Darwinai

With artificial intelligence becoming more and more prominent in our everyday lives and work, how do we protect our vital systems that run on AI from nefarious actors? DarwinAI's VP of Research Dr. Javad Shafiee along with Chief Scientist Dr. Alexander Wong and others, have published a new paper about how fine-tuning can help in the creation of AI models that contain built-in defences against external adversarial attacks. The blog summarizing the key points is worth a rea...d! https://hubs.li/H0HtyPr0 See more

An informative blog post by our Head of Product, Saibal Chakraburtty, about the top reasons why Manufacturing is slow to implement AI, as well as DarwinAI's best practices to implement AI at a scale. Stay tuned for our series of content we’re producing to share insights about AI in the Manufacturing space! Read Saibal's post here ... https://hubs.li/H0Hp5r_0 See more

Trust and transparency are fundamental aspects that are required for businesses to adopt AI with confidence. Tune in to hear our CEO Sheldon Fernandez and our Chief Scientist Dr. Alexander Wong share their insights about AI through the lens of research and real-world applications, alongside host Ben Lorica, on The Data Exchange Podcast. Listen to the podcast here:... https://hubs.li/H0Hg6D80 See more

Last week we shared big news about our work with the Aspire Food Group and NGen Canada, and we've seen some great media coverage about this exciting advanced manufacturing project that we're part of, to harvest crickets as a sustainable protein source! "They might not have the most appetizing appearance, but looks can be deceiving: crickets are renowned for their subtle nutty flavor, crunchy texture, and exquisite astringency." Read The Next Web's coverage below:... https://hubs.li/H0H310v0 See more

We're thrilled to be one of the Canadian companies joining the Consulate General of Canada in San Francisco for the 2021 AutoTech Mission to Silicon Valley next month! Our team will bring our expertise in Explainable AI, to defect detection systems for automotive. https://hubs.li/H0GThSW0

A succinct an informative walk-through of our platform by Research Scientist Audrey Chung the power and versatility of GenSynth described in 4 minutes. Worth a watch #darwinai #gensynth

Today we’re excited to announce an important theoretical development in deep learning around ‘attention condensers’. Mcuh liek you can udersntad this snetnece evne thuogh its phoentcially flwaed, attention condensers are unique, stand-alone architectures that allow a deep learning model to better focus on ‘what’s important’, facilitating more effective and trustworthy decisions. In a broad sense, this breakthrough is related to Moravec's paradox, an observation by AI research...ers that high-level reasoning in humans requires little computation whereas low-level sensorimotor skills require a lot. By using human-like shortcuts, we’ve demonstrated that attention condensers can dramatically accelerate AI and reduce its complexity. Our paper describing this important advancement is below: https://tinyurl.com/y46zafm5 #darwinai

Illuminating presentation from our Chief Scientist on the benefits of a cooperative approach to AI development. The creativity of the human mind combined with the calculative power of machines can yield magical results #darwinai #mlops #tmls

Since its release, COVID-Net has been leveraged by researchers in Italy, Canada, Spain, Malaysia, the U.S and India, and a number of groups have extended our initial effort in impressive ways. Yet beyond standard inquiries of how individuals could contribute to the project and leverage it responsibly, one question surfaced more than the others: how did we build such a high-performing and purpose-specific network so quickly? Here’s how we did it... https://tinyurl.com/y9unus53 #darwinai #xai #covid-19

Today, we’re extremely excited to announce an important collaboration with Lockheed Martin. Building trustworthy AI requires illuminating the black box in a powerful and practical manner. For years, our academic team has been working on Explainable AI (XAI); collaborating with a leader at the forefront of aerospace innovation in such an important domain is indeed a privilege and a responsibility. ... Looking forward to the journey ahead https://lnkd.in/epTiHzJ #darwinai #lockheedmartin #xai

The response to COVID-Net continues to move and inspire us. Below are the latest updates on the project (more data, CT scans, risk stratification). Please contact us if you’d like to get involved. ... #darwinai #xai #covid-19

The response to our release of COVID-Net has been overwhelming. Below are the latest updates on the project (larger dataset, new models, model for risk stratification). Please contact us if you’d like to get involved. ... #darwinai #xai #covid-19

Nice piece in MIT Technology Review describing our COVID-net initiative. Several research teams have announced AI tools that can diagnose Covid-19 from x-rays in the last few weeks. But none have been made fully available to the public, making it hard to assess their accuracy. DarwinAI is taking a different approach.... Our CEO will be speaking at EmTech digital today about the importance of explainability in realizing this work (https://darwinai.news/xaixai) #darwinai #xai #covid19

Like many in the AI community, we’ve been grappling with how to best deploy our skills in service of the present crisis. To this end, we’re announcing the availability of COVID-Net: a convolutional neural network for COVID-19 detection via chest radiography. We’re open sourcing this model in hopes of developing a robust tool to assist health care professionals in combating the pandemic. Details at https://darwinai.news/COVIDnet ... #darwinai #covid19

Today we take a moment to recognize the exceptional women at DarwinAI without whom our company would not be the same: Kelly Pritchard, Tanya Lang, Shelley Wang, Audrey Chung, Kate Land, and Linda Wang. Thank you ladies for making our organization the place it is. #IWD2020 #EachforEqual #DarwinAI

Wonderful event at the University of Waterloo this week: AI, Ethics and Healthcare: the Need for Diverse Perspectives. Salutations to our all-female panel for their thoughtful insights and to Sheldon Fernandez for his expert moderating. And thanks to the folks at Waterloo Engineering for facilitating such a great event space and turnout to match. We look forward to future events on-campus. #darwinai #UW #UWEngineering #AiandHealthcare

An honor to be included in CBInsights A-100 list showcasing the hundred most promising private AI companies in the world. "Through an evidence-based approach, the CB Insights research team selected the AI 100 from nearly 5,000 companies based on several factors including patent activity, investor quality, news sentiment analysis, proprietary Mosaic scores, market potential, partnerships, competitive landscape, team strength, and tech novelty." Look forward to living up our pl...ace as AI leaders as we continue to Build Trust in AI through our Explainability technology. Press release at: https://tinyurl.com/vmf65ey #DarwinAI #CBInsights #A100

An apropos share on the same day we were included on #CBInsights’s A-100 list. Explainable AI (XAI) is at the heart of our industry. What few realize is that the methods promoted by start-ups and tech giants are often based on narrow and limited academic techniques. A radically new approach is needed. Darwin invented it and empirically demonstrated its superiority at NeurIPS 2019. This two part medium piece articulates the prose behind the poetry. ... #DarwinXAI #DarwinAI

Fun time at ‘Hack the globe’ yesterday, a fun event put on by the University of Toronto, where participants from varied academic background - engineering, business, to public policy, arts & life sciences come together and have four weeks to ideate and formulate a solution. Proud to sponsor this important event and to have attended yesterday’s kick-off event! #darwinai

Join us in two weeks for a most fascinating panel discussion at University of Waterloo "Artificial Intelligence, Ethics and Healthcare: The Need for Diverse Perspectives" Registration link below.... "The explosive progress of Artificial Intelligence and deep learning systems have given rise to numerous applications in the health care space. Cancer diagnosis, drug discovery and biometric tracking are but some of the areas being tackled through second wave AI. Such applications, however, are fraught with challenging questions around patient privacy, data bias, and ethical decision-making: to what extent are engineers responsible for the behaviour of the life-and-death applications they design? This timely panel, sponsored by Engineering Alumni Affairs and DarwinAI, will explore the importance of diverse perspectives in addressing such challenges." #darwinai #AIandHealthCare #UWEng

Explainable deep learning has numerous of benefits, including giving researchers the tools to detect fake news Proud to be connected to this important initiative. #darwinai #fakenews

Nice piece on the many benefits of calling Ontario home (Bianca Andreescu and the Toronto Raptors notwithstanding) I went to the University of Waterloo, as did most of the team. When it comes to AI talent, Waterloo and Ontario in general are quite exceptional. #darwinai #InvestInOntario #Canada

Reflection and extrapolation: our CEO on AI in 2019, 2020 and beyond "While AI can do many things extremely well, understanding the richness of the universe which comes from authentically engaging "the world as the world" the way children do is still far beyond its capabilities. In other words, AI systems lack true contextual understanding or "meta-knowledge" an awareness of the world and themselves within it. For example, while a self-driving car can orient itse...lf on the road, it is completely ignorant of the concept of transportation itself: why humans do it, the efficiencies (or inefficacies) it brings to our lives, the implications to our planet and non-human species, etc." #darwinai #xai #generalai

Our chief scientist weighs in on the important topic of data bias in AI and Healthcare for PC Magazine In a few areas, such as radiology and medical imaging analysis, AI algorithms have surpassed human performance. But deep-learning algorithms suffer from a fundamental problem: They often adopt unwanted biases found within the data on which they're trained. If the data is limited to a certain group of people, it will perform less accurately for other demographics. "Datasets... collected in North America are purely reflective and lead to lower performance in different parts of Africa and Asia, and vice versa, as certain genetic conditions are more common in certain groups than others," says Alexander Wong, co-founder and chief scientist at DarwinAI. #darwinai #databias #aihealthcare

Happy birthday to us! It’s been three years since we filed the paperwork to incorporate DarwinAI. A moment’s pause to sample some birthday cake, document nostalgic moments, and reflect on what’s been an incredible journey thus far. Now, in the words of Josiah Bartlet of West Wing lore: break’s over.... #darwinai #birthday

nice coverage in EP&T highlighting our explainability scholarship. Our logo may be slightly newer, but our commitment to AI and Trust remains as firm ever. https://lnkd.in/edEvyJd... #darwinai #xai #explainability