In the News
Seven ways artificial intelligence could evolve
Here are seven possible future AI scenarios, ordered from those that may have an impact in the nearer term to those that will require many years before potentially becoming reality: Augmented intelligence: complementing human strengths Augmented intelligence is the idea of taking human intelligence...
Sponsor
A complete, intelligent ERP system with embedded AI and machine learning.
With Intelligent ERP from SAP, your entire business has complete visibility to work as one. From sales to HR, from finance to procurement. So, you can all share one vision, one plan, and one purpose. Because together works.
In The News
The 2021 machine learning, AI, and data landscape
Startups that were early to the trend (and played a pivotal role in defining the concept) are now reaching scale, including DBT Labs, a provider of transformation tools for analytics engineers (see our Fireside Chat with Tristan Handy, CEO of DBT Labs and Jeremiah Lowin, CEO of Prefect), and...
The Future of Artificial Intelligence
Federal agencies aim to advance their use of artificial intelligence and accompanying emerging technologies, like machine learning, in the coming years. While there are some examples of nascent uses of AI across government already, agencies are aware they must set goals and prioritize policies that...
Artificial Intelligence, and the Future of Work – Should We Be Worried?
What happened around only 10 years ago, was it was discovered that neural networks could run on computer graphics cards (GPUs - graphics programming units) … as these cards were specifically designed to process large amounts of information in parallel - exactly what is needed for artificial neural...
Applied use cases
IBM says AI can help track carbon pollution across vast supply chains
Companies are under increasing pressure to quantify and reduce their footprints. Finding sources of pollution across vast supply chains may be one of the largest barriers to eliminating carbon pollution. For some sources of pollution, like electricity or transportation, it's relatively easy.
Limits to Growth: Can AI’s Voracious Appetite for Data Be Tamed?
For instance, in a paper published earlier this year researchers Vinay Prabhu, chief scientist at the biometrics company UnifyID, and Abeba Birhane, a doctoral candidate in cognitive and computer science at University College Dublin, examined two other large image dataset — Tiny Images, which...
State of AI Report tracks transformers in critical infrastructure
Artificial intelligence and machine learning pioneers are rapidly expanding on techniques that were originally designed for natural language processing and translation to other domains, including critical infrastructure and the genetic language of life. One of their 2020 predictions was that we...
Discover The Essentials State of AI Report Q2
After thoroughly analyzing industry trends and our engagement data, we’ve gathered valuable insights on the topic of Artificial Intelligence. Stay tuned for the best articles from leading industry experts as we bring you our first-ever State of AI Report for Q2 from our sister newsletter, AI Essentials.
Ethics
AI projects to tackle racial inequality in UK healthcare, says Javid
New projects include drawing up fresh standards for health data inclusivity amid fears that the datasets at the moment fail to adequately represent people from ethnic minority backgrounds. Javid said: “As the first health and social care secretary from an ethnic minority background, I care deeply...
Facebook’s policing of vitriol is even more lackluster outside the US, critics say
There are videos of child abuse, texts of hate speech against different ethnic groups, and hours-long live streams inciting hatred. Now, Taye is calling for Facebook to release any human rights impact assessment reports it may hold on Ethiopia. Like many digital activists around the world, Taye and...
Responsible-AI-Widgets
Responsible-AI-Widgets provides a collection of model and data exploration and assessment user interfaces that enable a better understanding of AI systems. Introducing Responsible AI Toolbox The Responsible AI Toolbox is an open-source framework for helping data scientists and machine learning...
Robotics
How to Build a More Sustainable Robot
In general, making a more sustainable robot starts with ethically sourced recycled or sustainable materials, functioning as energy efficiently as possible. Research fellows Iwona Gajda, left, and Xavier Alexis Walters prepare an experimental setup that generates electricity from bacteria breaking...
Video Friday: ANYmals and Animals
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. Here are some of the things that teams came up with: Collecting samples from Mars and bringing them back to Earth will be a historic undertaking that started with the launch of...
The Robot Block Party is BACK – Saturday October 23 2021!
Acknowledgement of Land Robot Demos (upstairs, downstairs & outside – all day) Play with Spot the robot dog MechLabs Robot Building Workshop Intro See full exhibitor list below Robot Races (upstairs, downstairs & outside weather permitting) 10am-2pm Indoor DIY Robocar Track Day 2pm-4pm Outdoor...
Research
Reflections on Foundation Models
These models, which are based on standard ideas in transfer learning and recent advances in deep learning and computer systems applied at a very large scale, demonstrate surprising emergent capabilities and substantially improve performance on a wide range of downstream tasks. “Perception,...
The Saga of Highleyman's Data.
In 1959 at Bell Labs, Bill Highleyman and Louis Kamenstky designed a scanner to evaluate character recognition techniques. Using the same train-test split as Bledsoe, Chow obtained an error rate of 41.7% using a convolutional neural network. Thirty years later, with 125 times as much training data,...
SaLinA: SaLinA - A Flexible and Simple Library for Learning Sequential Agents (including Reinforcement Learning)
SaLinA: SaLinA - A Flexible and Simple Library for Learning Sequential Agents (including Reinforcement Learning) It allows to write very complex sequential models (or policies) in few lines It works on multiple CPUs and GPUs Quick Start Just clone the repo Documentation Principles of the library...
Sponsor
A complete, intelligent ERP system with embedded AI and machine learning.
With Intelligent ERP from SAP, your entire business has complete visibility to work as one. From sales to HR, from finance to procurement. So, you can all share one vision, one plan, and one purpose. Because together works.