Blogs – Machine Learning

AMP BLAB: The AMPLab Blog

ChatGPT

Making cities safer: data collection for Vision Zero 2017-04-26
A critical part of enabling cities to implement their Vision Zero policies – the goal of the current National Transportation … Continue reading →
Shankari
Data Hackathons Workshop: Early Career Funding Available 2016-09-01
The West Big Data Innovation Hub (WBDIH) is excited to host a Data Hackathons: Lessons Learned and Best Practices Workshop … Continue reading →
Meredith Lee
CACM Article on Randomized Linear Algebra 2016-06-02
Each month the Communications of the ACM publishes an invited “Review Article” paper chosen from across the field of Computer … Continue reading →
Michael Mahoney
Scientific Matrix Factorizations In Spark at Scale 2016-06-02
The canonical example of matrix decompositions, the Principal Components Analysis (PCA), is ubiquitous, with applications in many scientific fields including neuroscience, … Continue reading →
Alex Gittens
Technical Preview of Apache Spark 2.0: Easier, Faster, and Smarter 2016-05-19
This is a guest blog post originally published on the Databricks blog. For the past few months, we have … Continue reading →
Reynold Xin
AMPLab postdoc Julian Shun wins the ACM Doctoral Dissertation Award 2016-05-11
I am very pleased to announce that Julian Shun has been awarded the ACM’s doctoral dissertation award for his 2015 … Continue reading →
Michael Mahoney
Unexpected continuous location tracking/energy change in android? 2016-04-15
So this is really weird, but I have found what seems to be unexpected continuous location tracking that is causing … Continue reading →
Shankari
Strata Keynote: “What’s Next for the Berkeley Data Analytics Stack” 2016-04-01
The Strata+Hadoop World big data industry conference was held in San Jose this week and as usual, AMPLab and Berkeley were … Continue reading →
Michael Franklin
40-Year Goodbye: A Last Lecture and Symposium 2016-03-29
Hoping to start a new tradition, I’m giving a Last Lecture on Friday May 6, 2016 at 4PM, which is … Continue reading →
Patterson
What’s new in KeystoneML 2016-03-29
At the AMPLab, we are constantly looking for ways to improve the performance and user experience of large scale advanced … Continue reading →
sparks

Rakuten fixes issues twice as fast with Codex 2026-03-11
Rakuten uses Codex, the coding agent from OpenAI, to ship software faster and safer, reducing MTTR 50%, automating CI/CD reviews, and delivering full-stack builds in weeks.
Designing AI agents to resist prompt injection 2026-03-11
How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.
From model to agent: Equipping the Responses API with a computer environment 2026-03-11
How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.
Wayfair boosts catalog accuracy and support speed with OpenAI 2026-03-11
Wayfair uses OpenAI models to improve ecommerce support and product catalog accuracy, automating ticket triage and enhancing millions of product attributes at scale.
Improving instruction hierarchy in frontier LLMs 2026-03-10
IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks.
New ways to learn math and science in ChatGPT 2026-03-10
ChatGPT introduces interactive visual explanations for math and science, helping students explore formulas, variables, and concepts in real time.
OpenAI to acquire Promptfoo 2026-03-09
OpenAI is acquiring Promptfoo, an AI security platform that helps enterprises identify and remediate vulnerabilities in AI systems during development.
Codex Security: now in research preview 2026-03-06
Codex Security is an AI application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise.
How Descript enables multilingual video dubbing at scale 2026-03-06
Descript uses OpenAI models to scale multilingual video dubbing, optimizing translations for both meaning and timing so dubbed speech sounds natural across languages.
How Balyasny Asset Management built an AI research engine for investing 2026-03-06
See how Balyasny built an AI research system with GPT-5.4, rigorous model evaluation, and agent workflows to transform investment analysis at scale.
Introducing GPT-5.4 2026-03-05
Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.
Reasoning models struggle to control their chains of thought, and that’s good 2026-03-05
OpenAI introduces CoT-Control and finds reasoning models struggle to control their chains of thought, reinforcing monitorability as an AI safety safeguard.
GPT-5.4 Thinking System Card 2026-03-05
Ensuring AI use in education leads to opportunity 2026-03-05
OpenAI shares new tools, certifications, and measurement resources to help schools and universities close AI capability gaps and expand opportunity.
Introducing ChatGPT for Excel and new financial data integrations 2026-03-05
OpenAI introduces ChatGPT for Excel and new financial app integrations, powered by GPT-5.4 to accelerate modeling, research, and analysis in regulated environments.
The five AI value models driving business reinvention 2026-03-05
Five AI value models show how leaders can sequence AI from workforce fluency to process reinvention and build durable business advantage.
Introducing the Adoption news channel 2026-03-05
Practical insights and frameworks to turn AI progress into business advantage
Extending single-minus amplitudes to gravitons 2026-03-04
A new preprint extends single-minus amplitudes to gravitons, with GPT-5.2 Pro helping derive and verify nonzero graviton tree amplitudes in quantum gravity.
How Axios uses AI to help deliver high-impact local journalism 2026-03-04
Axios COO Allison Murphy explains how the company uses AI to support local reporters, streamline newsroom workflows, and deliver high-impact local journalism at scale.
Understanding AI and learning outcomes 2026-03-04
OpenAI introduces the Learning Outcomes Measurement Suite to assess AI’s impact on student learning across diverse educational environments over time.

Heurist.org

Menu

Search our Website

Blogs – Machine Learning

Blogs - Machine Learning

AMPLab – UC Berkeley

OpenAI News