machine learning – Noise

Introducing Clairic, a new System One class of extraction models

Alex Reneau — Mon, 19 Oct 2026 17:48:26 +0000

Clairic is a new model from Cloudflare that is a System One extraction modeI, capable of extracting, computing, estimating, and forecasting data from unstructured inputs.

Integrating Netflix’s Foundation Model into Personalization applications

Netflix Technology Blog — Wed, 14 Oct 2026 20:02:22 +0000

Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita BhattacharyaThe motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized models...

Reliable GPU compute for large training & inference jobs

Netflix Technology Blog — Wed, 14 Oct 2026 19:47:42 +0000

Authors: Nick Rutigliano, Argha C, Samartha ChandrashekarHow we detect failing GPUs and network fabric, remediate machines automatically, and let long-running jobs survive hardware loss.Open Netflix, and the home screen is assembled for you: which rows...

Introducing Clef-omni with full multimodality, plus a faster Clef and a cheaper Clef-flash

Michelle Chen — Fri, 09 Oct 2026 18:27:34 +0000

We are expanding the Clef decision model family with Clef-omni, natively processing audio, video, images, and text in a single pipeline. We’ve also lowered Clef-flash pricing and boosted Clef inference speeds by up to 2.0x.

Powering AI-led research through simulation

Grab Tech — Mon, 05 Oct 2026 00:00:00 +0000

The short story Consider a Friday evening. A food order arrives from a mall in the city center. One driver is nearby; another is finishing a drop-off and will be available shortly; a second order from the same mall may or may not appear in the next tw...

Introducing Clef: our open-source decision models, and new RL fine-tuning platform

Michelle Chen — Thu, 01 Oct 2026 15:34:02 +0000

We are introducing Clef and Clef-flash, open-source decision models hosted on Workers AI for high-speed classification and agentic workflows. Also launching: a new reinforcement learning platform that allows developers to fine-tune decision models using their own data.

We tested our own WAF with frontier AI models. Here’s what we found

Vikram Grover — Tue, 29 Sep 2026 13:00:00 +0000

We built a WAF tester that adapted each request based on what the WAF blocked or passed. This helped us explore variations that a fixed test might miss. We ran it across six attack categories on an authorized staging environment and discovered detection gaps worth fixing. Here’s how the loop worked, what got through, and what we did about it.

When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts

Juan Miguel Cejuela — Wed, 16 Sep 2026 20:06:17 +0000

A modern storefront can look healthy while malicious JavaScript quietly siphons revenue, hijacks clicks, or rewrites analytics. See how Cloudflare's machine learning models surface evasive client-side attacks for analyst investigation.

The state of AI for security: Measuring what matters most for building trust

Anshumali Shrivastava — Wed, 09 Sep 2026 19:09:14 +0000

Security teams are starting to actively use AI for security work, including vulnerability triage, penetration testing, threat modeling, incident response, and code review. The promise is speed, but a security tool that moves fast and raises too many false alarms doesn’t save time. Engineers spend time on false alarms, on-call is noisier, and teams distrust […]

Introducing Adaptive Intelligence: undermining the economics of every bot attack

Chris Pope — Mon, 31 Aug 2026 12:59:00 +0000

Bot operators have historically had the economic advantage, bypassing static, deterministic detection rules with cheap proxies and retooling. Cloudflare's new Adaptive Intelligence engine flips this dynamic by autonomously learning from the meta-signals of live traffic and deploying disposable rules, making automated attacks too expensive to sustain.

MAPS: Netflix’s Multimodal Asset Personalization at Scale

Netflix Technology Blog — Fri, 28 Aug 2026 16:01:02 +0000

By Emma Yanyang Kong, Aditya Deshpande, Asad Abbasi, Bowei Yan, David Fagnan, Ashish Rastogi, Dhaval Patel, Ray ZhangIntroductionThe Netflix experience is a journey of discovery. Every visual cue, from the artwork on a title to the video previews that ...

Grab Bench: Evaluating AI on Grab-shaped production work

Grab Tech — Wed, 12 Aug 2026 00:00:00 +0000

Introduction What worried us wasn’t the hallucination, it was the subtle plausibility. Answers an engineer could easily read past and accept: a right-looking Structured Query Language (SQL) query, a plausible tool call, an innocent profile update, or ...

Crowdsourced taxonomy verification: A feedback-driven framework for refining knowledge graph relationships via online search interactions

Grab Tech — Thu, 30 Jul 2026 00:00:00 +0000

Introduction The efficacy of semantic search relies on the accuracy of the underlying Knowledge Graph (KG). In high-velocity domains like on-demand food delivery or e-commerce, the catalog of entities like dishes, products, and merchants changes rapid...

Agent platform (Part 1): How we help Grab build and run AI agents at scale

Grab Tech — Fri, 24 Jul 2026 00:00:10 +0000

Part 1: From one support bot to a framework At Grab, AI agents have evolved from interesting team prototypes into production services used every day by millions of merchants, drivers, and consumers. Today, more than 500 services run on our internal ag...

Automating cross-repo documentation with GitHub Agentic Workflows

David Pine — Wed, 08 Jul 2026 21:11:56 +0000

Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation.

The post Automating cross-repo documentation with GitHub Agentic Workflows appeared first on The GitHub Blog.

GenPage: Towards End-to-End Generative Homepage Construction at Netflix

Netflix Technology Blog — Mon, 29 Jun 2026 13:01:02 +0000

Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a Netflix homepage one row or entity at a time, each one conditioned on what’s already on the page and the user’s context.IntroductionThe...

Predicting Risk in Content Launches: How Data-Driven Insights can Transform Launch Planning

Netflix Technology Blog — Fri, 19 Jun 2026 23:53:47 +0000

by Emily GillEach year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share analytical deliverables across Netflix, discuss analytic practice, and build relationships within the commu...

Thinking Fast & Slow for a Personalized Notification System

Netflix Technology Blog — Fri, 19 Jun 2026 23:53:16 +0000

by Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire DormanIn his seminal book “Thinking, Fast and Slow,” Daniel Kahneman describes two systems that drive human cognition: System 1, which operates automatically and quickly with little...

AI Used to Decrypt Medieval Ciphers

Bruce Schneier — Wed, 03 Jun 2026 11:04:40 +0000

Researchers are using machine learning algorithms to decrypt historical pencil-and-paper ciphers.

Can AI support creativity? What educators can learn from creative machine learning

Manni Cheung — Thu, 28 May 2026 11:20:29 +0000

Can AI support creativity? The technology is often framed as threatening creative work either by automating it or by encouraging imitation. But Professor Rebecca Fiebrink’s work in creative machine learning suggests a more useful way to think about this relationship. In our March research seminar, she showed how machine learning can help people work with…

The post Can AI support creativity? What educators can learn from creative machine learning appeared first on Raspberry Pi Foundation.