Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

By offering AI-driven technical analysis tools, scalping signals, and index trading signals, the platform equips traders to ...

Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, ...

By combining AI with molecular dynamics simulations, researchers at the Department of Energy's Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...

A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward ...

2. CI/CD Integration (3-12 Months): Once the pilot validates the approach, integrate formal verification checks into the ...

The underlying logic of mini program ranking optimization is to resonate with the platform's algorithmic value. The algorithm ...

Rather than focusing merely on technological breakthroughs, China’s approach emphasizes integration: ensuring that AI capabilities are not only developed, but ...

IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...

Abstract: In this paper, we analyze the current state of targeted advertising on various social media platforms using algorithmic analysis and implementing strategies. Social media plays an ...

From "Keyword Matching" to "Capability Profiling" The core breakthrough of the OpenAI Jobs Platform lies in overturning the traditional "resume screening" model. The platform relies on the GPT-5 large ...

In many ways, this is how ecosystems scale. NVIDIA’s CUDA (Compute Unified Device Architecture), for example, succeeded not ...