The Future of AI: Artificial General Intelligence
To attain true AI understanding, researchers should shift their attention to developing a basic, underlying AGI technology that replicates the contextual understanding of humans.
To attain true AI understanding, researchers should shift their attention to developing a basic, underlying AGI technology that replicates the contextual understanding of humans.
Posted by: Salvatore Salamone Editor in Chief Exploring Artificial Intelligence Variants and Their Uses Artificial intelligence (AI) refers to the simulation of human intelligence in systems that are programmed to think like humans and mimic their actions. AI includes a broad range of technologies including cognitive computing, deep learning, expert systems, machine learning, natural language […]
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
An overview of GPU advances, how some companies are already using the tech, and why GPUs are key to cognitive computing.
In an era where fraudsters are increasingly adept at exploiting vulnerabilities in real time, traditional fraud detection methods are no longer sufficient. Organizations must adopt modern streaming engine technologies that can process and analyze customer event data in real time, allowing them to detect and prevent fraud as it happens.
Financial services and healthcare organizations are leading the way with the adoption of AI. And many companies across all industries are building real-time machine-learning applications.
In this week's real-time analytics news: The New Jersey Institute of Technology (NJIT) will establish the Grace Hopper AI Research Institute to advance the university’s expertise in AI.
The future of cybersecurity will be defined by new threats emerging from AI and machine learning and evolving cloud vulnerabilities. As such, organizations will need to focus on Zero Trust and supply chain security to remain agile, proactive, and resilient.
The true value of intelligent manufacturing technologies like AI, digital twins, IoT, and more is unlocked when people are empowered to oversee, adapt, and optimize their use.
As the demand for real-time insights and decision-making continues to grow, the ability to process and analyze data instantly is becoming a competitive differentiator for organizations across all industries.