Latest Posts

Post Image

Best deep learning tools


TensorBoard: TensorFlow's visualization toolkit
TensorBoard provides the visualization and tooling needed for machine learning experimentation:
  • Tracking and visualizing metrics such as loss and accuracy
  • Visualizing the model graph (ops and layers)
  • Viewing histograms of weights, biases, or other tensors as they change over time
  • Projecting embeddings to a lower dimensional space
  • Displaying images, text, and audio data
  • Profiling TensorFlow programs

Gluon
The Gluon API specification is an effort to improve speed, flexibility, and accessibility of deep learning technology for all developers, regardless of their deep learning framework of choice. 

The Gluon API offers a flexible interface that simplifies the process of prototyping, building, and training deep learning models without sacrificing training speed. 


IBM Watson Studio
IBM Watson Studio empowers organizations to tap into data assets and inject predictions into business processes and modern applications.

It's suited for hybrid multicloud environments that demand mission-critical performance, security and governance — in public clouds, in private clouds, on-premises and on the desktop, including IBM Cloud Pak for Data.

Ludwig is a toolbox that allows to train and test deep learning models without the need to write code.

A new data type-based approach to deep learning model design that makes the tool suited for many different applications.

Experienced users have deep control over model building and training, while newcomers will find it easy to use.

Spell
Spell is an intuitive, deep learning platform that manages your infrastructure and projects, making machine learning projects easier to start and faster to get results.

Use Jupyter Notebooks or Jupyter Labs powered by Spell's GPUs, and easily collaborate on a notebook within an organization.

Spell allows teams to experiment faster, increases collaboration and provides full project transparency.


Save to Library Read More
Post Image

Few-shot adversarial learning of realistic neural talking head models


Paper Abstract: Several recent works have shown how highly realistic human head images can be obtained by training convolutional neural networks to generate them. In order to create a personalized talking head model, these works require training on a large dataset of images of a single person. However, in many practical scenarios, such personalized talking head models need to be learned from a few image views of a person, potentially even a single image. Here, we present a system with such few-shot capability. It performs lengthy meta-learning on a large dataset of videos, and after that is able to frame few- and one-shot learning of neural talking head models of previously unseen people as adversarial training problems with high capacity generators and discriminators. Crucially, the system is able to initialize the parameters of both the generator and the discriminator in a person-specific way, so that training can be based on just a few images and done quickly, despite the need to tune tens of millions of parameters. We show that such an approach is able to learn highly realistic and personalized talking head models of new people and even portrait paintings.
Save to Library Read More
Post Image

Artificial intelligence | myth vs. reality



            
           
           
        
Save to Library Read More
Post Image

Artificial intelligence: what the tech can do today


Is the artificial intelligence we see in science fiction movies at all realistic? Many tech industry experts believe the idea of a superintelligent or sentient AI is greatly exaggerated and many years away. But there's AI already in the works to help solve real-world problems that can improve people's lives.
Save to Library Read More
Post Image

The first research book created using machine learning is now available


The academic publisher Springer Nature published the book, which is titled "Lithium-Ion Batteries: A Machine-Generated Summary of Current Research." The document summarizes peer-reviewed papers on lithium-ion batteries, with quotations, hyperlinks, and automatically generated references. Below is the introduction of the book and link to download. 

Introduction
This is the first machine-generated scientific book in chemistry published by Springer Nature. Serving as an innovative prototype defining the current status of the technology, it also provides an overview about the latest trends of lithium-ion batteries research.

This book explores future ways of informing researchers and professionals. State-of-the-art computer algorithms were applied to: select relevant sources from Springer Nature publications, arrange these in a topical order, and provide succinct summaries of these articles. The result is a cross-corpora auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections.

This book summarizes more than 150 research articles published from 2016 to 2018 and provides an informative and concise overview of recent research into anode and cathode materials as well as further aspects such as separators, polymer electrolytes, thermal behavior and modelling.

With this prototype, Springer Nature has begun an innovative journey to explore the field of machine-generated content and to find answers to the manifold questions on this fascinating topic. Therefore it was intentionally decided not to manually polish or copy-edit any of the texts so as to highlight the current status and remaining boundaries of machine-generated content.

Our goal is to initiate a broad discussion, together with the research community and domain experts, about the future opportunities, challenges and limitations of this technology.

Save to Library Read More
Sign up to keep updated

Sign up to get the Welcome.AI newsletter to keep updated on all the latest products. Like , Add and comment on products and be a part of the AI community.

Sign in with LinkedIn Sign up
Learn

Save to Library
Research

Save to Library
Business

Save to Library
Make sure your business and career keeps up with the changing world.
Sign up