Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...
Artificial Immune System™ (AIS) security framework BOCA RATON, FL, UNITED STATES, February 3, 2026 /EINPresswire.com/ ...
Opinion
The Learning-Authority Dilemma: What Happens When AI Agent Capability Exceeds Human Oversight?
We stand at a turning point in artificial intelligence. For years, we built AI systems that followed our commands. Now, we are building AI agents that do not just follow commands, but learn, adapt, ...
A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
How Do Non-Human Identities Impact Security in a Cloud Environment? Have you ever pondered how non-human identities (NHIs) play a role? Where organizations migrate to cloud-based systems, security is ...
The Unicity Labs team, which previously built and exited Guardtime, a cybersecurity infrastructure company, includes PhD researchers in distributed systems, cryptography, and machine learning. The ...
Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...
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