How artificial intelligence is changing mental health, ethics, the environment and society — research-backed articles covering both the benefits and risks of AI.
In 2024, the Nobel Prize in Chemistry was awarded for AI-powered protein structure prediction — a breakthrough that solved a 50-year-old scientific problem.
Students using AI-supported learning platforms outperform peers by 15-35%. AI tutors are making personalized education accessible to millions worldwide.
AI is optimizing renewable energy grids, predicting extreme weather, and accelerating climate research. But can its benefits outweigh its own environmental cost?
A landmark Nature study warns that AI creates 'illusions of understanding' — making us believe we know more than we actually do, with profound consequences for science and society.
In 2021, Bender and Gebru asked: 'Can Language Models Be Too Big?' The paper cost Gebru her job at Google — and predicted nearly every problem we now face with AI.
Released in 2020, GPT-3 stunned the world with its ability to write essays, code, and poetry with minimal instructions — ushering in the era of large language models.
A 2019 study by Strubell et al. first quantified AI's carbon cost: training a large NLP model can emit 284 tonnes of CO₂ — five times a car's lifetime emissions.
In 2012, a neural network called AlexNet won the ImageNet competition by a landslide — launching the deep learning revolution that powers all modern AI.