Data Phoenix Digest - ISSUE 41 Paid Members Public
Overview of the TOP algorithms for ML, distributed training, capacity recommendation engine, time series anomaly detection with PyFBAD, linear algebra with transformers, a ConvNet for the 2020s, JoJoGAN, Plenoxels, videos, courses, jobs, and more ...
Advancing Hearing Comprehension Paid Members Public
In a research published in the academic journal “Nature Communications”, Josh McDermott explained how he employed computational modeling to analyze factors that affect how humans can hear pitch. This kind of model closely simulates that of humans — but only when it is trained using music, voices, or other naturalistic sounds.
AI Asserting on Different Topics at Oxford Union Debate Paid Members Public
The experiment was created to start a discussion about the ethics of the AI technology. The AI said that the only way to stop such thing becoming too authoritative is not to have AI at all. The Megatron LLB Transformer was created by the Applied Deep Research team at a
Benefits from Pathogenic Fungi in the Root Mycobiome Paid Members Public
Perplexing microbial communities inhabit plants and inflect their development. Exclusively, roots host an expanded diversity of micro-organisms along with bacteria and fungi that straightforward affect plant health. It is a publication in Nature Communications, where Fantin Mesny and co-authors contribute novel insights into how these fungi conquer roots, why a
Data Phoenix Digest - ISSUE 40 Paid Members Public
Data Phoenix invites everyone to Slack chat, the birth of Albumentations, neural network from scratch, Self-Supervised Learning from 100 million medical images, a general language assistant as a laboratory for alignment, NL-Augmenter, projects, jobs, and more ...
Sparse Data Foreseeing Laboratory Quakes Paid Members Public
A special machine-learning concept created for sparse data reliably predicts fault slip in laboratory earthquakes. This can be essential for predicting fault slip and potentially earthquakes in the industry. The recent study by a Los Alamos National Laboratory team has evolved on their previous success using data-driven approaches that worked
Overview of the TOP Algorithms for Machine Learning. Part 1 Paid Members Public
In the first part of the article, we’ll talk about Machine Learning tasks (Supervised, Unsupervised, and Reinforcement Learning) and such algorithms as Linear Regression, K-Nearest Neighbors (kNN), Convolutional Neural Network (CNN). All algorithms are accompanied with examples of code that you play with on your own. Before we start
Use of AI-generated Characters for Different Fields Paid Members Public
To boost the potential of the technology, the researchers at MIT Media Lab and their colleagues at the University of California at Santa Barbara and Osaka University have built an open-source, convenient character generation pipeline that integrates AI models for facial gestures, voice, and motion. It can be used to
