In a bold move to tackle one of streaming’s biggest frustrations, endless scrolling, Netflix just unveiled a major redesign of its TV and mobile apps featuring a ChatGPT-powered AI chatbot and TikTok-style video reels. You’ll soon be able to ask Netflix in plain language what you’re in the mood for “funny and fast-paced” or “dark
Netflix Adds ChatGPT-Powered AI to Stop You From Scrolling Forever Read More »
Chinese tech powerhouse Baidu has filed a patent for a system that could use AI to decode animal sounds and behaviour then translate those signals into human language. For the millions of pet owners wondering what their animals are thinking, this could be the first real step toward bridging the communication gap between humans and
AI May Soon Help You Understand What Your Pet Is Trying to Say Read More »
More women are turning to ChatGPT for emotional support, using the AI chatbot as a stand-in therapist as mental health systems buckle under pressure. With long wait times and soaring costs, AI is filling a growing gap. Mental health care is harder to access than ever. In the UK, NHS data shows patients are eight
People are asking AI to recreate the same image over and over again, with each iteration drifting further and further from the original. The results are sometimes amusing, sometimes unsettling. In some cases, the images completely shape-shift into crazy abstract forms. In others, facial features are wildly exaggerated. One of the most viral images is
“Create a replica of this image. Don’t change anything” AI trend takes off Read More »
A wave of AI-powered scams is sweeping across WhatsApp, costing UK families nearly half a million pounds in 2025 alone and it’s only May. Cybercriminals are now combining old tricks with new tech. In the evolving “Hi Mum” scam, fraudsters impersonate a loved one over WhatsApp and ask for emergency cash. The twist They’re now
WhatsApp Warning: UK Parents Scammed Out of £500K by AI That Pretends to Be Their Kids Read More »
Malicious software (malware) causes much harm to our devices and life. We are eager to understand the malware behavior and the threat it made. Most of the record files of malware are variable length and text-based files with time stamps, such as event log data and dynamic analysis profiles. Using the time stamps, we can
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network Read More »
The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop
In this survey, we connect several lines of work from the pre-neural and neural era, by showing how hybrid approaches of words and characters as well as subword-based approaches based on learned segmentation have been proposed and evaluated. We conclude that there is and likely will never be a silver bullet singular solution for all
CNN Explainer tightly integrates a model overview that summarizes a CNN’s structure, and on-demand, dynamic visual explanation views that help users understand the underlying components of CNNs. Through smooth transitions across levels of abstraction, our tool enables users to inspect the interplay between low-level mathematical operations and high-level model structures.
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Read More »
In this presentation, the current issues to make federated learning flawlessly useful in the real world will be briefly overviewed. They are related to data/system heterogeneity, client management, traceability, and security. Also, we introduce the modularized federated learning framework, we currently develop, to experiment various techniques and protocols to find solutions for aforementioned issues. The
Federated Learning: Issues in Medical Application Read More »
