Amazon said that the feature uses the Ring doorbell’s video descriptions to determine who the person in front the camera is based on their uniform, actions, and what they are holding.
The Middle East and Africa (MEA) region is quickly establishing itself as one of the world’s most promising frontiers for AI-led digital transformation as AI transforms economies around the world. Industry executives, legislators, and businesses convened at the Global AI Show Abu Dhabi to examine how cloud and AI technologies are transforming infrastructure, finance, governance, and innovation throughout the region. Carter Tian, Chief Solution Architect & AI Expert, representing Alibaba Cloud, gave a thorough explanation of Alibaba’s perspective […]
How to pass values to all children (multiple levels), both in Blazor and React, and what are the differences between the two
OpenAI is strengthening ChatGPT Atlas against prompt injection attacks using automated red teaming trained with reinforcement learning. This proactive discover-and-patch loop helps identify novel exploits early and harden the browser agent’s defenses as AI becomes more agentic.
By Michael Nielsen, September 26 2019 Note: Hastily written, a few observations based on writing I happened to find of interest The opening of Chapter II of Carl Sagan’s “Cosmos”: All my life I have wondered about the possibility of life elsewhere. What would it be like? Of what would it be made? … There was once a time before life, when the Earth was barren and utterly desolate. Our world is now overflowing with life. How did […]
The DataKinds language extension doesn’t work the way you think it does… probably. Of course I can’t possibly know what mental model you have for DataKinds. Perhaps you are one of the few who understand its true nature. But I’ve seen experts – yes, type-level Haskell wizards – fall into the trap that I’m about to expose. How DataKinds are commonly explained To set the stage, let’s take a look at how DataKinds are commonly explained. Matt Parsons […]
Diminished Reality (DR)—the ability to visually remove real-world objects from a live Augmented Reality (AR) feed—is essential for reducing cognitive load and decluttering workspaces. However, existing techniques face a critical challenge: removing an object creates a visual void (“hole”) that must be filled with a plausible background. Traditional 2D inpainting methods lack temporal consistency, causing the background to flicker or slide as the user moves. In this paper, we propose Clean-Splat, a novel framework for real-time, multi-view consistent […]
Enterprises have been experimenting with AI tools for a few years. Investors predict they will start to pick winners in 2026.
Individual phishing URLs are often short-lived, but underlying infrastructure such as domains, IP addresses, and certificates exhibits recurring patterns. We propose a graph-based detection framework that models a heterogeneous network comprising domains, IP addresses, TLS certificates, and registrars. Node embeddings are learned using a relational graph convolutional network (R-GCN) trained on 3.1 million domains, of which 210,000 are labeled as phishing-related. Structural features such as shared-IP communities, certificate reuse, and registrar clusters are incorporated into the model. The […]
Placental abruption is detachment of the placenta before delivery from the implantation site that may have a potential to develop life-threating emergency clinic syptoms. The multifactorial nature of this disorder and no lab testing or procedures that can diagnose placental abruption. makes it difficult to predict. Artificial intelligence (AI) and machine learning (ML) have the potential to enhance clinical decision-making and enable precise assessments. This study purposed on predictive 15 ML models for placental abruption high-lighting input characteristics, […]