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How Active Learning Improves Nighttime Pedestrian Detection

Active learning makes it possible for AI to automatically choose the right training data. An ensemble of dedicated DNNs goes through a pool of image frames, flagging frames that it finds to be confusing. These frames are then labeled and added to the training dataset. This process can improve DNN perception in difficult conditions, such as nighttime pedestrian detection.

DCS talks to ToffeeX at TechExGlobal 2025

In this video, DCS talks to ToffeeX at TechExGlobal 2025.

Five principles for sustainably adopting and running GenAI

Maria Mohr, Global Presales Sustainability Lead at Dell Technologies, and Sarwar Khan,...

DCS talks to Barbara at TechExGlobal 2025

In this video, DCS talks to Barbara at TechExGlobal 2025.

DCS talks to Edge Impulse at TechExGlobal 2025

In this video, DCS talks to Edge Impulse at TechExGlobal 2025.

DCS talks to Nasuni at TechExGlobal 2025

In this video, DCS talks to Nasuni at TechExGlobal 2025.

AI for SMEs

Vicky Critchley, CEO of Truly SMB, explains how this recently launched, forward-thinking tech...

Foundation first, followed by agentic AI and AI sovereignty

James Hodge, GVP & Chief Strategy Advisor at Splunk and member of the TechUK AI Committee,...

AI transforming IT Operations

Taggart Matthiesen, Chief Product Officer of LogicMonitor, discusses the findings of the...

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