Artificial Intelligence in this Age of RobotsThe advancement of artificial intelligence (AI) is the defining feature of this age. With smart machines everything changes. Age of Robots is tracking changes on the artificial intelligence front and reporting on how this technology is changing every area of our lives. From driving our cars to composing the next masterpiece symphony, machine learning is taking on many aspects of human endeavor.
With an artificial intelligence (AI) method developed by researchers at Aalto University and University of Helsinki, researchers can now link immune cells to their targets and for example uncouple which white blood cells recognize SARS-CoV-2. The developed tool has...
Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments. Artificial intelligence has arrived in our everyday lives—from search engines to...
Can robots write? Machine learning produces dazzling results, but some assembly is still required by Alexandra Louise Uitdenbogerd, RMIT University You might have seen a recent article from The Guardian written by “a robot”. Here’s a sample: I know that my...
Today I talk to Rafa Felix about his work at the Australian Institute for Machine Learning on generalised zero-shot learning. You can find out more about Rafa at https://researchers.adelaide.edu.au/profile/rafael.felixalves We are generously supported by our patrons...
e live in a time when the fantastic has become ordinary. When I was growing up in the 1970’s we believed “Rosie the Robot” and flying cars from the Jetson’s would be here by the turn of the century. And...
In a gendered society, individuals’ traits and merits are often arbitrated against the specific standards that are associated to gendered expectations, which is what we often label as ‘gender bias’. What is more concerning, however, is that given the representation...
Researchers from North Carolina State University have discovered that teaching physics to neural networks enables those networks to better adapt to chaos within their environment. The work has implications for improved artificial intelligence (AI) applications ranging...
No one can say whether androids will dream of electric sheep, but they will almost certainly need periods of rest that offer benefits similar to those that sleep provides to living brains, according to new research from Los Alamos National Laboratory. “We study...
Dr David Howard on evolutionary machine learning in robotics My name is David Howard, I'm a Senior research scientist and robotics and autonomous systems group at DATA61 in Brisbane. DATA61 is part of CSIRO and we focus on basically merging the digital and physical...
MIT engineers have designed a “brain-on-a-chip,” smaller than a piece of confetti, that is made from tens of thousands of artificial brain synapses known as memristors — silicon-based components that mimic the information-transmitting synapses in the human brain. The...
Algorithmic decision-making has enormous potential to do good. From identifying priority areas for first response after an earthquake hits, to identifying those at risk of COVID-19 within minutes, their application has proven hugely beneficial. But things can go...
Search Technique Avoids Wasting Time, Expense on Rediscovering Known Compounds
FROM THE ARCHIVES What is Neuromorphic Computing?
FROM THE ARCHIVES AI Is Rewriting The History Of Malware by Bryan Lares
FROM THE ARCHIVES Emotional AI by Mark Sackler
FROM THE ARCHIVE The Promise and Perils of AI by Tess Posner
The bridge between experimental neuroscience and advanced artificial intelligence learning algorithms have been successfully rebuilt by researchers. They were able to demonstrate a new accelerated brain-inspired learning mechanism, conducting new types of experiments on neuronal cultures. For instance, the artificial task of handwritten digit recognition’s success rates substantially outperformed commonly-used machine learning algorithms when the mechanism was utilized.
A promising future of superfluous drone pilots is now possible. The terrain scanning and measuring of drones were subjected to artificial intelligence’s control based on a research from Aarhus University.
