decade, solar capacity increased nearly 900 percent, with electricity production eight times greater in 2023 than in 2014. The jump from 2022 to 2023 alone was 51 percent, with a record 32 gigawatts (GW) of solar installations coming online. In the…
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Paramanu-Ganita: A New Mathematical Model that Outperforms LLaMa, Falcon, and PaLM
Introduction Large language models (LLMs) have dramatically reshaped computational mathematics. These advanced AI systems, designed to process and mimic human-like text, are now pushing boundaries in mathematical fields. Their ability to understand and manipulate complex concepts has made them invaluable in research and development. Among these innovations stands Paramanu-Ganita, a creation of Gyan AI Research.…
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Creating bespoke programming languages for efficient visual AI systems
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in Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, games, Information systems and technology, Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Profile, Programming, programming languages, School of Engineering, videoA single photograph offers glimpses into the creator’s world — their interests and feelings about a subject or space. But what about creators behind the technologies that help to make those images possible? MIT Department of Electrical Engineering and Computer Science Associate Professor Jonathan Ragan-Kelley is one such person, who has designed everything from tools…
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HPI-MIT design research collaboration creates powerful teams
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in Artificial Intelligence, Business and management, Cleaner industry, Climate change, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Cybersecurity, Design, Electrical Engineering & Computer Science (eecs), Environmental Solutions Initiative, Innovation and Entrepreneurship (I&E), Machine Learning, Manufacturing, MIT Morningside Academy for Design, MIT Sloan School of Management, Renewable energy, Research, School of Architecture and Planning, School of Engineering, Startups, Supply chainsThe recent ransomware attack on ChangeHealthcare, which severed the network connecting health care providers, pharmacies, and hospitals with health insurance companies, demonstrates just how disruptive supply chain attacks can be. In this case, it hindered the ability of those providing medical services to submit insurance claims and receive payments. This sort of attack and other…
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Exploring frontiers of mechanical engineering
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in Artificial Intelligence, Design, Graduate, postdoctoral, Health sciences and technology, Human-computer interaction, Independent Activities Period, Mechanical engineering, Nanoscience and nanotechnology, Oceanography and ocean engineering, Profile, School of Engineering, Spaceflight, Sports analytics, Students, WaterFrom cutting-edge robotics, design, and bioengineering to sustainable energy solutions, ocean engineering, nanotechnology, and innovative materials science, MechE students and their advisors are doing incredibly innovative work. The graduate students highlighted here represent a snapshot of the great work in progress this spring across the Department of Mechanical Engineering, and demonstrate the ways the future…
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Physicists arrange atoms in extremely close proximity
Proximity is key for many quantum phenomena, as interactions between atoms are stronger when the particles are close. In many quantum simulators, scientists arrange atoms as close together as possible to explore exotic states of matter and build new quantum materials. They typically do this by cooling the atoms to a stand-still, then using laser…
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Fostering research, careers, and community in materials science
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in Abdul Latif Jameel World Education Lab (J-WEL), Algorithms, Alumni/ae, Classes and programs, Collaboration, Computer modeling, Computer science and technology, Data, Digital technology, DMSE, Education, teaching, academics, Learning, Mentoring, MIT.nano, nano, Office of Open Learning, Online learning, Programming, Research, School of Engineering, Special events and guest speakers, STEM education, Students, UndergraduateGabrielle Wood, a junior at Howard University majoring in chemical engineering, is on a mission to improve the sustainability and life cycles of natural resources and materials. Her work in the Materials Initiative for Comprehensive Research Opportunity (MICRO) program has given her hands-on experience with many different aspects of research, including MATLAB programming, experimental design,…
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Natural language boosts LLM performance in coding, planning, and robotics
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in Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Department of Defense (DoD), Electrical Engineering & Computer Science (eecs), Human-computer interaction, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Natural language processing, Programming, programming languages, Quest for Intelligence, Research, Robotics, School of Engineering, School of ScienceLarge language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions — essentially, high-level representations of complex concepts that skip less-important…
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An AI dataset carves new paths to tornado detection
The return of spring in the Northern Hemisphere touches off tornado season. A tornado’s twisting funnel of dust and debris seems an unmistakable sight. But that sight can be obscured to radar, the tool of meteorologists. It’s hard to know exactly when a tornado has formed, or even why. A new dataset could hold answers.…
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New Chinese Model Outperforms GPT-4 Turbo!
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SenseTime, a leading AI company based in China, has launched its latest model, SenseNova 5.0, marking a significant advancement in artificial intelligence. This new model has been shown to outperform many powerful large language models, including GPT-4 Turbo. Despite the lack of buzz surrounding its release, it looks promising in revolutionizing various industries with its…