How 2025 Recalibrated AI Models Race

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Manila Standard

Alibaba Cloud named a leader in Gartner Magic Quadrant for cloud database management systems for sixth consecutive year

Recognized for its ability to execute and completeness of vision Alibaba Cloud, the digital technology and intelligence ...
newswit

Alibaba Cloud Named a Leader in Gartner(R) Magic Quadrant(TM) for Cloud Database Management Systems for Sixth Consecutive Year Recognized for its Abilit…

Alibaba Cloud Named a Leader in Gartner (R) Magic Quadrant (TM) for Cloud Database Management Systems for Sixth Consecutive ...
ThaiPR.NET

Alibaba Cloud Named a Leader in Gartner® Magic Quadrant™ for Cloud Database Management Systems for Sixth Consecutive Year Recognized for its Ability to Execu…

Alibaba Cloud Named a Leader in Gartner® Magic Quadrant™ for Cloud Database Management Systems for Sixth Consecutive ...
IEEE

Continuum Robots: A Real-Time Model-Based Data-Driven Nonlinear Controller

Abstract: Model-based control for continuum robots is often based on the piecewise constant curvature (PCC) assumption. However, the actual physical motions of continuum robots deviate significantly ...
Microsoft

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024 ...
IEEE

Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey

Abstract: Due to the greatly improved capabilities of devices, massive data, and increasing concern about data privacy, Federated Learning (FL) has been increasingly considered for applications to ...
ebm.bmj

From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis

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