Data Phoenix Digest - ISSUE 41 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 ...

Dmitry Spodarets
Digest

Advancing Hearing Comprehension 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.

Dmitry Spodarets
News

AI Asserting on Different Topics at Oxford Union Debate 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

Dmitry Spodarets
News

Benefits from Pathogenic Fungi in the Root Mycobiome 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

Dmitry Spodarets
News

Data Phoenix Digest - ISSUE 40 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 ...

Dmitry Spodarets
Digest

Sparse Data Foreseeing Laboratory Quakes 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

Dmitry Spodarets
News

Overview of the TOP Algorithms for Machine Learning. Part 1 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

Dmitry Spodarets
Articles

Use of AI-generated Characters for Different Fields 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

Dmitry Spodarets
News