Press & Publications
Research & Media Coverage
Whitepapers
01
Operational Efficiency with an Offline, Small Language Model
02
Differential Training™: A Neuroscience-Driven Method for Efficient LLM Training
03
Differential AI Metric Suite for Efficiency Evaluation
04
Encoding and Efficiency in LLMs using Geometric Inference™
Patents Pending
System and method for optimizing training efficiency using neuroscience-inspired techniques.
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PENDING
System and methods for improving computational efficiency in machine learning via the application of geometric inference frameworks.
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PENDING
Press Articles
01
Optimizing the Mind: Brown Researchers Develop Neural Model to Understand Working Memory
02
Research Hit: Why Our Brain Can Only Remember a Few Things at Once
03
The Brain’s Working Memory Has Limits, and These Scientists Say They Know Why
04
How the Human Brain Optimizes Working Memory: New Study
05
Brown University Researchers Show How Humans Learn to Optimize Working Memory
06
New Research Shows Why Limits on Working Memory Exist
07
Working Memory Which Allows Multitasking Could Have Limits: Study
08
Working Memory Which Allows Multitasking Could Have Limits: Study
09
Working Memory Which Allows Multitasking Could Have Limits: Study
10
Working Memory: Why the Brain Can Only Hold So Much
11
Working Memory Which Allows Multitasking Could Have Limits: Study
12
Brown Medicine — Working Memory Research Post
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Professor Michael Frank PhD and PhD Candidate — Working Memory Research
14
Working Memory Research — Brown University Post