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Materials that conduct protons could potentially lead to the development of novel eco-friendly energy solutions.

Artificial Intelligence, DMSE, Energy, Machine learning, Materials science and engineering, Research, School of Engineering, Sustainability, UncategorizedJuly 24, 202438Views0Likes0Comments
MIT engineers have identified new materials that could be more efficient conductors of protons – the nucleus of a hydrogen atom – which could pave the way for a number of climate-protecting technologies. Today's proton-conducting materials require very high temperatures, but lower-temperature alternatives could boost new technologies such as fuel cells that produce clean electricity…

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MIT ARCLab declares the laureates of the first-ever Award for AI advancements in Space.

Aeronautical and astronautical engineering, Artificial Intelligence, Cleaner industry, Contests and academic competitions, Data, Lincoln Laboratory, Satellites, School of Engineering, Space exploration, Spaceflight, Sustainability, UncategorizedJuly 12, 202440Views0Likes0Comments
The number of satellites orbiting the Earth has grown exponentially in recent years, both due to lower costs and a rise in demand for services that satellites can provide, such as broadband internet and climate surveillance. However, this increase in activity also raises concerns around safety, security, and the environment, necessitating enhanced methods for monitoring…

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Startup advances the journey towards computing at the speed of light.

Alumni/ae, Artificial Intelligence, Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Electronics, Innovation and Entrepreneurship (I&E), Machine learning, MIT $100K competition, Photonics, School of Engineering, Startups, Sustainability, Sustainable computing, UncategorizedJune 13, 202435Views0Likes0Comments
In today's digital era, the demand for ever-increasing computing power has been overwhelmingly huge, driven primarily by advancements in artificial intelligence. However, the constant innovation in computing technology is facing obstacles, primarily due to the limitations in the shrinking size of transistors used in chips. This imposes a strict limit on Moore's Law and Dennard's…

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A novel approach to computer vision accelerates the screening process of electronic components.

3-D printing, Algorithms, Artificial Intelligence, Automation, Computer vision, Imaging, Machine learning, Materials science and engineering, Mechanical engineering, Renewable energy, Research, School of Engineering, Solar, Sustainability, UncategorizedJune 12, 202432Views0Likes0Comments
Solar cells, transistors, LEDs, and batteries with boosted performance require better electronic materials which are often discovered from novel compositions. Scientists have turned to AI tools to identify potential materials from millions of chemical formulations, with engineers developing machines that can print hundreds of samples at a time, based on compositions identified by AI algorithms.…

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CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202442Views0Likes0Comments

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Obtaining hydrogen from stones.

Alternative energy, Artificial Intelligence, Climate change, Department of Energy (DoE), DMSE, Energy, Faculty, Funding, Geology, Grants, Mechanical engineering, Renewable energy, Robotics, School of Engineering, Sustainability, UncategorizedApril 9, 202440Views0Likes0Comments
Hydrogen, one of the most abundant elements in the Universe, mainly exists alongside other elements. However, the discovery of naturally occurring underground pockets of pure hydrogen is increasingly attracting attention as an unlimited source of carbon-free energy. In fact, the US Department of Energy recently awarded $20 million in research grants to 18 teams to…

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Utilizing Amazon SageMaker’s geospatial capabilities for the comprehension and forecast of urban heat islands at Gramener.

Advanced (300), Amazon SageMaker, Artificial Intelligence, Customer Solutions, Geospatial ML with Amazon SageMaker, Sustainability, UncategorizedApril 6, 202437Views0Likes0Comments
Gramener, a Straive Company, has developed GeoBox, a solution that employs spatial data and advanced modeling techniques to understand and mitigate the impacts of urban heat islands (UHIs). UHIs, areas within cities that register significantly higher temperatures than rural areas, can lead to a variety of environmental and health issues including increased energy consumption, poor…

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