How can publicly available data sources help us better understand the world we live in?
How can publicly available data sources help us better understand the world we live in?
We asked VP of Operations Vishal Sandesara what trends he is seeing in 2023 ⬇️ #AI #MachineLearning https://t.co/rIb6FGPHVK
Read More »The best way to get to know us is through our collaborative projects – both past and present – all of which reside in GitHub and are accessible to everyone. Check them out here:
Read More »What does an AI system have in common with "Clever Hans," the horse mathematician and worldwide sensation circa 1904? AI tools sometimes fool us of their capabilities through misleading performances. Learn more on the blog: ...
Read More »Join our team! We're #hiring a Systems Engineer to drive forward our focus on the application of emerging, #opensource technologies to national security mission challenges. https://t.co/QSnilFCYlc
Read More »We're hiring a Machine Learning Engineer! Apply to join a team of builders applying emerging, open-source technologies to #NationalSecurity mission challenges: #opensource #engineering https://t.co/WCQEeUOB8R
Read More »What if an #AI sought to explain itself to a human audience? SVP Andrea Brennen tells the story of ELIZA, the paperclip maximizer, which was recently published in @CircusBazaar:
Read More »It's difficult to know how Large Language Models will perform in a specific context, or to anticipate undesirable biases in model output. Read more to learn about what happened during our AI audit report that focuses on a pretrained LLM cal...
Read More »You can build your own version of something we created at IQT Labs with our GitHub Repos 💻 Check it out on our website and let us know how it goes!
Read More »When it comes to software, one thing we know is that #AI and #MachineLearning can create new vulnerabilities. On this episode of The IQT Podcast, 3 of our colleagues explored AI Assurance and our #FakeFinder audit. #ICYMI ...
Read More »Want to get even deeper into our work? Here are a few deep dives into how we break down problems into smaller pieces, pair applied research with the open-source platform, and highlight novel means to tackle some of the toughest problems.
Explores whether generative models can increase the utility of synthetic data for rare object detection.
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