Authored by Derrick Jackson & Co-Author Lisa Yu Pressed For TimeReview or Download our 2-3 min Quick Slides or the 5-7 min Article Insights to gain knowledge with the time you have! The AWS Certified Machine Learning Engineer – Associate certification launched in October 2024, marking Amazon’s strategic expansion into role-based AI/ML credentials. This certification validates your ability […]
Martin Frederik, Snowflake: Data quality is key to AI-driven growthAI Newson September 23, 2025 at 4:34 pm As companies race to implement AI, many are finding that project success hinges directly on the quality of their data. This dependency is causing many ambitious initiatives to stall, never making it beyond the experimental proof-of-concept stage. So, what’s the secret to turning these experiments into real revenue generators? AI News caught up with Martin
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As companies race to implement AI, many are finding that project success hinges directly on the quality of their data. This dependency is causing many ambitious initiatives to stall, never making it beyond the experimental proof-of-concept stage. So, what’s the secret to turning these experiments into real revenue generators? AI News caught up with Martin
The post Martin Frederik, Snowflake: Data quality is key to AI-driven growth appeared first on AI News. Read More
Generative AI Myths, Busted: An Engineers’s Quick GuideTowards Data Scienceon September 23, 2025 at 6:08 pm A super simple and quick guide to how generative AI works, the myths around it, and why it won’t replace engineers anytime soon.
The post Generative AI Myths, Busted: An Engineers’s Quick Guide appeared first on Towards Data Science.
A super simple and quick guide to how generative AI works, the myths around it, and why it won’t replace engineers anytime soon.
The post Generative AI Myths, Busted: An Engineers’s Quick Guide appeared first on Towards Data Science. Read More
Accurate and Efficient Low-Rank Model Merging in Core Spacecs.AI updates on arXiv.orgon September 23, 2025 at 4:00 am arXiv:2509.17786v1 Announce Type: cross
Abstract: In this paper, we address the challenges associated with merging low-rank adaptations of large neural networks. With the rise of parameter-efficient adaptation techniques, such as Low-Rank Adaptation (LoRA), model fine-tuning has become more accessible. While fine-tuning models with LoRA is highly efficient, existing merging methods often sacrifice this efficiency by merging fully-sized weight matrices. We propose the Core Space merging framework, which enables the merging of LoRA-adapted models within a common alignment basis, thereby preserving the efficiency of low-rank adaptation while substantially improving accuracy across tasks. We further provide a formal proof that projection into Core Space ensures no loss of information and provide a complexity analysis showing the efficiency gains. Extensive empirical results demonstrate that Core Space significantly improves existing merging techniques and achieves state-of-the-art results on both vision and language tasks while utilizing a fraction of the computational resources. Codebase is available at https://github.com/apanariello4/core-space-merging.
arXiv:2509.17786v1 Announce Type: cross
Abstract: In this paper, we address the challenges associated with merging low-rank adaptations of large neural networks. With the rise of parameter-efficient adaptation techniques, such as Low-Rank Adaptation (LoRA), model fine-tuning has become more accessible. While fine-tuning models with LoRA is highly efficient, existing merging methods often sacrifice this efficiency by merging fully-sized weight matrices. We propose the Core Space merging framework, which enables the merging of LoRA-adapted models within a common alignment basis, thereby preserving the efficiency of low-rank adaptation while substantially improving accuracy across tasks. We further provide a formal proof that projection into Core Space ensures no loss of information and provide a complexity analysis showing the efficiency gains. Extensive empirical results demonstrate that Core Space significantly improves existing merging techniques and achieves state-of-the-art results on both vision and language tasks while utilizing a fraction of the computational resources. Codebase is available at https://github.com/apanariello4/core-space-merging. Read More
Autiverse: Eliciting Autistic Adolescents’ Daily Narratives through AI-guided Multimodal Journalingcs.AI updates on arXiv.orgon September 23, 2025 at 4:00 am arXiv:2509.17466v1 Announce Type: cross
Abstract: Journaling can potentially serve as an effective method for autistic adolescents to improve narrative skills. However, its text-centric nature and high executive functioning demands present barriers to practice. We present Autiverse, an AI-guided multimodal journaling app for tablets that scaffolds storytelling through conversational prompts and visual supports. Autiverse elicits key details through a stepwise dialogue with peer-like, customizable AI and composes them into an editable four-panel comic strip. Through a two-week deployment study with 10 autistic adolescent-parent dyads, we examine how Autiverse supports autistic adolescents to organize their daily experience and emotion. Autiverse helped them construct coherent narratives, while enabling parents to learn additional details of their child’s events and emotions. The customized AI peer created a comfortable space for sharing, fostering enjoyment and a strong sense of agency. We discuss the implications of designing technologies that complement autistic adolescents’ strengths while ensuring their autonomy and safety in sharing experiences.
arXiv:2509.17466v1 Announce Type: cross
Abstract: Journaling can potentially serve as an effective method for autistic adolescents to improve narrative skills. However, its text-centric nature and high executive functioning demands present barriers to practice. We present Autiverse, an AI-guided multimodal journaling app for tablets that scaffolds storytelling through conversational prompts and visual supports. Autiverse elicits key details through a stepwise dialogue with peer-like, customizable AI and composes them into an editable four-panel comic strip. Through a two-week deployment study with 10 autistic adolescent-parent dyads, we examine how Autiverse supports autistic adolescents to organize their daily experience and emotion. Autiverse helped them construct coherent narratives, while enabling parents to learn additional details of their child’s events and emotions. The customized AI peer created a comfortable space for sharing, fostering enjoyment and a strong sense of agency. We discuss the implications of designing technologies that complement autistic adolescents’ strengths while ensuring their autonomy and safety in sharing experiences. Read More
The Art of Asking Good QuestionsTowards Data Scienceon September 23, 2025 at 6:12 pm As a data scientist, are you driving product decisions? Or just supporting them? The right questions can turn AI from a threat into your career’s best ally. Here’s how to start asking them.
The post The Art of Asking Good Questions appeared first on Towards Data Science.
As a data scientist, are you driving product decisions? Or just supporting them? The right questions can turn AI from a threat into your career’s best ally. Here’s how to start asking them.
The post The Art of Asking Good Questions appeared first on Towards Data Science. Read More
Public trust deficit is a major hurdle for AI growthAI Newson September 22, 2025 at 3:47 pm While politicians tout AI’s promise of growth and efficiency, a new report reveals a public trust deficit in the technology. Many are deeply sceptical, creating a major headache for governments’ plans. A deep dive by the Tony Blair Institute for Global Change (TBI) and Ipsos has put some hard numbers on this feeling of unease.
The post Public trust deficit is a major hurdle for AI growth appeared first on AI News.
While politicians tout AI’s promise of growth and efficiency, a new report reveals a public trust deficit in the technology. Many are deeply sceptical, creating a major headache for governments’ plans. A deep dive by the Tony Blair Institute for Global Change (TBI) and Ipsos has put some hard numbers on this feeling of unease.
The post Public trust deficit is a major hurdle for AI growth appeared first on AI News. Read More
Authored by Derrick Jackson & Co-Author Lisa Yu | Last updated 09/22/2025 Pressed For TimeReview or Download our 2-3 min Quick Slides or the 5-7 min Article Insights to gain knowledge with the time you have! AWS Cloud Practitioner Certification: Complete 2025 Overview to Study Hours, Salary & Career Value The AWS Certified Cloud Practitioner costs $100 and takes […]
Creating and Deploying an MCP Server from ScratchTowards Data Scienceon September 22, 2025 at 5:55 pm A step-by-step guide for putting an MCP server online in minutes
The post Creating and Deploying an MCP Server from Scratch appeared first on Towards Data Science.
A step-by-step guide for putting an MCP server online in minutes
The post Creating and Deploying an MCP Server from Scratch appeared first on Towards Data Science. Read More
Integrating DataHub into Jira: A Practical Guide Using DataHub ActionsTowards Data Scienceon September 22, 2025 at 5:39 pm A walkthrough of how to integrate metadata changes in DataHub into Jira workflows using the DataHub Actions Framework
The post Integrating DataHub into Jira: A Practical Guide Using DataHub Actions appeared first on Towards Data Science.
A walkthrough of how to integrate metadata changes in DataHub into Jira workflows using the DataHub Actions Framework
The post Integrating DataHub into Jira: A Practical Guide Using DataHub Actions appeared first on Towards Data Science. Read More