This week in AI & Machine Learning: Plainsight invites you to a live event, MIT looks past datasets, Americans offer their thoughts on AI, and more.
Author’s Note
Hi, I’ll be taking over as the author for these weekly posts. I look forward to sharing updates and insights with all of you.
Don’t forget — our team is hosting a live event on Wednesday, March 23 @ 1:00PM PDT/4:00PM EDT. We’ll show off some of the ways computer vision AI is helping restaurants derive customer insights to better manage surging demand.
Plainsight News
Computer Vision’s Limitless Future: Plainsight’s CPO Guests on DisrupTV
Plainsight’s Co-Founder and Chief Product Officer, Elizabeth Spears, appeared on last week’s episode of DisrupTV. Joining guests Christopher Lochhead and Jonathan Becher, Spears discusses the ways computer vision is already empowering industry leaders to address persistent challenges and Plainsight’s efforts to make AI more accessible.
Artificial Intelligence News
What Do People Think of AI?
A new report from the Pew Research Center provides insights into how Americans view advancements in AI. The findings suggest that uncertainty still characterizes a sizable chunk of the population’s thoughts on emerging technologies. Respondents expressed particular skepticism toward AI applications for self-driving cars and cognitive implants. Check out this detailed summary.
A Roundup of Updates from Meta
Multi-modal AI models are essential for Meta’s ongoing efforts to establish the metaverse. For example, a model that can not only recognize a sound but also locate its source. Meta researchers recently shared several updates on developments in its exploration of multimodals. Learn more about Omnivore, FLAVA, and other new Meta AI models.
PRIME and Offline Optimization
Engineers at Google have developed PRIME, a new approach for architecting hardware accelerators. Making use of existing data, the approach successfully architects accelerators without the need for additional simulations. They have shown PRIME to outperform a range of simulation-based approaches. Read the full report from Google.
Is Synthetic Data the Future of ML?
Typically, training an AI model to classify images requires amassing huge stores of visual data. A new training method developed by MIT researchers suggests that AI professionals may not have to rely on datasets forever. Generative models are capable of creating synthetic data for themselves and other models. Take a look at this overview of the research.
One More Reminder: Register for This Week’s Live Event
Here’s one more gentle reminder to save your seat for our event this Wednesday.
About the Author & Plainsight
Bennett Glace is a B2B technology content writer and cinephile from Philadelphia. He helps Plainsight in its mission to make AI accessible to everyone.
Plainsight’s vision AI platform streamlines and optimizes the full computer vision lifecycle. From data annotation through deployment, customers can quickly create and successfully
