Computational text analysis reveals how TV representations of professions have changed over 70 years
Across 70 years of data on media subtitles for television and film, architecture and engineering are the most positively portrayed professions, whereas sales-related professions fare worst, find the authors of a new study published in the open access journal PLOS ONE.
Teaching physics to AI allows it to discover new insights into material properties
Researchers at Duke University have demonstrated that incorporating known physics into machine learning algorithms can help the inscrutable black boxes attain new levels of transparency and insight into material properties.
Energy-efficient AI hardware technology via a brain-inspired stashing system
Researchers have proposed a novel AI system inspired by the neuromodulation of the brain, referred to as a "stashing system," that requires less energy consumption. The research group led by Professor Kyung Min Kim from the Department of Materials Science and Engineering has developed a technology that can efficiently handle mathematical operations for artificial intelligence by imitating the continuous changes in the topology of the neural network according to the situation.
Wayve and Microsoft partner to scale autonomous vehicles
Wayve announced a partnership with Microsoft to leverage the supercomputing infrastructure needed to support the development of AI-based models for autonomous vehicles on a global scale.
Your Google searches and tweets might help forecast the next disease outbreak
It seems like yet another punchline for anyone joking about the past two years of pandemic life. But to scientists forecasting future disease outbreaks, it's important data.
A new way to train deepfake detection algorithms improves their success
Deepfakes are images and videos which combine mixed source material to produce a synthetic result. Their use ranges from trivial to malicious, so methods to detect them are sought after, with the latest techniques often based on networks trained using pairs of original and synthesized images.
Researchers design 'socially aware' robots that can anticipate and safely avoid people on the move
A team of researchers led by University of Toronto Professor Tim Barfoot is using a new strategy that allows robots to avoid colliding with people by predicting the future locations of dynamic obstacles in their path.
The Women in AI Breakfast is a go, and nominations for the Women in AI Awards now open
VentureBeat is committed to shining a light on the glaring gender equity gap in the data and AI workforce.
How to use responsible AI to manage risk
A key motivation for responsible AI endeavors is resolving uncertainty about who is accountable if something goes wrong.
Apple’s former ML director reportedly joins Google DeepMind
A machine learning exec who left Apple due to its return-to-office policy has reportedly joined Google DeepMind.
Robot Dog Olympics takes place at MoD in Bristol
Coders gather in Bristol to program robots to sprint and do gymnastics at the Ministry of Defence event.
Accelerating the pace of machine learning
Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no impact. But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations that emerge over time.
Using AI To Cure Blinding Eye Diseases
NIH discovery sheds light on tissue targeted by age-related macular degeneration and other diseases Researchers have identified distinct differences among the cells comprising a tissue in the retina that is vital to human visual perception. The scien
Algorithms trained on historical data make more accurate forecasts of population changes than demographic modeling
Machine learning algorithms can be used to make accurate forecasts about changes in population, according to research published in the International Journal of Data Science. The work demonstrates that the best of the available algorithms trained on historical data works better than conventional demographic modeling based on periodic census data.
Machine learning improves control performance for future high-tech systems
Learning control algorithms, especially in combination with machine learning, enable the development of intelligent controllers that learn automatically from the abundance of available data, enabling an excellent trade-off between accuracy, speed, and cost.
Artificial intelligence job hiring outperforms human hiring, but humans don't want to use it
Artificial intelligence (AI) job hiring is equal to or better than human hiring, but people react negatively towards it, according to a new study published in Artificial Intelligence Review by The Inclusion Initiative at the London School of Economics and Political Science (LSE).
Forma AI poised to grow AI-supported sales compensation management platform
Forma's automated workflows unite the process, enabling sales compensation resources to focus on incentive design — not formula building.
How AI-driven robots and drones bring cognitive intelligence to Industry 4.0
The robots, drones and cameras that inspect machines to perform predictive maintenance and relay analog information to operations staff can now function autonomously. Even better – the longer they’re at their jobs, the better they do.