NEWS: @GroqInc customer @entanglement_ai commercializes #cybersecurity capability, validated by @USArmy as 1000x faster than any system on the market. See this technology in action TODAY at 3pm in our booth (3047) during @Supercomputing
. http://
groq.link/eisequre #SC22 #AI #HPC
INNOVATION
-
Groq Customer Demonstrates 1000x Faster Cybersecurity AI Technology
By
–
-
Brain-inspired computational models enhancing machine learning algorithms
By
–
Brain-inspired = how computational models of brains can inspire "better" machine learning algorithms. See here for more context: https://
youtu.be/IlliqYiRhMU -
Ramin Hasani on Liquid Neural Nets and Sequence Modeling
By
–
Hi there! It’s Ramin Hasani @raminmh
! Over the next 24H, I’m taking over @MIT_CSAIL
’s Twitter! I’m a research affiliate at CSAIL. I design brain-inspired robust deep learning algorithms! Ask me anything about sequence modeling, time series, robots, & liquid neural nets, here -
Computational Physics Research with Cerebras CS-2 System
By
–
At #SC22? Join Dr. Dirk Van Essendelft today at #SC22 as he describes the tremendous Computational Physics research he’s done using the Cerebras CS-2 system. #HPC #Physics #SC22
-
DoD Digital Services Support AI Development at AIinGov
By
–
Don’t miss ‘How DoD Digital Services Support AI Development’ by Digital Service Experts at @DefenseDigital
, @DeptofDefense: Lance Cleghorn, Nick Ashworth, & David Saeger, at #AIinGov on Nov. 17 @ 11:30 AM ET!
Register & attend for free: https://
cognilytica.com/CLNjc0ODJ8NQ?u
tm_source=dlvr.it&utm_medium=twitter
…
#AI #DDS #DoD -
TensorFlow and Keras Deep Learning Tutorial Without PhD Required
By
–
TensorFlow, Keras, and deep learning, without a Ph.D. What you'll learn: • What is a neural network
• How to build one
• Learning rate schedules
• How to build convolutional neural networks
• How to use regularization
• What is overfitting https://
codelabs.developers.google.com/codelabs/cloud
-tensorflow-mnist/#0
… -
IBM Research Shares Insights on AI Models
By
–
For more on #AI models from @IBMResearch
, visit their blog here: https://
ibm.co/3EcgVZs -
Using AI-Generated Images to Enhance Machine Translation Models
By
–
Training models on “hallucinated images”, like @OpenAI’s Dall-E, to improve machine translation pic.twitter.com/TM9hvBvixr
— IBM Data, AI & Automation (@IBMData) 16 novembre 2022Training models on “hallucinated images”, like @OpenAI
’s Dall-E, to improve machine translation -
Probabilistic Generative Modeling Enhances Machine Design Efficiency
By
–
Designing machines using probabilistic generative modeling to bring more efficiency into the design process pic.twitter.com/h8BHvqfOHB
— IBM Data, AI & Automation (@IBMData) 16 novembre 2022Designing machines using probabilistic generative modeling to bring more efficiency into the design process
-
AI Models Learn Emergent Languages Through Images
By
–
Using images to teach #AI models emergent languages, making it easier to learn non-Indo-European languages 🗣️ pic.twitter.com/aaunITPKsl
— IBM Data, AI & Automation (@IBMData) 16 novembre 2022Using images to teach #AI models emergent languages, making it easier to learn non-Indo-European languages