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Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Patriot Federal Credit Union has ...
AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...
The global AI in ultrasound imaging market is set to witness a growth rate of 22% in the next 5 years. Growing adoption of AI ...
Worms is becoming a hotspot for predictive high-end algorithm development: The deep-tech company mAInthink.ai presents ...
It’s impossible to ignore the tidal wave of excitement—and hype—surrounding generative AI. This revolutionary technology has ...
Ramprakash Ramamoorthy's journey from Zoho intern to Director of AI Research, leading the integration of machine learning in ...
Key Takeaways Modern bot detection blends behavior tracking, device fingerprinting, and smart machine learning to spot ...
AutoML for Embedded, developed by Analog Devices (ADI) and Antmicro, is an open-source plugin for Visual Studio Code that ...
Renmin University researchers present a comprehensive survey of sampling- and sketch-based algorithms for distinct value estimation in big data, offering insights to accelerate database queries, ...
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ITWeb on MSNBuilding a resilient data protection strategy for the AI eraA significant advancement AI brings to backup management is the ability to detect anomalies and potential threats in ...
Industry leaders warn that AI-powered fraud is becoming harder to detect, more scalable, and increasingly damaging, putting ...
While a phased approach can substantially de-risk AI adoption, it’s worth being aware of some common challenges: Data quality and accessibility: Fragmented data architectures and legacy systems often ...
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