Category: machine learning

Siyu Yang Presenting “Deep Learning for Computer Vision with Applications for Wildlife Conservation”

siyu-yangIntroducing Siyu Yang > @yangsiyu_ < presenting “Deep Learning for Computer Vision with Applications for Wildlife Conservation”.

Siyu is a data scientist at the AI for Earth program at Microsoft focusing on developing machine learning enabled solutions to aid environmental conservation efforts at university labs, startups, non-profits, and government agencies. Before joining this team, she worked on data powered code completion tools at Visual Studio.

At the AI for Earth program at Microsoft, we find new ways to use machine learning to solve global environmental challenges. This talk is an overview of several problems in wildlife conservation where computer vision is poised to make a significant impact. We will survey three different problems in this space: species classification from handheld photos, automated camera trap image processing, and animal detection from aerial imagery. For each area, we will discuss (1) why this problem is challenging from a computer vision perspective, (2) why solving this problem can support conservation, and (3) the data sets we’re working with and the models we’ve built to address this problem. The talk will also include a demo of the AI for Earth Species Classification API and the Camera Trap Animal Detection API.

What will attendees learn:

  1. Find out what Microsoft’s AI for Earth program is all about
  2. Understand how data, particularly visual data, is used by wildlife biologists for conservation.
  3. Experience through live demos how computer vision techniques can bring value to people working with such data, and understand our plan to deploy these technologies.

Come check out Siyu Yang’s talk at ML4ALL happening April 28th-30th in amazing Portland, Oregon! Get your tickets to attend here. For the schedule, our excellent sponsors docs for the conference, check out the ML4ALL Conference Site!

More on ML4ALL, Learning About “Using Your Data to Give Your Customers Superpowers”

This year’s ML4ALL is coming up real soon, more details over on the site, but here I’m providing some retrospective talks from last year to get you ready for this year’s ML4ALL!

In this talk Kirsten Westeinde (@kmkwesteinde) provides us insights into how your customers can gain superpowers through effective data use. Last year, I introduced Kirsten.

This year’s event is coming up, if you want to get deeper into, pr present on machine learning, learn ways to improve your use of, and eliminate biases like this then ML4ALL is going to be a great conference for you. Check it out, we have an open CFP, tickets are available (early bird still!)

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It’s Official, ML4ALL 2019, Machine Learning Conference 4 All v2!

It’s official, we’ve got dates and tickets are open for ML4ALL 2019! Our CFP will be open in a number of hours, not days, and I’ll do another update the second that we have that live.

What is ML4ALL?

ML4ALL stands for “Machine Learning for All“. Last year I enjoyed working with Alena Hall, Troy Howard, Glenn Block, Byron Gerlach, and Ben Acker on getting a great conference put together, and I’m looking forward to rounding up a team and doing a great job putting together another great conference for the community again this year!

Last year @lenadroid put together this great video of the event and some short interviews with speakers and attendees. It’s a solid watch, take a few minutes and check it out for a good idea of what the conference will be like.

Want to Attend? Help!

Tickets are on sale, but there’s a lot of other ways to get involved now. First, the super easy way to keep track of updates is to follow the Twitter account: @ml4all. The second way is a little bit more involved, but can be a much higher return on investment for you, by joining the ML4ALL Slack Group! There we discuss conference updates, talk about machine learning, introduce ourselves, and a range of other discussions.

If you work for a company in the machine learning domain, plying the wave of artificial intelligence and related business, you may want to get involved by sponsoring the conference. We’ve got a prospectus we can send you for the varying levels, just send an email to ml4allconf@gmail.com with the subject “Plz Prospectus”. We’ll send you the prospectus and we can start a conversation on which level works best for your company!

The TLDR;

ML4ALL is a conference that will cover from beginner to advanced machine learning presentations, conversations, and community discussions. It’s a top conference choice to put on your schedule for April 28-30th, pick up tickets for, and submit a proposal to the CFP!

 

ML4ALL LiveStream, Talks & More

If you’re attending, or if you’re at the office or at home, you can check out the talks as they go live on the ML4ALL Youtube Channel! Right now during the conference we also have the live feed on the channel, so if you’re feeling a little FOMO this might help a little. Enjoy!

Here are a few gems that are live already!

Manuel Muro “Barriers To Accelerating The Training Of Artificial Neural Networks”

-> Introduction of Manuel

Jon Oropeza “ML Spends A Year In Burgundy”

-> Introduction of Jon

Igor Dziuba “Teach Machine To Teach: Personal Tutor For Language Learners”

-> Introduction to Igor

Barriers To Accelerating The Training Of Artificial Neural Networks – A Systemic Perspective – Meet Manuel Muro

manuel-muroThe real breakthrough for the modern Artificial Intelligence (AI) and Machine Learning (ML) technology explosions started back in 1943 when researchers McCulloch & Pitts came up with a mathematical model to represent that function of the biological neuron; nature’s gift that allows all life to operate and learn over time. Eventually this research would then give birth to the Artificial Neural Network (ANN).

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