IBM Confronts AI Resistance
The AI challenges organizations are wrestling with span everything from the integrity of the data being employed to drive AI models to a lack of
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
The AI challenges organizations are wrestling with span everything from the integrity of the data being employed to drive AI models to a lack of
An event-driven architecture supports the analysis of event notifications to make decisions based on situational awareness.
Using AI, researchers and executives can evaluate which areas of study have the best chance of translating to clinical trials.
Customer service organizations need AI and automation solutions to deliver efficiencies while also ensuring they understand the customer's
By integrating continuous intelligence systems into business processes using real time and historical data, organizations can respond in near real
AI is critical to bringing utilities into today's digital era and establishing a more affordable, reliable, accessible, and sustainable system.
AI research at US agencies includes work on autonomous systems, predictive maintenance, smart cities technology, and
Improved speech recognition is achieved using an artificial neural network that use opposition-based learning and bee colony behavior algorithms.
A greater understanding of a machine’s life and health is critical for the military. Predictive maintenance enabled through small IoT devices will help track …
Study: Intelligence AI chatbots are four times more effective at selling products than inexperienced