Table of Contents Graphs Reza Rezazadegan www.dreamintelligent.com A graph consists of a set of vertices (or nodes) and a
• The Berkeley Crossword Solver - Berkeley AI Research • Artificial Intelligence is a growing threat to authenticity in art - Bulletin • Artificial Intelligence in Manufacturing: Industrial AI Use Cases - IoT For All • Apple is Using Artificial Intelligence and Music to Win the Music App Arms Race - The Debrief • Google I/O 2022: Advancing knowledge and computing - Google AI • Unlimited Data, Unlimited Possibilities: UF Health and NVIDIA Build World’s Largest Clinical Language Generator - NVIDIA AI • Welcome ‘In the NVIDIA Studio’: A Weekly Celebration of Extraordinary Artists, Their Inspiring Art and Innovative Techniques - NVIDIA AI • GAN lawyers: An online scam operation posing as a Boston law firm - Tech Talks • 12 examples of artificial intelligence in everyday life - ITProPortal
• Understanding Conditional Variance and Conditional Covariance - Towards Data Science • 19 Hidden Sklearn Features You Were Supposed to Learn The Hard Way - Towards Data Science • AI Application Development Guide for Business Owners - Becoming Human • Introducing Mephisto: A new platform for more open, collaborative data collection - Meta AI • How to Determine the Best Fitting Data Distribution Using Python - KDnuggets • Amazon Comprehend Custom Classification - Towards Data Science • 3 types of data architecture components you should know about; applications, warehouses and lakes - Towards Data Science • How to Select Loss Function and Activation Function for Classification Problems - Towards Data Science
• Studying the brain to build AI that processes language as people do - Meta AI • Introducing CommerceMM: A new approach to multimodal understanding for online shopping - Meta AI • Designing a strong test for measuring true common-sense reasoning - Nature Machine Intelligence • Designing Societally Beneficial Reinforcement Learning Systems - Berkeley AI Research • Significantly faster Vision Transformer training - Meta AI • A new method for asynchronous federated learning - Meta AI • Meta’s Yann LeCun on his vision for human-level AI - Tech Talks
Go with the flow state: What music and AI have in common How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry? A new state of the art for unsupervised vision How AI and imagery build a self-updating map DALL-E 2, the future of AI research, and OpenAI’s business model MIT’s FutureMakers programs help kids get their minds around — and hands on — AI How Artificial Intelligence Can Transform Data Integration
Improving forecasting by learning quantile functions Answering Questions with HuggingFace Pipelines and Streamlit Inside Meta's AI optimization platform for engineers across the company Summarization with GPT-3 The 8 Basic Statistics Concepts for Data Science How AWS uses graph neural networks to meet customer needs Modeling urban heat wave risk with satellite imagery and lidar data Guide to Iteratively Tuning GNNs Discovering the systematic errors made by machine learning models
The graph connection Anticipating others’ behavior on the road Generating new molecules with graph grammar Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 2: Contrastive Learning Reusability report: Capturing properties of biological objects and their relationships using graph neural networks Half a decade of graph convolutional networks The transformational role of GPU computing and deep learning in drug discovery Solving the challenges of robotic pizza-making
Advancing first-person perception with 2022 Ego4D challenge What is the Role of Artificial Intelligence in the Education Sector? - Analytics Insight What's Next in Artificial Intelligence? Three Key Directions - Stanford HAI ‘No-Code’ Brings the Power of A.I. to the Masses - The New York Times Study examines how machine learning boosts manufacturing Unlocking new doors to artificial intelligence Sustainability applications for artificial intelligence - Sustainability Magazine 3 Questions: How the MIT mini cheetah learns to run How artificial intelligence can help combat systemic racism
What is MLOps? The Input-output Attention Mechanism from “Neural Machine Translation by Jointly Learning… Top AI and Data Science Tools and Techniques for 2022 and Beyond Geo-visualization of daily movements of Bike-sharing system: Helsinki and Tartu Multi-Head Attention Understanding Sigmoid, Logistic, Softmax Functions, and Cross-Entropy Loss (Log Loss) How to Generate Synthetic Tabular Dataset
Advancing first-person perception with 2022 Ego4D challenge Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 1: Self-training Improving question-answering models that use data from tables Stable learning establishes some common ground between causal inference and machine learning Geometry-enhanced molecular representation learning for property prediction Design of potent antimalarials with generative chemistry Advances toward ubiquitous neural information retrieval Unsupervised Skill Discovery with Contrastive Intrinsic Control Pseudo labeling: Speech recognition using multilingual unlabeled data When it comes to AI, can we ditch the datasets? Bringing practical applications of quantum computing closer Advances in multimodal understanding research at Meta AI
Implementing Artificial Bee Colony Algorithm to Solve Business Problems Top Data Science Tools for 2022 How to Make Pandas Functions More Useful Customizing GPT-3 for Your Application Hyperparameters in Deep RL Understanding the Outputs of Multi-Layer Bi-Directional LSTMs Merging Multiple Datasets at Scale How to Create a Dataset for Machine Learning
Yann LeCun on a vision to make AI systems learn and reason like animals and humans Machine learning can help read the language of life Can CPUs leverage sparsity? Geometric deep learning on molecular representations Amazon at WSDM: The future of graph neural networks What’s next for deep learning? A deep generative model for molecule optimization via one fragment modification