Qiskit 0.40 is here!
🖥️ OpenQASM 3 importer
📈 Faster and better transpilation
🛸 Improved synthesis algorithms
🐍 Deprecated support for Py37
Let’s take a look at some key highlights... 1/7
Blessed to visit Shri Makakaleshwar Temple in Ujjain today.
The Shri Mahakal Lok Corridor is truly a remarkable achievement that will be appreciated by all devotees.
Completed the first part of Designing data intensive applications @intensivedata by @martinkl@OReillyMedia. Amazing book. Dived into concepts like never before. Thanks for the book!
@qiskit announced the Qiskit Quantum Explorers Program, a self-paced Gamified Quantum Learning Journey.
#Qiskit#QuantumComputing
https://t.co/08KMM4lQ4y
@qiskit announced the Qiskit Quantum Explorers Program, a self-paced Gamified Quantum Learning Journey.
#Qiskit#QuantumComputing
https://t.co/08KMM4lQ4y
5 GANs papers you should read:
1. (Original GNN paper) The graph neural network model
2. GraphWorld: Fake Graphs Bring Real Insights for GNNs @GoogleAI
3. Semi-supervised Classification with Graph Convolutional Networks
More⬇️
Too many studies that apply machine learning to science & medicine employ incorrect methodologies.
Many make very basic mistakes, such as not having separate training & test sets, using the test set (not a separate validation set) for feature selection, hyperparameter tuning, etc
Introducing our work @GoogleAI CALM: Confident Adaptive Language Modeling 🧘
Large Language Models don't need their full size for every generated token. We develop an Early Exit framework to significantly #accelerate decoding from #Transformers!
🔗: https://t.co/KOlXTKKoqd
🧵1/
@MSFTResearch announces AI4Science, a global team of machine learning, quantum physics, computational chemistry, molecular biology, fluid dynamics, and software engineering experts to tackle Societal Challenges
https://t.co/QkxXemALIf
#ArtificialIntelligence#MachineLearning#AI
"MIT researchers developed a geometric #DeepLearning model called EquiBind that is 1,200 times faster than one of the fastest existing computational molecular docking models"💊🦾
Find out more👇🏻
#ArtificialIntellige#AI
◻️https://t.co/lnjRSxbwfO
[NEW RELEASE] Practical Machine Learning for Computer Vision -- Learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras, w/ experts @lak_gcp @martin_gorner & Ryan Gillard https://t.co/KbntnSsGUO #OReillyExperts#NewBook
It's here: the ✨ #DALLE Prompt Book ✨, first edition! Free to download, it features 82 pages of artistic inspiration with over 300 examples of #DALLE2 images!
Here's what's inside... 🧵