Quantum chips just proved they’re ready for the real worldArtificial Intelligence News — ScienceDailyon September 28, 2025 at 11:00 am Diraq has shown that its silicon-based quantum chips can maintain world-class accuracy even when mass-produced in semiconductor foundries. Achieving over 99% fidelity in two-qubit operations, the breakthrough clears a major hurdle toward utility-scale quantum computing. Silicon’s compatibility with existing chipmaking processes means building powerful quantum processors could become both cost-effective and scalable.
Diraq has shown that its silicon-based quantum chips can maintain world-class accuracy even when mass-produced in semiconductor foundries. Achieving over 99% fidelity in two-qubit operations, the breakthrough clears a major hurdle toward utility-scale quantum computing. Silicon’s compatibility with existing chipmaking processes means building powerful quantum processors could become both cost-effective and scalable. Read More
What Clients Really Ask for in AI ProjectsTowards Data Scienceon September 27, 2025 at 2:30 pm Managing AI projects is no walk in the park, but you have the power to make it easier for everyone
The post What Clients Really Ask for in AI Projects appeared first on Towards Data Science.
Managing AI projects is no walk in the park, but you have the power to make it easier for everyone
The post What Clients Really Ask for in AI Projects appeared first on Towards Data Science. Read More
The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output TokensMarkTechPoston September 27, 2025 at 11:08 pm Google released an updated version of Gemini 2.5 Flash and Gemini 2.5 Flash-Lite preview models across AI Studio and Vertex AI, plus rolling aliases—gemini-flash-latest and gemini-flash-lite-latest—that always point to the newest preview in each family. For production stability, Google advises pinning fixed strings (gemini-2.5-flash, gemini-2.5-flash-lite). Google will give a two-week email notice before retargeting a
The post The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens appeared first on MarkTechPost.
Google released an updated version of Gemini 2.5 Flash and Gemini 2.5 Flash-Lite preview models across AI Studio and Vertex AI, plus rolling aliases—gemini-flash-latest and gemini-flash-lite-latest—that always point to the newest preview in each family. For production stability, Google advises pinning fixed strings (gemini-2.5-flash, gemini-2.5-flash-lite). Google will give a two-week email notice before retargeting a
The post The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens appeared first on MarkTechPost. Read More
Learning Triton One Kernel At a Time: Vector AdditionTowards Data Scienceon September 27, 2025 at 4:00 pm The basics of GPU programming, optimisation, and your first Triton kernel
The post Learning Triton One Kernel At a Time: Vector Addition appeared first on Towards Data Science.
The basics of GPU programming, optimisation, and your first Triton kernel
The post Learning Triton One Kernel At a Time: Vector Addition appeared first on Towards Data Science. Read More
How to Build an Intelligent AI Desktop Automation Agent with Natural Language Commands and Interactive Simulation?MarkTechPoston September 27, 2025 at 6:40 am In this tutorial, we walk through the process of building an advanced AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret natural language commands, simulate desktop tasks such as file operations, browser actions, and workflows, and provide interactive feedback through a virtual environment. By combining NLP, task execution, and
The post How to Build an Intelligent AI Desktop Automation Agent with Natural Language Commands and Interactive Simulation? appeared first on MarkTechPost.
In this tutorial, we walk through the process of building an advanced AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret natural language commands, simulate desktop tasks such as file operations, browser actions, and workflows, and provide interactive feedback through a virtual environment. By combining NLP, task execution, and
The post How to Build an Intelligent AI Desktop Automation Agent with Natural Language Commands and Interactive Simulation? appeared first on MarkTechPost. Read More
CAMIA privacy attack reveals what AI models memoriseAI Newson September 26, 2025 at 5:17 pm Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI
The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.
Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI
The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News. Read More
Building health care agents using Amazon Bedrock AgentCoreArtificial Intelligenceon September 26, 2025 at 4:03 pm In this solution, we demonstrate how the user (a parent) can interact with a Strands or LangGraph agent in conversational style and get information about the immunization history and schedule of their child, inquire about the available slots, and book appointments. With some changes, AI agents can be made event-driven so that they can automatically send reminders, book appointments, and so on.
In this solution, we demonstrate how the user (a parent) can interact with a Strands or LangGraph agent in conversational style and get information about the immunization history and schedule of their child, inquire about the available slots, and book appointments. With some changes, AI agents can be made event-driven so that they can automatically send reminders, book appointments, and so on. Read More
Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in MindTowards Data Scienceon September 26, 2025 at 2:00 pm Why the original MissForest algorithm cannot be directly applied for predictive modeling, and how MissForestPredict solves this problem
The post Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind appeared first on Towards Data Science.
Why the original MissForest algorithm cannot be directly applied for predictive modeling, and how MissForestPredict solves this problem
The post Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind appeared first on Towards Data Science. Read More
US investigators are using AI to detect child abuse images made by AIMIT Technology Reviewon September 26, 2025 at 7:03 pm Generative AI has enabled the production of child sexual abuse images to skyrocket. Now the leading investigator of child exploitation in the US is experimenting with using AI to distinguish AI-generated images from material depicting real victims, according to a new government filing. The Department of Homeland Security’s Cyber Crimes Center, which investigates child exploitation…
Generative AI has enabled the production of child sexual abuse images to skyrocket. Now the leading investigator of child exploitation in the US is experimenting with using AI to distinguish AI-generated images from material depicting real victims, according to a new government filing. The Department of Homeland Security’s Cyber Crimes Center, which investigates child exploitation… Read More
Hugging Face Releases Smol2Operator: A Fully Open-Source Pipeline to Train a 2.2B VLM into an Agentic GUI CoderMarkTechPoston September 26, 2025 at 8:51 pm Hugging Face (HF) has released Smol2Operator, a reproducible, end-to-end recipe that turns a small vision-language model (VLM) with no prior UI grounding into a GUI-operating, tool-using agent. The release covers data transformation utilities, training scripts, transformed datasets, and the resulting 2.2B-parameter model checkpoint—positioned as a complete blueprint for building GUI agents from scratch rather than
The post Hugging Face Releases Smol2Operator: A Fully Open-Source Pipeline to Train a 2.2B VLM into an Agentic GUI Coder appeared first on MarkTechPost.
Hugging Face (HF) has released Smol2Operator, a reproducible, end-to-end recipe that turns a small vision-language model (VLM) with no prior UI grounding into a GUI-operating, tool-using agent. The release covers data transformation utilities, training scripts, transformed datasets, and the resulting 2.2B-parameter model checkpoint—positioned as a complete blueprint for building GUI agents from scratch rather than
The post Hugging Face Releases Smol2Operator: A Fully Open-Source Pipeline to Train a 2.2B VLM into an Agentic GUI Coder appeared first on MarkTechPost. Read More