Top Tweets for #TsetlinMachine
BitSet sparse index speed boost of up to 2× for training and inference on sparse data.
#TsetlinMachine #TM #ML #MachineLearning
https://t.co/frKJawLyIb
Just hit 69%+ test accuracy on CIFAR-10 using a tiny Fuzzy-Pattern #TsetlinMachine: only 20 clauses per class with convolutional filters!
AURORA introduces an automated, CMOS compatible 8T SRAM architecture that performs wired-OR logic operations in-memory. Demonstrated using the #TsetlinMachine as a case study, the design achieves >100× higher throughput and >770× lower energy compared to existing methods.
The full program for Rome's International Symposium on the #TsetlinMachine (ISTM) is now out with no fewer than 3 Literal Labs staff in attendance

The #TsetlinMachine reached complex neural networks like Inception-v3, hitting 94.47% test accuracy (peaking at 94.63%) on #FashionMNIST! #MachineLearning
Achieved 94.02% peak test accuracy on #FashionMNIST using #TsetlinMachine with convolutional preprocessing! #MachineLearning #AI

🚀 Building Tactyl – The New Open-Core Detection Engine
🔧 Powered by symbolic logic. Built for defenders
I’m building Tactyl, a high-speed detection engine in Go that uses symbolic logic instead of black-box models.
#CyberSecurity #TsetlinMachine #BlueTeam #SOC #ExplainableAI
Just turbocharged Tsetlin.jl:
🚀 2.5× faster training
📉 Up to 20% smaller models
🧠 New MNIST inference record: 208M predictions/sec
⚡ 19 GB/s throughput on a Ryzen 7950X3D
All in pure Julia. #ML #JuliaLang #AI #TsetlinMachine
https://t.co/frKJawLyIb

Just achieved 616 million #MNIST predictions per second on 240 threads using #TsetlinMachine — huge thanks to Joel from @NumascaleAS!
I believe this might be a world record. Can anyone beat this result?

The Nash equilibrium was reached after 6,743 epochs of training the #TsetlinMachine on the #IMDB dataset. Accuracy stabilized at 90.34%, and none of the included literals changed further. Additionally, the training speed per epoch was fast.

Sentiment analysis on the #IMDB dataset achieved a test accuracy of 91.57% using the #TsetlinMachine.

A Game-Changer for AI: The Tsetlin Machine’s Role in Reducing Energy Consumption
Dive more here: https://t.co/FfZ8kwQkf0
#AITechnology #TsetlinMachine #EnergyEfficientAI #SustainableTech #MachineLearning #AIInnovation #GreenAI #EnergyConsumption #TechBreakthrough
A Game-Changer for AI: The Tsetlin Machine’s Role in Reducing Energy Consumption
Dive more here: https://t.co/sNZn4eXVgF
#AITechnology #TsetlinMachine #EnergyEfficientAI #SustainableTech #MachineLearning #AIInnovation #GreenAI #EnergyConsumption #TechBreakthrough
Congratulations @OmarGGhazal for getting 'IMPACT : In-Memory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference' accepted in the RS Phil. Trans. Our first-ever Y-flash based 180-nm #TsetlinMachine design.
Preprint: https://t.co/fCQxKA7pqu
A Game-Changer for #AI: The #Tsetlin Machine’s Role in Reducing #Energy Consumption ⚡
https://t.co/oqa7gHGVd8
#AIInnovation #TsetlinMachine #EnergyEfficiency #SustainableTech #MachineLearning #AIResearch #CleanTech #DataScience #SmartEnergy #TechForGood

Exciting news! The Tsetlin Machine is revolutionizing AI by reducing energy consumption, making it more sustainable for the environment. 🌱♻️ Let's embrace technology that serves humanity and the planet! #TsetlinMachine #AIinnovation
https://t.co/16y5rGxBuZ
Why are we passionate about #TsetlinMachine #AI? Reduced energy use (amongst other things). @UniteAi takes a deep dive into TMs and sustainable AI https://t.co/kuqZvjUZMZ
We've released a new #TsetlinMachine benchmark for anomaly detection🔶52X less energy used 🔶54X faster inferencing 🔶 #edgeAI optimised. Read it here https://t.co/ReCKsg7z6A
Unlocking #Sustainable #AI: The Game-Changing #TsetlinMachine Approach
#artificialintelligence #generativeai #data #cybersecurity #digitaltransformation #MWC24 #techspo #BHUSA #TechExEurope #AIBigDataExpo
https://t.co/dl3xqFAgFT

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