Abstract: Early and accurate disease prognosis remains a critical challenge in modern healthcare, especially when clinical data is high-dimensional, heterogeneous, and incomplete. This paper proposes ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

On January 15, 2026, Lori Flynn and Will Klieber presented this session at the Department of War (DoW) Artificial Intelligence/Machine Learning (AI/ML) Technical Exchange Meeting, in the Security and ...

However, a unified pipeline that couples transformer-based human-motion forecasting with Safe-RL policies under an online CBF/MPC safety filter for telepresence co-navigation in hospitals—and ...

The United States power grid- already an engineering marvel of so much more than poles and wires- is becoming increasingly complex. Data centers and industrial growth are driving increased demand amid ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, understanding, and multi-turn web searches with cropped images. Now, the company is ...

Please provide your email address to receive an email when new articles are posted on . Large language models can help ensure you are providing evidence-based care. Getting the right answer out of ...

A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...

Tip: For GPU acceleration, ensure that the appropriate CUDA Toolkit is installed and compatible with your versions of PyTorch and MMCV. Download and prepare two indoor radar datasets - HIBER and MMVR ...

Abstract: This paper provides a comprehensive review of the evolution of artificial intelligence from early symbolic, rule-based systems to modern large language models (LLMs) and retrieval-augmented ...