Artificial intelligence beats eight world champions at bridge
Victory marks milestone for AI as bridge requires more human skills than other strategy games
How eye imaging technology could help robots and cars see better
Using lessons learned from the eye-imaging technology optical coherence tomography (OCT), engineers have demonstrated a LiDAR system that is fast and accurate enough to potentially improve the vision of autonomous systems such as driverless cars and robotic manufacturing plants.
Report: 68% of orgs rely on in-house evaluation to tune AI models
The addition of data annotation to this list of popular AI technologies indicates more sophisticated use cases are on the way as AI matures.
Security tool guarantees privacy in surveillance footage
Surveillance cameras have an identity problem, fueled by an inherent tension between utility and privacy. As these powerful little devices have cropped up seemingly everywhere, the use of machine learning tools has automated video content analysis at a massive scale—but with increasing mass surveillance, there are currently no legally enforceable rules to limit privacy invasions.
4 key areas of opportunity for automation
Before you begin your journey toward automation, make sure to examine every step in the business process you’re looking to automate.
Linguistics and computer science: A surprising connection
Linguistics and computer science have plenty to offer individually and combined. You may find yourself at computer science's cutting edge by pairing these unlikely fields.
Nemesysco spinoff unveils emotional detection and AI tools for metaverse
Nemesysco is in the process of spinning off a new voice analytics company called Emotion Logic, which will use AI for emotion detection in the metaverse.
Simplified interface for time-series data predictions
Whether someone is trying to predict tomorrow's weather, forecast future stock prices, identify missed opportunities for sales in retail, or estimate a patient's risk of developing a disease, they will likely need to interpret time-series data, which are a collection of observations recorded over time.
Why are CEOs struggling to achieve enterprise value for AI at scale?
A recent Accenture report found that organizations that have been successful scaling AI have three success factors in common.
DataRobot’s Cloud 8.0 uses AI and ML to predict the unpredictable
With the release of Cloud 8.0, DataRobot’s Continuous AI capabilities are available in on-premises environments and leading public clouds.
CircleCI says successful software dev teams meet 4 criteria
A new report from CircleCI has indicated that the most successful software teams meet four key benchmarks.
A new approach to tackle optimization problems using Boltzmann machines
Ising machines are unconventional computer architectures based on physics principles, named after the German physicist Ernst Ising. In recent years, they have been found to be particularly promising tools for solving combinatorial optimization (CO) problems and create artificial models of the brain.
Why AI democratization will bring more power to the enterprise
Using techniques like natural language processing (NLP) and neural networking, AI will very likely bring an end to the graphical user and even command line interfaces
Babylon Health taps Google Cloud to boost scalability and innovation
AI-powered healthcare service Babylon Health has announced a partnership with Google Cloud to boost scalability and innovation.
Babylon Health taps Google Cloud to boost scalability and innovation
AI-powered healthcare service Babylon Health has announced a partnership with Google Cloud to boost scalability and innovation.
MIT Researchers Create a Tool for Predicting the Future
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time. Whether someone is trying to predict tomorrow’s weather, forecast future stock prices, identify missed opportunities for sales in retail
This is what makes deep learning so powerful
Deep learning's availability of large data and compute power makes it far better than any of the classical machine learning algorithms.
Why virtual assistants fail and how to fix them
If you are thinking deploying virtual assistants for customer care, here's how to build a frictionless experience for users.