We are currently witnessing a mobilization of technical ambition reminiscent of the Manhattan Project, a realization that data and compute are the new defining elements of national power. I am deeply ...
Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding their outputs in external knowledge. However, conventional chunk-based retrieval methods are limited ...
Ulcerative colitis (UC) is a chronic, immune-mediated inflammatory disorder of the colon that follows a relapsing-remitting course. Characterised by mucosal inflammation, the disease requires accurate ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
Valory co-founder David Minarsch says autonomous agents running on the Olas protocol are giving retail traders a 24/7, strategy-driven edge on platforms like Polymarket.
Abstract: Object detection is central to autonomous driving, but deploying detectors on embedded automotive platforms is constrained by tight power and latency budgets. Conventional single-exit ...
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