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Multi-agent reinforcement learning driving smart factory agility
At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...
Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% ...
Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.
Abstract: Wireless signal identification plays an important role in effectively implementing spectrum monitoring and management. However, in ISM (Industrial, Science and Medical) band, it becomes a ...
Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...
Abstract: The resource-constrained edge devices are struggling with the rising computational demands of modern user applications with many dependent tasks. In this paper, we investigate the dependent ...
The AI data industry will continue to reinvent itself, and the companies that take the lead will do so by building a sustainable infrastructure.
Cheaper AI models are changing how businesses manage AI costs in 2026 as token bills rise and South African firms watch ...
This article is brought to you by Capital One. After five years leading natural language understanding and eventually the ...
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