We’re excited to announce we’ve closed a $30M Series B to lead the future of eliminating AI risk 🚀 🚀 🚀 Read more about how we plan to do this in our recent interview with for :
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Eliminate machine learning failures with an end-to-end ML Integrity solution
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We’ll be receiving this award at the upcoming Rakuten Technology Conference - we hope you’ll join us!
global.rakuten.com/corp/news/upda
#rtechconf
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We’re honored to be recognized by with an award for technology excellence.
Thank you Rakuten! It’s a privilege to be selected by a company with such high technology standards and bold vision.
#MLIntegrity #AI #MachineLearing #DataScience #Awards #Rakuten
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Curious to learn how executives at leading companies instill integrity in their ML systems?
Hear about the strategies and engineering paradigms used to eliminate model failure at Equinix, JPMorgan, Splunk, Survey Monkey, Wells Fargo and more!
Register for ML:Integrity on Oct 19
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Join industry leaders at the ML:Integrity conference!
It's a free, virtual conference with speakers from @awscloud, @huggingface, @DeepMind, @Reddit, @PayPal and more!
Register for free here: mlintegrityconference.com
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Join the first event dedicated to advancing ML integrity.
ML:Integrity is a free, virtual conference about:
1. ML Failure Prevention
2. Open Source ML
3. Compliance & Regulation
4. ML Quality Control & ML Security
5. Bias in ML
Register for free here: mlintegrityconference.com
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As part of #CybersecurityAwarenessMonth, we're happy to host a security panel on ML best practices as part of our ML:Integrity conference.
Join industry experts , , , Ram Shankar Siva Kumar, and Yassir Nawaz on October 19.
mlintegrityconference.com
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Adversarial attacks vary in sophistication from simple and manual to algorithmic and complex. That's why it's important for security and data science teams to include AI in their attack surface and learn how to prevent bad actors from causing harm.
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With AI adoption comes AI risk. One of the symptoms of AI risk is failure due to attack. AI systems aren't just vulnerable because of the software, data or model supply chain during development, they are also vulnerable post-deployment.
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Attending the in Silicon Valley next week? So are we!
is speaking on the 'Keeping it Ethical in AI' panel.
We'll be at booth 34. Stop by to say hi, and ask us how we help companies eliminate model failure through ML integrity.
#aiandbigdataexpo
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Robust Intelligence is honored to be selected as "MLOps Company of the Year" by in their fifth annual awards program. 🏆
Read the joint press release here 👇
prweb.com/releases/robus
#ai #machinelearning #mlops
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This year’s ML:Integrity conference will be held virtually on Wednesday, October 19. The agenda is slated to include over a dozen talks on ML fairness, security, scale, regulation, and more.
Check out our blog post and register today!
robustintelligence.com/blog-posts/int
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The pursuit of integrity in ML is shared by the data science community. As such, we’re excited to announce ML:Integrity, an annual conference that will serve as a forum for industry leaders to share their perspectives and best practices, as well as advocate for standards.
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It’s no secret today’s machine learning models fail frequently, which can have dire consequences when used to make critical decisions. This is why companies are actively building strategies and engineering paradigms to instill ML integrity in their systems.
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Introducing the ML Model Attribution Challenge, a technical competition designed to spur creative approaches to identifying the true origin of fine-tuned LLMs.
The competition kicks off at on August 12. We hope you join!
robustintelligence.com/blog-posts/ml-
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We’re hosting a fireside chat this Friday (July 22) at 9am PDT in which will talk with Blaine about insights from his research and how it applies today. Please join us! Register here: us06web.zoom.us/webinar/regist
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We'd like to celebrate our colleague Blaine Nelson, as well as co-authors and Pavel Laskov, on receiving the 's prestigious Test of Time award yesterday! Their paper "Poisoning Attacks Against Support Vector Machines" has indeed had lasting impact!
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Thanks to all who attended 's talk on eliminating AI risk at the #DataAISummit on Tuesday. Yaron spoke about the benefits of a testing-driven approach and shared several customer examples. If you missed it live, watch the replay: databricks.com/dataaisummit/s
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Want to know the best practices to eliminate AI risk in your company? Join 's talk tomorrow morning at the Databricks #DataAISummit. This hybrid session will be delivered live from Moscone South and streamed free online. Hope to see you there! databricks.com/dataaisummit/s
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Attending the #DataAISummit next week? Don’t miss 's talk on eliminating AI failure. For those in SF, we invite you to request a private meeting with Yaron and our eng leadership. Use this link 👉 cal.mixmax.com/yaronsinger/da
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Calling all ML practitioners and security researchers! Register for the 4th annual ML Security Evasion Competition, a collaboration between , & . The event opens July 25. Read more: robustintelligence.com/blog-post/ml-s
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Have you considered red teaming your #AI systems? Earlier this week, Robust Intelligence Distinguished Engineer explored the pros and cons of this very topic with fellow panelists from & . RSA Conference passholders can watch the discussion on-demand.
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Our CEO, , will be giving a talk at Annual Summit tomorrow (06/09): “Eliminating AI Risk, One Model Failure at a Time”. If you’re in attendance, stop by Grand West to see it live and follow-up with Yaron at booth 16!
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Join us tomorrow (06/07) for a virtual workshop on “Using RIME to Eliminate AI Failures” as part of the Annual Summit. We're excited to walk you through our product and demonstrate how to instill integrity into your model pipeline.
#mlopsworld #AI
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We were selected to exhibit at the DoD Digital and AI Symposium! For those working with #AI to advance national security, drop by our virtual booth June 7-8. We look forward to sharing how we safeguard #ML models to eliminate AI failures. #DODCDAO #DIGAI2022
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❗️Today in AI Risk❗️
The U.S. Federal Trade Commission recently reached a settlement with WW International, the company formerly known as ‘Weight Watchers,’ in a case surrounding use of illicit data in AI systems.
linkedin.com/feed/update/ur
#AIRisk #WeightWatchers #FTC
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Thrilled to be included in a16z + Future's Data50 -- the World's Top 50 Data Startups List 🚀🚀🚀
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We're excited to announce that has been awarded a $950,000,000 ceiling IDIQ Contract to Eliminate AI Risk for the US Air Force.
robustintelligence.com/blog/robust-in
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Read up on RIME's Custom Tests feature!
"As a part of our regular product development, we constantly add new tests based on customer feedback, recent publications, and internal research."
#robustintelligence #airisk
robustintelligence.com/blog/custom-te
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China will outlaw algorithmic discrimination as part of what may be the world’s most ambitious effort to regulate artificial intelligence.
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Is it possible to prevent #AI models from making mistakes? professor and CEO of Intelligence Yaron Singer shows us how to tackle this problem in this episode of the podcast.
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#datascience #podcast #intelligence #ML
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How can we build AI systems that are more robust, safer, and savvier at tackling faulty data? In our latest TDS Podcast episode, host @jeremiecharris chatted about these (and other) topics with @robusthq CEO @yaronsinger. buff.ly/3rD8b9n
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The man who’s restoring common logic to artificial intelligence.
After uncovering the inconvenient truth about AI, Yaron Zinger decided to walk away from a promising career at Harvard and set up start-up with a mission to reduce the risks of AI
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Check out 's conversation with the Practical AI team on Eliminating AI Failures below 👇👇👇
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New episode of Practical AI!
Eliminate AI failures
with @yaronsinger from @robusthq
hosts @chrisbenson @dwhitena
#ai #machinelearning #datascience
practicalai.fm/1633
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Robust Intelligence raises $30 #Million Series B
to #StressTest #AI models
buff.ly/3EGq2As #fintech #VC #ArtificialIntelligence #MachineLearning #DeepLearning
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The Israeli Harvard professor who raised $30 million from and to eliminate risks of AI.
Professor Yaron Singer’s company develops an AI Firewall that monitors and prevents data that leads to errors and risks.
calcalistech.com/ctech/articles
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