In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, ...
Download the latest Karnataka 2nd PUC Computer Science Model Question Paper 2025–26 with answers. Master the DPUE blueprint, ...
Current AI models fail to recognize 'relational' image similarities, such as how the Earth’s layers are similar to a peach, ...
Abstract: This paper proposes a distributed model predictive control (DMPC) for a class of discrete-time stochastic multi-agent systems subject to partially coupled temporal logic tasks. For each ...
Chinese AI startup DeepSeek has released two powerful new AI models that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini-3.0-Pro — a development that could ...
Abstract: This study introduces a robust planning framework that utilizes a model predictive control (MPC) approach, enhanced by incorporating signal temporal logic (STL) specifications. This marks ...
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