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Agentic artificial intelligence follows the natural evolution of AI and a logical technological trajectory. These are new types of systems that can proactively identify problems, create plans, and exe
"For the past 10 years, we have been working on using AI to solve real-world problems," Daisuke Okanohara of Preferred Networks told CNBC's "Managing Asia."
Breakthrough innovations, bullish investments, and increasing adoption across industries are catalysts fueling robust growth. Furthermore, the progress made in artificial neural networks (ANN) has dramatically enhanced the integration and utilization of artificial intelligence across various industries.
To unlock the full potential of AI innovation pilot zones, governments and industries must work together to overcome existing challenges, and boost high-quality AI development. This requires advancing foundational research, strengthening AI infrastructure, expanding real-world applications and cultivating a skilled workforce.
Supporting surgeons' memories, reducing MRI claustrophobia and detecting polio from a picture: Here are the AI applications you probably haven't heard of.
When global technology company Endava sought to expand its Asia-Pacific presence, it looked for a partner with both technical expertise and deep regional roots.
AirMatrix, a leading global digital infrastructure provider, is pleased to announce the implementation of artificial intelligent agent teams to its command and control platform, Libra. This new addition aims to enhance autonomy and facilitate the transition from reactive to preventative.
Edge AI Continues to Evolve: AI chipmakers like Hailo and DeepX introduced more powerful edge processing solutions at CES, enabling real-time video analytics, object recognition, and generative AI-powered search.