Algorithms
Algorithms Might Be Everywhere, But Like Us, They’re Deeply Flawed
What’s the problem? As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined …
Moving First On AI Has Competitive Advantages and Risks
Financial institutions that implement AI early have the most to gain from its use, but also face the largest risks. The often-opaque nature of AI decisions and related concerns of algorithmic bias, fiduciary duty, uncertainty, and more have left implementation of the most cutting-edge AI uses at a standstill. However, a newly released report from …
Artificial Intelligence Can Now Detect Insincerity Through Smiling
A smile is a typical expression we see in our daily lives. Simple as the expression may be, we know that smiling isn’t always straightforward. We may smile because we are embarrassed or shy. We may smile because we are being polite. Sometimes we smile even when we are angry or insincere. Not all smiles …
Machine Learning Algorithms Hunt For Dark Matter In Space Maps
Understanding how our universe came to be what it is today and what its final destiny will be is one of the biggest challenges in science. The awe-inspiring display of countless stars on a clear night gives us some idea of the magnitude of the problem, and yet that is only part of the story. …
Artificial Intelligence Can Help Us Fight Climate Change. But It Has An Energy Problem, Too
AI is changing the way we work, live and solve challenges. It can improve healthcare, protect elephants from poachers, and work out how broadband should be distributed. But it could be most valuable as a range of applications helping humanity fight our biggest threat – climate change. AI can strengthen climate predictions, enable smarter decision-making …
An Intelligence In Our Image: The Risks Of Bias And Errors In Artificial Intelligence
Right now, artificial intelligence (AI) and countless algorithms are integrated into our daily life. Because of the efficiency they bring into the table, the use of AI is only expected to widen. With humanity becoming more and more reliant on this technology, it is only natural to think about the implications. In contrast to the common …
In Tech We Trust?
Fairness, trust and transparency are qualities we usually associate with organisations or individuals. Today, these attributes might also apply to algorithms. As machine learning systems become more complex and pervasive, Cambridge researchers believe it’s time for new thinking about new technology. Dr Jat Singh is familiar with breaking new ground and working across disciplines. Even …
Artificial Intelligence In Medicine Raises Legal And Ethical Concerns
The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers’ ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will …
Examining A Video’s Changes Over Time Helps Flag Deepfakes
It used to be that only Hollywood production companies with deep pockets and teams of skilled artists and technicians could make deepfake videos, realistic fabrications appearing to show people doing and saying things they never actually did or said. Not anymore – software freely available online lets anyone with a computer and some time on …
Artificial Intelligence Could Help Data Centers Run Far More Efficiently
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy. A novel system developed by MIT researchers automatically “learns” how to schedule data-processing operations across thousands of servers — a task traditionally reserved for imprecise, human-designed algorithms. Doing so could help today’s power-hungry data centers run far more …