Q&A: Pete Kane, CEO of Silicon Valley Artificial Intelligence

#artificialintelligence

As the CEO of Silicon Valley Artificial Intelligence, Pete Kane has founded multiple startups such as Healthcare Minnesota and Startup Venture Loft, which led to his most recent collaborative creation Silicon Valley Artificial Intelligence. The community group uses machine learning (ML) and artificial intelligence (AI) to collaborate on research projects that can make landmark discoveries in science and healthcare. Silicon Valley AI will host the Genomics Hackathon from Friday through Sunday at Google Launchpad in San Francisco. In the future, I believe AI will play a leading role in areas like drug discovery, personalized medicine and cancer genomics.


Why Element.AI's $102 million round is just the beginning

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Well, here's how: They are brilliant because they hit on the biggest pain for AI in the coming 10 years -- the need for business executives in low-tech companies to access AI in an easy-to-use way that still gives them customized solutions from tier-1 technologies and the world's best AI-talent. Apple, Microsoft, Google, and Facebook have acquired over 200 of the world's leading AI technologies in recent years. Take for instance Apple's acquisition of Lattice Data, a dark data company, for $200 million. The company's strategy of creating an ecosystem of technologies and talent combined with handholding AI-strategy consulting for business people is the solution to the three challenges mentioned above.


Wisconsinites can now (legally) get 20 pounds of cheese and beer delivered by robot

Mashable

If you live in the Badger State, you can now legally have your award-winning cheeses delivered to you 20 pounds at a time inside Starship Technologies' delivery bots. The only stipulation is that the bots weigh 80 pounds or less, and a human must be in position to take control of the machine in case the six-wheeled pods try to steal a customer's cheese and/or beer. Starship bots weigh 40 pounds on their own and can carry 20 pounds of supplies, about the equivalent of 20 bricks of Widmer's 10-year aged cheddar cheese. If three's a trend, then Starship delivery bots are now on a literal roll.


Why Net Neutrality Matters

WIRED

Under the current net neutrality rules, broadband providers like Comcast and Charter, and wireless providers like AT&T and Verizon, can't block or slow down your access to lawful content, nor can they create so-called "fast lanes" for content providers who are will to pay extra. In other words, your internet provider can't slow your Amazon Prime Video stream to a crawl so you'll keep your Comcast cable plan, and your mobile carrier can't stop you from using Microsoft's Skype instead of your own Verizon cell phone minutes. Amazon, Netflix, YouTube, and a handful of other services may dominate the online video market, but without net neutrality, broadband providers might try to make it more expensive to access popular streaming sites in an attempt to keep customers paying for expensive television packages. Lewis also points out that there are a few other consumer friendly protections in the FCC's net neutrality rules.


Sentiment Analysis of Movie Reviews (2): word2vec

@machinelearnbot

If we want to find similarities between words, we have to look at a corpus of texts, build a co-occurrence matrix and perform dimensionality reduction (using, e.g., singular value decomposition). Using so-called distributed representations, a word can be represented as a vector of (say 100, 200, … whatever works best) real numbers. And as we will see, with this representation, it is possible to model semantic relationships between words! This makes a lot of sense: So amazing is most similar, then we have words like excellent and outstanding.


Why Your Brain Hates Other People - Issue 49: The Absurd

Nautilus

To simplify, this can be revealed with the Implicit Association Test, where subjects look at pictures of humans or trolls, coupled with words with positive or negative connotations. Recent work, adapting the Implicit Association Test to another species, suggests that even other primates have implicit negative associations with Others. And monkeys would look longer at pairings discordant with their biases (e.g., pictures of members of their own group with pictures of spiders). Thus, the strength of Us/Them-ing is shown by the: speed and minimal sensory stimuli required for the brain to process group differences; tendency to group according to arbitrary differences, and then imbue those differences with supposedly rational power; unconscious automaticity of such processes; and rudiments of it in other primates.


Using Apache Spark with Intel BigDL on Mesosphere DC/OS · Blog

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Machine learning applications developed using BigDL and Spark can also take advantage of the best-in-class streaming engines, the Lightbend Reactive Platform and messaging technologies like Kafka that form the complete suite of FDP. In this blogpost, Lightbend's Fast Data Platform team and Intel's BigDL team collaborate to describe the experience of implementing and deploying deep learning models on BigDL using Spark on Mesosphere DC/OS. The complete distribution of DC/OS includes a distributed systems kernel, a cluster manager, a container platform and an operating system. The platform layer offers the core datacenter operating system support along with container and cluster management services.


How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 3 Codementor

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I've been making some TensorFlow examples for my website, fomoro.com, While it's fresh in my head, I wanted to write up an end-to-end description of what it's like to build a machine learning app, and more specifically, how to make your own reverse image search. For this demo, the work is ⅓ data munging/setup, ⅓ model development and ⅓ app development. The job of the predict script is to load a checkpointed model, run a bunch of images through that model, compare their embeddings, and finally save the results into a couple files I use directly in my app. That's how I used machine learning and TensorFlow to create a reverse image search.


HTBase to Exhibit at @CloudExpo New York @HTBase #AI #ML #SDN #SDDC

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.


MobiDev to Exhibit at @CloudExpo NY & Silicon Valley @MobiDev_ #IoT #AI

#artificialintelligence

SYS-CON Events announced today that MobiDev, a client-oriented software development company, will exhibit at SYS-CON's 20th International Cloud Expo, which will take place June 6-8, 2017, at the Javits Center in New York City, NY, and the 21st International Cloud Expo, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.