In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have ...
When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...
Artificial-intelligence programs, like the humans who develop and train them, are far from perfect. Whether it’s machine-learning software that analyzes medical images or a generative chatbot, such as ...
This is your brain on computer programming. The post How learning computer programming ‘rewires’ parts of the brain appeared ...
Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...
The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...
IIIT-B researchers develop algorithms to optimize India's renewable energy transition, balancing cost, reliability, and grid stability.