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 ...

As we move into the next era of digital ecosystems, the transition from automation to autonomy requires a complete ...

Traditional machine learning emphasized predictive accuracy. Generative systems required attention to hallucination mitigation and grounding. Agentic systems shift the challenge again. They do not ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

We have all heard about autonomous vehicles, especially self-driving cars. But did you know that many of the same principles apply to self-driving airplanes? As the era of autonomous transportation ...

OneFii deploys customized AI-native enterprise systems for businesses, enabling 24/7 autonomous operations, scalable ...

Ranks among the top-performing agents on OpenAI's MLE-Bench and sets new performance milestones MUMBAI, India, Feb ...

Autonomous underwater vehicle (AUV) docking systems represent a critical technological advance in extending mission endurance and minimising operational costs in marine environments. These systems ...

How are AI Agents transforming DeFi? From autonomous risk management to liquidity optimization and smart contract security, ...

Ranks among the top-performing agents on OpenAI's MLE-Bench and sets new performance milestonesNEW YORK, Feb. 24, 2026 /PRNewswire/ -- Fractal ( a publicly listed global enterprise ...