Newsletter ~ Issue #119

Artificial Intelligence News


Editor’s Choice

Editor's Choice

AI spending, AI plays critical role in optimizing Customer Experience

Predictive analytics, facial/ image recognition, sentiment analysis, and AI-enabled self-service are top targets for companies highly successful with their customer service initiatives.

IBM is named a Leader in the Gartner 2021 Magic Quadrant for Data Science and Machine Learning Platforms

The latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms has just been released, and IBM is delighted to be recognized as a Leader in the space.

5 steps to creating a responsible AI Center of Excellence

Here’s how to establish an AI center of excellence in your organization. Any larger company should have one in place.

Latest News

Latest News

Nvidia and Harvard develop AI tool that speeds up genome analysis

Google has fired Margaret Mitchell, the founder and former co-lead of the company’s ethical AI team. Mitchell announced the news via a tweet.

Locus Robotics raises $150 million to scale its warehouse robotics platform

Researchers affiliated with Nvidia and Harvard today detailed AtacWorks, a machine learning toolkit designed to bring down the cost and time needed for rare and single-cell experiments. In a study published in the journal Nature…

Snapcommerce raises $85M for AI-powered ecommerce messaging

Snapcommerce, a company developing a mobile-first ecommerce platform, raised $85 million in venture capital.

Bill Gates-backed Oxford biotech totals $100M funding to discover new drugs using AI

Oxford-based Exscientia is a clinical-stage pharmatech that uses Artificial Intelligence (AI) to design and discover new drugs. The company just announced that BlackRock’s funds joined its Series C investment round…

Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

In this Data Science Salon talk, Kashif Rasul, Principal Research Scientist at Zalando, presents some modern probabilistic time series forecasting methods using deep learning. The Data Science Salon is a unique vertical focused conference which…

Top Artificial Intelligence Funding in February/ March 2021

A look at the top artificial intelligence funding companies raised in February/ March 2021 Artificial intelligence has become a game-changing technology for 21st-century businesses. It has made complex jobs easier and…



Annual index finds AI is ‘industrializing’ but needs better metrics and testing

The 2021 AI Index from Stanford University gathers data about AI research, startups, and changes to business and government policy.

10 ways AI and Machine Learning are improving Marketing in 2021

AI and Machine Learning are on track to generate between $1.4 Trillion to $2.6 Trillion in value by solving Marketing and Sales problems over the next three years, according to the McKinsey Global Institute. Chief Marketing…

Five ways to deploy AIOps in the real world

Infrastructure and network problems must be remedied at lightning speeds; ideally before the end user. The right tools need to be in place to manage incident responses. The accelerated digitisation of so many more parts of our economy and society…

Algorithmia’s latest tools aim to solve ML governance challenges

Algorithmia is today debuting new reporting tools which aim to solve machine learning (ML) governance challenges. Research conducted by the company found that the number one challenge organisations are facing with their deployments is governance.

Building AI for the Global South

Business and AI leaders from India, South America, and Africa have called for more artificial intelligence built for the Global South. Harm wrought by AI tends to fall most heavily on marginalized communities. In the…



5 Types of Machine Learning bias every Data Scientist should know

Machine learning bias is a term used to describe when an algorithm produces results that are not correct because of some inaccurate assumptions made during one of the machine learning process steps. To develop any machine learning process…

Machine Learning reveals Traits of high mental health Utilizers

The study, published in the Journal of Health Care for the Poor and Underserved, is the first of its kind to examine high utilizer trends in an academic safety net psychiatric hospital in a large, diverse region.

Achieving super-human performance in QWOP using Reinforcement Learning and Imitation Learning

QWOP is a simple running game where the player controls a ragdoll’s lower body joints with 4 buttons. The game is surprisingly difficult and shows the complexity of human locomotion. Using machine learning techniques…

MLflow vs. Neptune: How are they actually different?

Experiments are units of progress in machine learning. However, keeping them organized and updated can be a real pain for data scientists. Although spreadsheets and docs can be rather adaptable, it can quickly get chaotic, especially with teams.


Machine Learning for advanced batteries

NREL uses machine learning (ML) – the next frontier in innovative battery design – to characterize battery performance, lifetime, and safety. Alongside NREL’s extensive computer-aided engineering, ML can be used to accelerate the understanding of new materials, chemistries, and cell…

RPA and Cognitive Automation: Deciding the best automation technology

Businesses across the globe are going through rapid digital transformation and automation. Cutting-edge technologies like AI, robotics, and IoT are enabling this transformation by enhancing business efficiency and agility.

Neo4j & DGL — a seamless integration

In this article we will illustrate how to integrate a Graph Attention Network model using the Deep Graph Library into the Neo4j workflow and deploying the Neo4j Python driver.

The promise of AI for DevOps in 2021

DevOps is a natural target for AI-driven efficiencies, as it involves frequently repeated processes that generate mountains of data. It seems reasonable to expect that, like other domains that require decisions to be made based on large volumes…

Way beyond AlphaZero: Berkeley and Google work shows robotics may be the deepest machine learning of all

The vast majority of artificial intelligence has been developed in an idealized environment: a computer simulation that dodges the bumps of the real world. Be it DeepMind’s…



Google Scholar Search – Publications matching AAAI Conference on Artificial Intelligence

Fourth AAAI/ ACM Conference on Artificial Intelligence, Ethics, and Society. A virtual conference – May 19-21, 2021

Red Hat- E-BOOK Top considerations for building a production-ready AI/ ML environment

This e-book reviews key technologies and best practices for building a production-ready architecture for artificial intelligence (AI), machine learning (ML), and deep learning (DL) workloads…

Top 10 most popular and best deep learning framework 2021

Today I’ll be sharing with you some of the most popular and best deep learning frameworks and their unique features. So let’s get started.

Approaching (almost) any Machine Learning problem

Approaching (almost) any Machine Learning problem. There are a growing number of works out there addressing how to approach machine learning problems, many of them quite good. But how many of them are written by a 4x Kaggle Grandmaster?


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