WHY IT MATTERS: Digital Transformation

So, What’s a Transformer Model?
A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence.
Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other.
First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. They’re driving a wave of advances in machine learning some have dubbed transformer AI.
Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. The “sheer scale and scope of foundation models over the last few years have stretched our imagination of what is possible,” they wrote.

The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI. The report aims to be the world’s most credible and authoritative source for data and insights about AI.

A detailed study of machine intelligence in industrial and manufacturing operations reveals the surprisingly different paths companies can take. But a group of leaders shares similar characteristics.

The People + AI Guidebook is a set of methods, best practices and examples for designing with AI. Our recommendations are based on data and insights from over a hundred Googlers, industry experts, and academic research.

Age-gating, subtitles, chapters, and recommendations - find out how YouTube's use of AI shapes users' experience and creator's success. In this article, we’ll be taking a closer look at how exactly YouTube harnesses AI, and how this influences the user experience of both viewers and content creators. 

The field of data science is continuously growing, subsequently, there are a ton of career roles available for one to choose from within the data science domain. This blog lists down some of the most emerging career options in data science one can opt for.

From releasing a book to publishing scientific papers, 2021 was quite a busy year for Numenta. If you haven’t had a chance to catch up on what we’ve been up to, I’ve rounded up our top content of the past year.

This weekend, we want to introduce you to Will Douglas Heaven. Will is our senior editor for AI. He has a PhD in computer science from Imperial College London and was founding editor at the BBC tech-meets-geopolitics website Future Now and chief technology editor at New Scientist magazine.

Neuroscientist and tech entrepreneur Jeff Hawkins claims he’s figured out how intelligence works—and he wants every AI lab in the world to know about it. 

Artificial intelligence today plays a massive role in strengthening and transforming industries around the world. In this article, we’ll go over all of the newest artificial intelligence statistics to help you determine if AI is right for your business’s future.

Data cleaning is a massive part of data pre-processing and model building for machine learning algorithms so it's something you can never miss.

Sometimes the centre of gravity in tech is very clear, but as we enter 2022 there are lots of areas where trillion dollar questions are wide open. These are the questions I wonder about today, from crypto to cars to fast fashion - there are others.

The automation, and control of the resulting data, raises questions about the role of human farmers.

OpenAI is committed to the safe deployment of AI. Since the launch of our API, we’ve made deploying applications faster and more streamlined while adding new safety features. Our progress with safeguards makes it possible to remove the waitlist for GPT-3. Starting today, developers in supported countries can sign

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser. Our prototype copies how humans research answers to questions online – it submits search queries, follows links, and scrolls up and down web pages. It is trained to cite its sources, which makes it easier to give feedback to improve factual accuracy. We’re excited about developing more truthful AI,1 but challenges remain, such as coping with unfamiliar types of questions.

A majority of companies now adopt AI, and leaders are using more sophisticated tools and practices.

12 technology trends that will help shape the future of digital business.

AI Québec is a tech-enabled coffee-table book featuring the champions of Québec, the well-established and the disruptors alike. Its 300+ pages feature stories by the companies who are shaping the Québec of today and tomorrow and include exclusive Thought Leader pieces by the province’s most recognizable advocates. With AR video canvases on most features, images on the book’s pages come to life when scanned with the free Global Village Publishing app.

Technology has emerged as the primary disruptor and value creator across all sectors.

A collection of interaction patterns that provide solutions for common AI challenges.

Dans ce profil, vous trouverez :

1. Une revue historique de la position du Québec en matière d’intelligence artificielle;
2. Une définition de la main-d’œuvre du secteur;
3. Un portrait global de l’emploi ;
4. Une taxonomie des métiers de l’intelligence numérique – que nous définissons comme étant la main-d’œuvre spécialisée en intelligence artificielle ainsi que les métiers périphériques essentiels reliés ;
5. Des fiches métiers traitant de l’estimation du bassin de talents et incluant de multiples informations spécifiques salaires, tâches principales, référentiel de compétences techniques et transversales);
6. Une répartition industrielle des métiers de l’intelligence numérique
7. Un portrait de la demande de compétences et de la formation, incluant les forces et défis concernant ce profil  de talents qui change à une vitesse déstabilisante.
8. L’ensemble de nos données sur l’utilisation des outils numériques, sous la forme de matrices Emploi/Outils numériques et technologies, en annexe du document.

Cerebras unveiled the world’s first multi-million core AI cluster architecture! Our unique technology handles neural networks with up to an astonishing 120 trillion parameters. That’s approximately the number of synapses in the human brain! Today, to run models at only a fraction of that size, clusters of graphics processors consume acres of space, megawatts of power, and require dedicated teams to operate. We can fix that.

To unlock the potential of extreme-scale models, we realized a new approach is needed. One that addresses the challenge of scaling massive memory, compute, and communication all at once. Such a solution must be able to support the largest models of today, and scale to empower the models of tomorrow.

A systematic approach to identifying and prioritizing AI risks can help organizations effectively target mitigation efforts.

Demystifying and providing a big picture view of Artificial Intelligence. Also discuss how AI encompasses and includes machine learning, deep learning, NLP, speech recognition, image recognition etc.

The human brain is pretty tricky: While we think we know things, there’s a whole list of cognitive biases that can be gumming up the works.