Machine learning is changing the world in ways that we are just beginning to appreciate. But could it change the way we do science and the reasons why we do science?
Testing new industrial chemicals is essential for public health and the environment. But animal testing is costly, and too many chemicals are left untested. A new AI tool may solve the problem.
With artificial intelligence, machines can now examine thousands of medical images for signs of disease. Will this technology replace doctors – or work side by side with them?
It could seem attractive to try to teach computers to detect harassment, threats and abusive language. But it’s much more difficult than it might appear.
Google’s latest AI promises to help arrange your life by making appointment for you over the phone, but it’s limited by its rote learning of the simple tasks of everyday life.
Using AI to search for ET might help us find things we couldn’t even imagine we should look for, but to succeed we also have think critically about how we create and use that technology.
By 2022, people in developed countries may see more fake news than accurate information. Artificial intelligence may be to blame – but could also help people sort out the truth from lies.
Europe loses as many trees to storms each year as Poland produces in timber. Until now, the models for predicting which trees are at risk have not been good enough.
An email from Aleksandr Kogan sheds light on exactly how much your Facebook data reveals about you, and what data scientists can actually do with that information.
The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.