HeyDonto launches DFT Labs to pursue physics-based machine learning capabilities
Artificial intelligence startup HeyDonto AI Technology today announced that it has established DFT Labs, a research subsidiary dedicated to pursuing a physics-based framework for machine learning. The launch of the new company follows the publication of the framework's peer-reviewed foundational paper "Data Field Theory: A Geometric Framework for Learning on Riemannian Manifolds with Synthetic Validation [... ] The post HeyDonto launches DFT Labs to pursue physics-based machine learning capabilities appeared first on SiliconANGLE.
Key Takeaways
- SiliconANGLE UPDATED 09:00 EDT / JULY 28 2026 AI HeyDonto launches DFT Labs to pursue physics-based machine learning capabilities by Kyt Dotson Artificial intelligence startup HeyDonto AI Technology today announced that it has established DFT Labs , a research subsidiary dedicated to pursuing a physics-based framework for machine learning.
- He described the end result as intelligence that emerges from relationships rather than from plotting data.
"We don't study 100 birds and figure out how birds do formation.
- However, when researchers used MNIST digits , small grayscale scans of handwritten numbers used for image recognition testing, accuracy fell.
After converting the digits into data points, DFT correctly classified 15.
- HeyDonto intends to show that DFT can measurably improve the AI models it is layered onto using real-world problems, demonstrating that this challenge can be overcome.
Putting DFT Labs' research to use The company has already put what it has learned from DFT Labs into production to underlie its current data curation and intelligence product, Axiomera.
- "Creating better, more accurate and faster algorithms for biomarker identification [can] help cancer patients get the right treatment faster," Quintara President Kristopher Fuhr told SiliconANGLE.
Stats & Key Facts
- #7% of them, only slightly above the 10% expected from random guessing and nearest-neighbor achieved 51.
SiliconANGLE UPDATED 09:00 EDT / JULY 28 2026 AI HeyDonto launches DFT Labs to pursue physics-based machine learning capabilities by Kyt Dotson Artificial intelligence startup HeyDonto AI Technology today announced that it has established DFT Labs , a research subsidiary dedicated to pursuing a physics-based framework for machine learning. The launch of the new company follows the publication of the framework's peer-reviewed foundational paper "Data Field Theory: A Geometric Framework for Learning on Riemannian Manifolds with Synthetic Validation and Limitation Analysis" in the academic journal Frontiers in Big Data , authored by Reza Nehzati, founder and chief scientific officer of DFT Labs. The company argues that intelligence can be formulated as a mathematical framework in which learning can be represented by a continuous field on a Riemannian manifold .
The paper and its underlying concepts borrow tools from physics that describe fields as curved geometric surfaces, commonly used to study magnets, superconductors and other systems. "We're focused on understanding the relationship between all data points, and we believe that's where a kind of intelligence forms," Chief Executive Rivers Morrell told SiliconANGLE in an interview. He described the end result as intelligence that emerges from relationships rather than from plotting data.
"We don't study 100 birds and figure out how birds do formation. We study the formation and the relationship between the birds. " The analogy describes the advantage DFT Labs wants to demonstrate; the question that follows is whether relationships can be pulled out of real-world data that prove useful for machine intelligence and learning.
For more details please read the original article at SiliconANGLE AI.
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