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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 ...

The only AI glossary you’ll need this year

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Xiaomi's HarnessX rewrites its own AI scaffolding mid-task — and smaller models gain the most

Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% ...

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.
IEEE

Multi-Task Based Deep Learning Approach for Open-Set Wireless Signal Identification in ISM Band

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 ...

‘There’s this deep mystery of what, actually, is this thing?’: the philosopher inside Google DeepMind AI

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 ...
IEEE

Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation

Abstract: While performing a colonoscopy, there are many tasks to be done: finding polyps, classifying them, and deciding the next procedure for the polyps, whether to incise them or not. Such tasks ...

In 1958, Frank Rosenblatt unveiled the perceptron in New York, laying the groundwork for image recognition in modern AI

A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...

The AI Data Company Lifecycle

The AI data industry will continue to reinvent itself, and the companies that take the lead will do so by building a sustainable infrastructure.
Scientific Research Publishing

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, and Research Innovation ()

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...