Texas University Partners With MITRE On Ethical AI Research
The work evaluates ethical AI systems in six core areas, including enhancing middle-skill work with human-like robotic tools, reducing misinformation through …
Topic: Artificial intelligence technologies
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.
Bringing AI to the Edge: Focus on the Plumbing First
The data pipelines and plumbing underneath efforts to support artificial intelligence and machine learning capabilities at the edge are
Real-time Analytics News for Week Ending July 30
In this week's real-time analytics news: NVIDIA announced the general availability of NVIDIA AI Enterprise 2.1, its end-to-end AI and data analytics software …
Cornell Self-Driving Car Study Learns From Memories
A new Cornell University study has tried to embed memories into a self-driving vehicle to better learn routes and overcome weather
Log4j, Like COVID, is Endemic and Still Requires Attention
Observability is needed to help identify where Log4j is used and minimize any potential impact it may have until the software component is updated.
Solving for Sovereign Data with Edge AI
Global hybrid cloud infrastructures make it all the much harder to protect data. Organizations are looking to AI-based approaches that give them insights to …
Go for the Low-Hanging Fruit: How Traditional Insurers Can Compete with InsurTechs
By automating claims processing, onboarding, and underwriting, traditional insurers can see big gains when it comes to competitiveness and customer retention …
Automating Data Governance: Leverage AI as Your Digital Doorman
AI-infused data governance needs to become a core part of the enterprise toolset to counter content chaos and carefully manage information risk.
Real-time Analytics News for Week Ending July 16
In this week's real-time analytics news: AWS announced three new serverless analytics
Why Digital Transformation Drives the Need for AIOps
Due to the complexity of modern apps, the industry is undergoing a shift away from separate network and application monitoring tools towards
