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Sanaz Vahdati, MD discusses the cybersecurity risks associated with AI use in radiology radiologyai.substack.com/p/cybersecurity-the-sile... #blogging #ML #MachineLearning

Twilio's A2H is a new protocol that helps agents talk to humans Twilio launches Agent-2-Human (A2H), an open-source protocol to bridge the gap between AI agents and human judgment through secure, multi-channel handoffs.

sn-news: #ai #ml #lm #hmc Twilio’s A2H is a new protocol that helps agents talk to humans thenewstack.io/twilio-a2h-p...

LLM Landscape 2026: Intelligence Leaderboard and Model Guide A comprehensive April 2026 ranking of the top AI language models by vendor, featuring composite capability scores, context windows, pricing, and use-case guidance for Gemini 3.1, GPT-5.4, Claude Opus ...

The April 2026 LLM landscape is defined by task-specific leadership across a more distributed set of vendors than ever before. Google's Gemini 3.1 Pro Preview and OpenAI's GPT-5.4 share the top composite capability score. www.robotmunki.com/blog/llm-lan... #gemini #gpt5 #ml #modellandscape #llm

Image from article in Radiology: Artificial Intelligence

A new narrative review describes the evolution of AI applications for radiology from LLMs to autonomous agents https://doi.org/10.1148/ryai.250651 #AI #LLMs #ML

Sandboxes Won't Save You From OpenClaw | Tachyon Blog AI agent misbehavior isn't a sandbox problem—it's a permissions problem.

sn-news: #ai #ml #lm #hmc #security Sandboxes Won't Save You From OpenClaw tachyon.so/blog/sandbox...

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Recognizing our most engaged and thorough reviewers of 2025 with the Editor's Recognition Awards https://doi.org/10.1148/ryai.260178 #AI #appreciation #ML

Cloud ML testing pushes people to skip risky inputs to save money/privacy. InferProbe lets you test everything locally without compromise. What's the riskiest input you've been hesitant to throw at your model?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

Day 64 of learning AI/ML

I studied Statistics & Probability
@khanacademy Unit8

• Discrete vs continuous random variables
• Probability distributions
• Mean, variance & standard deviation
• Probability density functions
• Probabilities from density curves

#LearnInPublic #AI #ML

InferProbe lets you test ML endpoints the way real users will hit them — messy, unpredictable, offline. What real-world scenario do you currently struggle to simulate in testing?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

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Cybersecurity: The Silent Risk in the Era of Radiology AI radiologyai.substack.com/p/cybersecurity-the-sile... #blog #radiology #ML

Deploying ML models is often harder than training them.
The serverless pattern (Docker + FastAPI + AWS Lambda + API Gateway + ECR) is becoming a clean, scalable way to serve real‑time predictions without managing servers.

#ML #MLOps #AWS #Serverless #Docker #FastAPI #DataEngineering

Scalars Explained | Mrsheerluck Blog In this post, we are going to learn about scalars

Started Linear algebra series

Explained all about scalars
#maths #algebra #machinelearning #ml

blog.sheerluck.dev/posts/scalar...

Last long distance call #feligami #ml

Image from article in Radiology: Artificial Intelligence

Editor’s Recognition Awards honor our excellent reviewers https://doi.org/10.1148/ryai.260178 #reviewers #ML #MachineLearning

Image from article in Radiology: Artificial Intelligence

Deep Learning–based determination of age from chest X-rays predicts all-cause and cause-specific mortality https://doi.org/10.1148/ryai.250609 #Ageing #ML #MachineLearning

Let's eviscerate Neural Rendering part 1 out of 3 #dlss5 #ai #funny #funnyvideos #ml youtube.com/shorts/gnXUE... (each will be about 30 seconds and discuss a different aspect of the tech, #spoilers, no geometry is involved in the trad sense) 🐾

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New from The Vasty Deep: Regulatory sandboxes are a powerful tool for safe and speedy clinical deployment radiologyai.substack.com/p/experimenting-with-reg... #EU #AI #ML

Ashif Ahmed Shuvo | AI & ML Expert Portfolio of Ashif Ahmed Shuvo, Machine Learning Enthusiast specializing in precision and sustainable agriculture.

Ready to #Innovate? 🚀

I bridge #AI, #ComputerVision, & #AgTech to solve real-world problems. From #EinsteinNet to #CatalystLab, I build data-driven solutions for a sustainable future.

Let's #Collaborate!

🔗 Explore my work: myself-aas.github.io/me/

#DataScience #ML #AgTech #AcademicSky #blog

The future of navigation is in your hands-literally.

My latest project, #InvisiClick, uses #OpenCV and #MediaPipe to turn simple hand #gestures into a virtual mouse. No hardware required, just pure #ComputerVision and #Python.

Watch it in action: youtu.be/icDmql-JSJs

#Al #ML #TechInnovation

Original post on infoq.com

TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreS...

#Database #Agents #Open #Source #Postgres #Linux #Fuse #AI, #ML […]

[Original post on infoq.com]

Original post on infoq.com

TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreS...

#Database #Agents #Linux #Postgres #Fuse #Open #Source […]

[Original post on infoq.com]

Machine learning models for rapid prediction of chemicals’ life-cycle environmental impacts: Current status, challenges, and future directions Understanding and reducing the life-cycle environmental impacts of chemicals can benefit a wide range of industries. However, current life cycle asses…

Find out more how machine learning can be used to predict the life-cycle environmental impacts of chemicals in this #review #ML #AI #LCA
Machine learning models for rapid prediction of chemicals’ life-cycle ... www.sciencedirect.com/science/arti...

B2B Authentication Provider Comparison: Features, Pricing & SSO Support (2026) This comprehensive guide compares the leading B2B authentication providers in 2026, including Auth0, Okta, SSOJet, MojoAuth, FusionAuth, and Keycloak. The article explores enterprise SSO, SCIM provisioning, pricing models, developer experience, and authentication protocols such as SAML, OAuth, and OpenID Connect. It also includes feature comparisons, real-world SaaS use cases, pricing analysis, and future identity trends like passkeys and zero-trust security.

B2B Authentication Provider Comparison: Features, Pricing & SSO Support (2026)

This comprehensive guide compares the leading B2B authentication providers in 2026, including Auth0, Okta, SSOJet, MojoAuth, FusionAuth, and Keycloak.

The article explores enterprise SSO, SCIM pro…
#hackernews #ml #news

Как я запустил AI-ассистента на старом Xiaomi 11T, который пылился в ящике Убирался в комнате, наткнулся на старый...

#openclaw #android #termux #proot #ai-assistant #self-hosted #xiaomi #ai #ml #ubuntu

Origin | Interest | Match

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too) A small fintech startup was looking for someone to take their credit scoring model and make it production-ready. The project was more involved than I expected, but by Sunday evening, I had a working end-to-end MLOps pipeline running. This article is the tutorial I wish I had before starting.

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too)

A small fintech startup was looking for someone to take their credit scoring model and make it production-ready. The project was more involved than I expected, but by Sund…

Telegram AI Digest
#ai #ml #mlops

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too)

Проект выходного дня: Я построил полный конвейер MLOps для модели кредитного скоринга (и вы тоже можете).

Небольшой финтех-стартап искал кого-то, кто мог бы взять их модель кредитного скоринга и подготовить ее к использованию в продакшене. Проект оказался сложн…

Telegram ИИ Дайджест
#ai #ml #mlops

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too) A small fintech startup was looking for someone to take their credit scoring model and make it production-ready. The project was more involved than I expected, but by Sunday evening, I had a working end-to-end MLOps pipeline running. This article is the tutorial I wish I had before starting.

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too)

A small fintech startup was looking for someone to take their credit scoring model and make it production-ready. The project was more involved than I expected, but by Sunday evening, I…
#hackernews #ml #news

Most ML debugging happens in clean, controlled conditions. Real inputs are messy. InferProbe lets you test the mess locally. What's the messiest input you've ever had to debug?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

Image from article in Radiology: Artificial Intelligence

Irvine Sihlahla discusses the value of regulatory sandboxes for radiology AI in new blog post radiologyai.substack.com/p/experimenting-with-reg... #AI #ML #MachineLearning

How Honeylove boosts product quality and service efficiency with BigQuery Honeylove, a tech-driven intimates brand, uses data to optimize its products and customer experience. Initially, Honeylove had fragmented data across various platforms, hindering effective analysis. They adopted BigQuery to centralize data, enabling AI and ML integration for deeper insights. BigQuery ML analyzes drivers of key metrics, creating accessible reports via Gemini, saving significant time. Automated forecasting with BigQuery ML has improved accuracy significantly for inventory and demand planning. Honeylove uses Gemini embedding models and BigQuery vector search to analyze customer service tickets for valuable feedback. This technology identifies root causes, improve product development and customer service efficiency. Multimodal embeddings are used for video asset search, informing creative and predicting performance. Google Cloud and BigQuery are central to Honeylove's operations, boosting efficiency and innovation. Honeylove continues to expand their use of Google Cloud for automated models and enhancing customer experience.

How Honeylove boosts product quality and service efficiency with BigQuery

Honeylove, a tech-driven intimates brand, uses data to optimize its products and customer experience. Initially, Honeylove had fragmented data across various platforms, hindering ef…

Telegram AI Digest
#gemini #geminiai #ml