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Muslim travel in the modern era: how brands cater to serve cultures more inclusively

Artificial Intelligence, Blog, Communications, Featured, Media intelligence, Research

The global landscape of Muslim travel has fundamentally changed in the post-pandemic era. We are no longer talking about a niche market but about a dynamic, rapidly expanding demographic reshaping global tourism. We recently worked on a co-branded report with Have Halal, Will Travel (HHWT), which included an analysis of 1.4 million data points on

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How to rebuild brand trust through authentic communication

Artificial Intelligence, Communications, Featured, Media intelligence, Research

During reputational crises, many brands find themselves pressed into strategies that are entirely reactive. However, a better understanding of a brand’s audience and stakeholders – how they communicate and what they value – would empower brands and the teams running their messaging to respond more authentically, helping comms land in the right way at the

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How can PR leaders navigate a world where AI is challenging authenticity?

Artificial Intelligence, Communications, Research

Unreliable AI content is on the rise and fact-checkers have continually declined, that has made any content’s online authenticity questionable. Misinformation is rising and undeniably on an upward trend. How can PR leaders navigate a world where AI is challenging authenticity? With virtual influencers creeping up, fake statements of leaders being circulated and the most

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How AI is Reshaping Creative Fields: Music, Writing & Art in the Age of Algorithms.

Artificial Intelligence, Machine Learning, Research, Technology

The Rise of AI in Creative Domains Artificial Intelligence (AI) has moved far beyond number-crunching and automation. Today, it’s playing a transformative role in traditionally human-centric fields like music, writing, and visual art. Algorithms are composing melodies, generating stories, and producing visuals that rival those created by human hands. As this shift unfolds, it prompts

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How Agentic AI Empowers Architecture Governance

AI & ML, Artificial Intelligence, Research

One of the principles in our upcoming book Architecture as Code is the ability for architects to design automated governance checks for important architectural concerns, creating fast feedback loops when things go awry. This idea isn’t new—Neal and his coauthors Rebecca Parsons and Patrick Kua espoused this idea back in 2017 in the first edition

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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Drug development, Electrical engineering and computer science (EECS), Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Pharmaceuticals, Proteins, Research, School of Engineering, Special events and guest speakers

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days

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Researchers discover a shortcoming that makes LLMs less reliable

Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Human-computer interaction, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, Technology and society

Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study.Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks.The researchers found that models can mistakenly link certain

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How artificial intelligence can help achieve a clean energy future

Artificial Intelligence, Chemical engineering, Cleaner industry, Climate, Electric grid, Electric vehicles, Energy, Energy efficiency, Energy storage, infrastructure, Investments, Machine Learning, Mechanical engineering, MIT Energy Initiative, Renewable energy, Research, School of Engineering, Sustainability, Sustainable computing, Weather modeling

There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers being built to support AI could potentially stress electricity grids, increase customer prices and service interruptions, and generally slow the transition to clean energy, the use of artificial intelligence can also help the energy transition.For

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