The United Kingdom’s data protection authority launched a formal investigation into X and its Irish subsidiary over reports that the Grok AI assistant was used to generate nonconsensual sexual images. […] Read More
Creating a Data Pipeline to Monitor Local Crime TrendsTowards Data Science A walkthough of creating an ETL pipeline to extract local crime data and visualize it in Metabase.
The post Creating a Data Pipeline to Monitor Local Crime Trends appeared first on Towards Data Science.
A walkthough of creating an ETL pipeline to extract local crime data and visualize it in Metabase.
The post Creating a Data Pipeline to Monitor Local Crime Trends appeared first on Towards Data Science. Read More
5 Time Series Foundation Models You Are Missing Out OnKDnuggets Five widely adopted time series foundation models delivering accurate zero-shot forecasting across industries and time horizons.
Five widely adopted time series foundation models delivering accurate zero-shot forecasting across industries and time horizons. Read More
YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, StrongerTowards Data Science From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more
The post YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger appeared first on Towards Data Science.
From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more
The post YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger appeared first on Towards Data Science. Read More
How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOAMarkTechPost In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum data, construct entangled states, and then progressively implement Grover’s search with automatic uncomputation, Quantum Phase Estimation, and a full QAOA workflow for the MaxCut problem.
The post How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA appeared first on MarkTechPost.
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum data, construct entangled states, and then progressively implement Grover’s search with automatic uncomputation, Quantum Phase Estimation, and a full QAOA workflow for the MaxCut problem.
The post How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA appeared first on MarkTechPost. Read More
Democratizing business intelligence: BGL’s journey with Claude Agent SDK and Amazon Bedrock AgentCoreArtificial Intelligence BGL is a leading provider of self-managed superannuation fund (SMSF) administration solutions that help individuals manage the complex compliance and reporting of their own or a client’s retirement savings, serving over 12,700 businesses across 15 countries. In this blog post, we explore how BGL built its production-ready AI agent using Claude Agent SDK and Amazon Bedrock AgentCore.
BGL is a leading provider of self-managed superannuation fund (SMSF) administration solutions that help individuals manage the complex compliance and reporting of their own or a client’s retirement savings, serving over 12,700 businesses across 15 countries. In this blog post, we explore how BGL built its production-ready AI agent using Claude Agent SDK and Amazon Bedrock AgentCore. Read More
Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local DevelopmentMarkTechPost Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The model uses a sparse Mixture-of-Experts (MoE) architecture with hybrid attention. It has 80B total parameters, but only 3B parameters are activated per token. The goal is to match the
The post Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development appeared first on MarkTechPost.
Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The model uses a sparse Mixture-of-Experts (MoE) architecture with hybrid attention. It has 80B total parameters, but only 3B parameters are activated per token. The goal is to match the
The post Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development appeared first on MarkTechPost. Read More
Most security teams today are buried under tools. Too many dashboards. Too much noise. Not enough real progress. Every vendor promises “complete coverage” or “AI-powered automation,” but inside most SOCs, teams are still overwhelmed, stretched thin, and unsure which tools are truly pulling their weight. The result? Bloated stacks, missed signals, and mounting pressure to […]
Autonomous AI agents are creating a new identity blind spot as they operate outside traditional IAM controls. Token Security shows why managing the full lifecycle of AI agent identities is becoming a critical CISO priority. […] Read More
Cybersecurity researchers have disclosed details of a now-patched security flaw impacting Ask Gordon, an artificial intelligence (AI) assistant built into Docker Desktop and the Docker Command-Line Interface (CLI), that could be exploited to execute code and exfiltrate sensitive data. The critical vulnerability has been codenamed DockerDash by cybersecurity company Noma Labs. It was addressed by Read […]
