The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance riskAI News Meta’s US$2 billion acquisition of AI agent startup Manus has become every enterprise CTO’s cross-border compliance risk lesson. China’s Ministry of Commerce announced on January 9 that it would assess whether the deal violated export controls, technology transfer rules, and overseas investment regulations, despite Manus relocating from Beijing to Singapore in 2025. The investigation exposes
The post The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance risk appeared first on AI News.
Meta’s US$2 billion acquisition of AI agent startup Manus has become every enterprise CTO’s cross-border compliance risk lesson. China’s Ministry of Commerce announced on January 9 that it would assess whether the deal violated export controls, technology transfer rules, and overseas investment regulations, despite Manus relocating from Beijing to Singapore in 2025. The investigation exposes
The post The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance risk appeared first on AI News. Read More
Retailers like Kroger and Lowe’s test AI agents without handing control to GoogleAI News Retailers are starting to confront a problem that sits behind much of the hype around AI shopping: as customers turn to chatbots and automated assistants to decide what to buy, retailers risk losing control over how their products are shown, sold, and bundled. That concern is pushing some large chains to build or support their
The post Retailers like Kroger and Lowe’s test AI agents without handing control to Google appeared first on AI News.
Retailers are starting to confront a problem that sits behind much of the hype around AI shopping: as customers turn to chatbots and automated assistants to decide what to buy, retailers risk losing control over how their products are shown, sold, and bundled. That concern is pushing some large chains to build or support their
The post Retailers like Kroger and Lowe’s test AI agents without handing control to Google appeared first on AI News. Read More
Optimizing Data Transfer in Batched AI/ML Inference WorkloadsTowards Data Science A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 2
The post Optimizing Data Transfer in Batched AI/ML Inference Workloads appeared first on Towards Data Science.
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 2
The post Optimizing Data Transfer in Batched AI/ML Inference Workloads appeared first on Towards Data Science. Read More
Anthropic is bringing Claude for healthcare, following a similar move by OpenAI for ChatGPT. […] Read More
Instagram says it fixed a bug that allowed threat actors to mass-request password reset emails, amid claims that data from more than 17 million Instagram accounts was scraped and leaked online. […] Read More
The California Privacy Protection Agency (CalPrivacy) has taken action against the Datamasters marketing firm that sold the health and personal data of millions of users without being registered as a data broker. […] Read More
Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car ExampleTowards Data Science Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous vehicle car safety agent running on OpenAI’s GPT 5.2
The post Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example appeared first on Towards Data Science.
Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous vehicle car safety agent running on OpenAI’s GPT 5.2
The post Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example appeared first on Towards Data Science. Read More
Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL ToolkitMarkTechPost What does an end to end stack for terminal agents look like when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluation? A team of researchers from CAMEL AI, Eigent AI and other collaborators have released SETA, a toolkit and environment stack that focuses on reinforcement learning for terminal agents. The project targets
The post Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit appeared first on MarkTechPost.
What does an end to end stack for terminal agents look like when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluation? A team of researchers from CAMEL AI, Eigent AI and other collaborators have released SETA, a toolkit and environment stack that focuses on reinforcement learning for terminal agents. The project targets
The post Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit appeared first on MarkTechPost. Read More
A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorchMarkTechPost In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We construct a clean and a poisoned training pipeline side by side, using a ResNet-style convolutional network to ensure stable, comparable learning dynamics. By selectively flipping a fraction of samples from
The post A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch appeared first on MarkTechPost.
In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We construct a clean and a poisoned training pipeline side by side, using a ResNet-style convolutional network to ensure stable, comparable learning dynamics. By selectively flipping a fraction of samples from
The post A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch appeared first on MarkTechPost. Read More
Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI Towards Data Science
Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BITowards Data Science A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way.
The post Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI appeared first on Towards Data Science.
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way.
The post Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI appeared first on Towards Data Science. Read More
