Away From Silicon Valley, the Military Is the Ideal Customer

While much has been made of tech’s unwillingness to work with the Pentagon, start-ups are still plumbing the industry’s decades-long ties to the military.

… Though parts of Silicon Valley have kept the Pentagon at arm’s length in recent years, Palmer Luckey’s company, based 400 miles to the south in Irvine, is aggressively courting business from government agencies and the military.

It is one of a number of young tech companies, many of them far from Silicon Valley, that are shrugging off the concerns about the potential militarization of their creations that in recent years have stirred employee revolts at industry giants like Google and Microsoft. Read More

#dod, #robotics

Graph Neural Network and Some of GNN Applications – Everything You Need to Know

The recent success of neural networks has boosted research on pattern recognition and data mining.

Machine learning tasks, like object detection, machine translation, and speech recognition, have been given new life with end-to-end deep learning paradigms like CNN, RNN, or autoencoders.

Deep Learning is good at capturing hidden patterns of Euclidean data (images, text, videos).

But what about applications where data is generated from non-Euclidean domains, represented as graphs with complex relationships and interdependencies between objects?

That’s where Graph Neural Networks (GNN) come in, which we’ll explore in this article. We’ll start with graph theories and basic definitions, move on to GNN forms and principles, and finish with some applications of GNN. Read More

#graph-neural-network, #neural-networks

Datasets for Machine Learning and Deep Learning

— Some of the Best Places to Explore — A curated list of dataset repositories for deep learning projects and good places to look for additional benchmark datasets for your model, so I am putting it out here, hoping you find it useful! Read More

#data-science

Computer Science courses with video lectures

Intent of this list is to act as Online bookmarks/lookup table for freely available online video courses. Focus would be to keep the list concise so that it is easy to browse. It would be easier to skim through 15 page list, find the course and start learning than having to read 60 pages of text. If you are student or from non-CS background, please try few courses to decide for yourself as to which course suits your learning curve best. Read More

#videos

Pre-trained Language Model (PLM) papers

Pre-trained Languge Model (PLM) is a very popular topic in NLP. In this repo, we list some representative work on PLM and show their relationship with a diagram. Feel free to distribute or use it! Here you can get the source PPT file of the diagram if you want to use it in your presentation. Read More

PLMfamily.jpg
#nlp

Top Artificial Intelligence Influencers To Follow

This is a live list of top trending artificial intelligence experts/influencers from around the world. This list is last updated on March 8, 2021. This post will be updated regularly to reflect any new updates in the list. If we missed any name in the list, you can nominate a profile via email asif@marktechpost.com.

Here is our list updated as on March 8, 2021. Read More

#strategy

Nothing Breaks Like A.I. Heart

An essay about artificial intelligence, emotional intelligence, and finding an ending

A GPT-3 assisted story, created using either the base 175B parameter model or a version fine-tuned on “instruction following,” including the author’s reflection on the experience. Read More

#nlp

AI adoption accelerated during the pandemic but many say it’s moving too fast: KPMG survey

Outlook for AI Optimistic Under the Biden Administration; More Want AI Regulation

The COVID-19 pandemic has accelerated the pace of artificial intelligence (AI) adoption, but many say it’s moving too fast, according to a new KPMG survey. Despite concerns about the speed of adoption, business leaders are confident AI can help solve some of today’s toughest challenges, including COVID-19 tracking and vaccines.

In the new study, Thriving in an AI World, high numbers of business leaders from the following industries say AI is at least moderately functional in their organizations, including those in:  industrial manufacturing (93 percent), financial services (84 percent), tech (83 percent), retail (81 percent); life sciences (77 percent), healthcare (67 percent) and government (61 percent).  In addition, several industries saw a significant increase from last year’s report: financial services (37-percentage point increase), retail sector (29-percentage point increase) and tech sector (20-percentage point increase). Read More

#strategy

How to poison the data that Big Tech uses to surveil you

Every day, your life leaves a trail of digital breadcrumbs that tech giants use to track you. You send an email, order some food, stream a show. They get back valuable packets of data to build up their understanding of your preferences. That data is fed into machine-learning algorithms to target you with ads and recommendations. Google cashes your data in for over $120 billion a year of ad revenue.

Increasingly, we can no longer opt out of this arrangement. In 2019 Kashmir Hill, then a reporter for Gizmodo, famously tried to cut five major tech giants out of her life. She spent six weeks being miserable, struggling to perform basic digital functions. The tech giants, meanwhile, didn’t even feel an itch.

In a new paper, researchers at Northwestern University are suggesting new ways to redress this power imbalance by treating our collective data as a bargaining chip. Tech giants may have fancy algorithms at their disposal, but they are meaningless without enough of the right data to train on. Read More

#surveillance

China Revs Up Grand Chip Ambitions to Counter U.S. Blacklistings

In just two decades, China sent people into space, built its own aircraft carrier and developed a stealth fighter jet. Now the world’s youngest superpower is setting out to prove its capabilities once more — this time in semiconductors.

At stake is nothing less than the future of the world’s No. 2 economy. Beijing’s blueprint for chip supremacy is enshrined in a five-year economic vision to be unveiled during a summit of top leaders in the capital this week. It’s a multi-layered strategy both pragmatic and ambitious in scope, embracing aspirations to replace pivotal U.S. suppliers and fend off Washington, while molding homegrown champions in emergent technologies. Read More

#china, #nvidia