Big Data is already valuable but, according to a report on IBMÔÇÖs Big Data & Analytics Hub, it could become even more so if deep learning algorithms live up to their promises. Here, RT Insights founder and Executive Editor Les Yeamans explains how this technology can give computers the ability to recognize and respond to sensory patterns in a way that comes naturally to all sentient beings.
The approach has the potential to enhance problem-solving capabilities and produce more precise outcomes, making AI models more effective in various applications.
The recent RoboCat update doubled its success rate on novel jobs making it compelling technology for organizations that want to optimize operations and expand automation.
A machine learning model could more accurately predict the ocean currents, which could help in plastic pollution and oil spill clean-ups.
The real-time data "provides a level of understanding commentators and fans could previously only speculate about, like the probability of making an attempted shot, the pass strength of a given team, and even which players are pressured the most often.
Researchers have said that the publication of this database, which is free to use, will help in combating malaria, antibiotic resistance, and plastic waste, as well as potentially speeding up the discovery of new drugs.
If your organization spends more time scratching its collective head about data quality or operational issues than it does asking unique and interesting questions, then you’re not just wasting time, you’re actively eroding your company’s future.
Thanks to greater access to technology like AI and blockchain, organizations may be able to fight deep fake threats and reduce this risk in the coming years.
Manufacturers will turn to smart factories and offices, allowing critical functions to be monitored remotely or, at a minimum, by fewer people.
Emotion AI is about understanding the behaviors that let you measure and influence the emotions in an interaction.
