10-01-20 07:00 UTC
Developing the first AI Platform to Detect and Assess Disinformation

Developing the first AI Platform to Detect and Assess Disinformation

Today, I’m excited to announce that Primer has won a multi-million dollar Small Business Innovation Research (SBIR) contract from the U.S. Air Force (USAF) and U.S. Special Operations Command (USSOCOM) to develop and enhance the machine learning capabilities of our airmen and special operations forces.

8-18-20 17:00 UTC
Introducing Primer Labs

Introducing Primer Labs

Today, we're thrilled to announce the public launch of Primer Labs.

Labs is a free, public facing platform where we’ll showcase the evolving machine learning technology that powers Primer. We designed Labs to be accessible and intuitive, emphasizing interactive experiments that will appeal to everyone, whether you’re a seasoned data scientist, or just curious about artificial intelligence and want to experience it for the first time.

6-16-20 07:00 UTC
Solving Arabic Name Transliteration

Solving Arabic Name Transliteration

What do Qassem Soleimani, Mohammed Bin Salman, and Abdel Fattah el-Sisi have in common?

If you have been following news in the Middle East and North African region, you probably guessed correctly. These are the names of highly influential figures in Middle Eastern geopolitics over the last several years.

5-01-20 07:00 UTC
COVID-19 Research Briefing: Focus on Testing

COVID-19 Research Briefing: Focus on Testing

Swiss scientists have shown how randomly testing the population can allow for a reboot of the economy much quicker and more safely than waiting the 14-day period for symptoms to show.

4-27-20 07:00 UTC
Welcoming Sue Gordon and Brett McGurk to Primer

Welcoming Sue Gordon and Brett McGurk to Primer

Today I’m thrilled to announce the addition of Susan “Sue” M. Gordon as a strategic advisor to the Board and Brett McGurk as an independent Board Director. As two of the nation’s most distinguished national security and foreign policy experts, their remit will be to strategically guide the direction and expansion of Primer’s product offerings to the world's largest government agencies, financial institutions, and Fortune 50 companies.

4-21-20 07:00 UTC
COVID-19 Research Briefing 4.21

COVID-19 Research Briefing 4.21

There were 1646 new COVID-19 research papers and scientific articles published in the past 7 days bringing the total number of papers published to 6140.

4-20-20 07:00 UTC
To Fight Disinformation, We Need to Weaponise the Truth

To Fight Disinformation, We Need to Weaponise the Truth

Computational warfare and disinformation campaigns will, in 2020, become a more serious threat than physical war, and we will have to rethink the weapons we deploy to fight them.

4-14-20 07:00 UTC
COVID-19 Primer Weekly Briefing

COVID-19 Primer Weekly Briefing

There have been 960 new research papers and scientific articles published in the 7 days from April 6th to April 12th bringing the total number of papers to 3993 papers. The growth of research into COVID-19/ SARS-CoV-2 continues to increase exponentially with a doubling time of 14.5 days.

4-13-20 07:00 UTC
How Machine Learning Impacts National Security

How Machine Learning Impacts National Security

In early April, Primer's Senior Director for National Security, Brian Raymond sat down with Cipher Brief COO Brad Christian to discuss how machine learning is impacting national security. What follows is a lightly edited version of the State Secrets podcast.

4-08-20 07:00 UTC
Machine Readers Judging Machine Writers

Machine Readers Judging Machine Writers

Automatic text summarization is one of the most challenging and most valuable commercial applications of natural language processing. Saving the typical business or intelligence analyst even just half an hour per day of unnecessary reading is worth billions of dollars.

4-06-20 07:00 UTC
Science vs. COVID-19

Science vs. COVID-19

Science is one of humanity’s most important weapons in the fight against COVID-19. It is through science that we will understand how COVID-19 spreads through a population, how it interacts with the cells in our lungs, and how it jumped from animals to humans. It is also through science that we will create vaccines and treatments to stop this pandemic. Since the virus was first observed in China in December 2019, there have been over 2,500 articles written by over 8,000 authors in PubMed, arXiv, MedRxiv, and BioRxiv. In total, we estimate that this research represents hundreds of thousands of hours of work from some of the brightest minds in the world.

11-08-19 08:00 UTC
A New State of the Art for Named Entity Recognition

A New State of the Art for Named Entity Recognition

Primer's NER model has surpassed the previous state of the art models of Google and Facebook on F1 accuracy score. Graph adapted from Sebastian Ruder, DeepMind.

11-08-19 08:00 UTC
Finding Everything New in the Harry Potter Universe

Finding Everything New in the Harry Potter Universe

Applying machine learning at Primer to extract all the people, places, and things named in Harry Potter fan fiction books

5-16-19 07:00 UTC
Maverick, Goose begin romantic relationship

Maverick, Goose begin romantic relationship

Welcome to the age of machine-generated headlines.

3-21-19 07:00 UTC
How Emerging AI Technologies Can Help Us Think 'Smarter'

How Emerging AI Technologies Can Help Us Think 'Smarter'

NLP technologies are also eroding the tradeoff analysts historically have had to make between making timely judgments and judgments based on a comprehensive analysis of available intelligence. These technologies are enabling analysts to read-in each morning in a fraction of the time, and interact with all of the reports hitting their inboxes each day, not just those flagged as highest priority or from the most prominent press outlets. The effect of these algorithms goes beyond accelerating the speed and scale that individual analysts can operate, to also mitigating hitherto unavoidable analytic biases associated with source bias. This is lowering the cost analysts face for pursuing hunches, exploring new angles to vexing issues, and creating time for them to learn about new issues.

11-15-18 10:00 UTC
Primer Adds $40M to Expand Team, Language Capabilities and Enter New Verticals

Primer Adds $40M to Expand Team, Language Capabilities and Enter New Verticals

8-15-18 17:37 UTC
Building Software for Any Infrastructure

Building Software for Any Infrastructure

Enterprise software has typically been a challenge to get in the hands of customers, especially when it involves integration with their own infrastructure. By leveraging cloud native technologies, Primer has seen decreased implementation time and effort with its customers.

8-03-18 11:00 UTC
Machine-Generated Knowledge Bases

Machine-Generated Knowledge Bases

Human-generated knowledge bases like Wikipedia have excellent precision but poor recall. To help the humans, we created a self-updating knowledge base that can describe itself in natural language. We call it Quicksilver.

6-21-18 06:00 UTC
Primer Selected as a WEF 2018 Technology Pioneer

Primer Selected as a WEF 2018 Technology Pioneer

We’re thrilled to be recognized by the World Economic Forum today as a 2018 Technology Pioneer. Primer is one of the 61 companies selected from around the world building technologies that are having a significant impact on both business and society.

5-22-18 22:14 UTC
Russian Natural Language Processing

Russian Natural Language Processing

It has become standard practice in the Natural Language Processing (NLP) community. Release a well-optimized English corpus model, and then procedurally apply it to dozens (or even hundreds) of additional foreign languages. These secondary language models are usually trained in a fully unsupervised manner. They're published a few months after the initial English version on ArXiv, and it all makes a big splash in the tech press. But can English-trained models be naively extended to supplementary non-English languages, or is some native-level understanding of a language required prior to a model update?

1-16-18 19:00 UTC
Building seq-to-seq models in TensorFlow (and training them quickly)

Building seq-to-seq models in TensorFlow (and training them quickly)

Let's get our hands dirty and train a state-of-the-art deep learning model to summarize news articles. We'll introduce TensorFlow, discuss how to set up the training task, and present some tips for implementing a seq-to-seq model using RNNs. Once we have a working model, we'll dive into some insights for how to train the model much more quickly (decreasing time from three days to under half a day).

12-22-17 18:28 UTC
2017: The Year in Color

2017: The Year in Color

We analyzed the things journalists described with color in 33 million English-language news articles published in 2017. This was the year of black holes, white supremacists, and pink hats.

12-13-17 19:00 UTC
TLDR: Re-imagining automatic text summarization

TLDR: Re-imagining automatic text summarization

We love getting more information: from news, social media, and even blog posts. Given the bottleneck of reading long-form text, wouldn't it be amazing if we could immediately grasp their main ideas?

Algorithmically generating human-level summaries is a challenging task: it requires identifying entities, concepts, and relationships, and converting learned information into grammatical sentences. In this post, we'll look at how the latest deep learning methods, using recurrent neural networks and attention mechanisms, try to achieve these tasks to bring you smarter summaries.

11-20-17 20:40 UTC
Chinese Word Vectors

Chinese Word Vectors

At Primer we deploy natural language processing (NLP) pipelines that need to support many different languages, including English, Russian and Chinese. One powerful NLP approach is to apply machine learning techniques on raw text by representing words as vectors. In this post, we look at how to encode Chinese words as vectors. But are algorithms developed for English NLP effective on Chinese text? How can we take advantage of the unique linguistic features of the Chinese language?

10-25-17 00:14 UTC
Mapping the world's attention

Mapping the world's attention

What would a map of the world's attention look like? What if you compared Russian vs. English speakers? We chose the topic of terrorism to test out our first prototype of this visualization. We call it a diff map.

10-24-17 00:00 UTC
Primer: Reducing the Cost of Curiosity

Primer: Reducing the Cost of Curiosity

We are Primer, a machine intelligence company based in San Francisco.