machine learning


Use deep learning on data you already have

#artificialintelligence

Clean, labeled data requires data analysts with a combination of domain knowledge, and infrastructure engineers who can design and maintain robust data processing platforms. Looking toward narrow AI systems, much of the recent excitement involves systems that combine deep learning with additional techniques (reinforcement learning, probabilistic computing) and components (memory, knowledge, reasoning, and planning). Many current systems based on deep learning require big compute, big data, and big models. While researchers are seeking to build tools that are less dependent on large-scale pattern recognition, companies wanting to use deep learning as a machine learning technique can get started using tools that integrate with their existing big data platforms.


How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms

#artificialintelligence

Repeat Step 1 by recalculating the distance matrix, but this time merge the Bottlenose & Risso's Dolphins into a single object with length 3.3m. Then, we repeat Step 1 -- recalculate the distance matrix, but now we've merged the Pilot & Killer Whales into a single object of length 7.0m. Then, we repeat Step 1 and compute a new distance matrix, having merged the Bottlenose & Risso's Dolphins with the Pilot & Killer Whales. Then, it's back to Step 1 -- compute the distance matrix, having merged the Humpback & Fin Whales.


Inside Microsoft's Plan to Bring AI to its HoloLens Goggles

#artificialintelligence

Microsoft Corp. says it has the answer with a chip design for its HoloLens goggles--an extra AI processor that analyzes what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. "For an autonomous car, you can't afford the time to send it back to the cloud to make the decisions to avoid the crash, to avoid hitting a person. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com Inc. in cloud services, the company used customizable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.


Watson Is Just the Beginning

#artificialintelligence

At the Kellogg School's first Computational Social Science Summit, David Ferrucci, the lead scientist behind IBM's Watson computer, sat down with Kellogg School professor Brian Uzzi to discuss how machine learning and artificial intelligence will become central to the future of business. In the first of these videos, Ferrucci gives an overview of the five ways machine learning will be transformative. Computational social science aims to discover universal facts. Smarter machines are freeing up students to collaborate, solve problems, design, and innovate.


Quest for AI Leadership Pushes Microsoft Further Into Chip Development

#artificialintelligence

Microsoft Corp. says it has the answer with a chip design for its HoloLens goggles--an extra AI processor that analyzes what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. "For an autonomous car, you can't afford the time to send it back to the cloud to make the decisions to avoid the crash, to avoid hitting a person. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com Inc. in cloud services, the company used customizable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.



google-ai-helps-make-safer-baby-food

Engadget

Japanese food producer Kewpie Corporation has revealed that it's using Google's TensorFlow to quickly inspect ingredients, including the diced potatoes it uses in baby food. The result was an inspection system with "near-perfect" accuracy, culling more defective ingredients than humans alone -- even with a conveyor belt shuttling potatoes along at high speed. The TensorFlow system handles the initial removal, but there are still people waiting to inspect the potatoes afterward. The tech is currently limited to Kewpie's baby food, but the company expects to spread it to other foodstuffs before long.


Top 5 open-source tools for machine learning - JAXenter

#artificialintelligence

Some have been a little worried about the machine learning arms race leaving the world's top universities bereft of AI talent. Helpfully, the getting started section with TensorFlow has a ML for beginners section as well as a section for experts. Their getting started page is pretty well structured for deep learning beginners and walks newcomers through the initial steps with some problem sets. Microsoft's Cognitive Toolkit is a deep-learning toolkit for training algorithms to learn like the human brain.


Parley 'SnotBot' expedition brings machine learning and artificial intelligence to whale research - IT Peer Network

#artificialintelligence

In more than five years with Intel Labs, I've had the good fortune to be involved with a team of extremely bright people focused on researching large-scale machine learning and data mining techniques. This week's Parley SnotBot expedition, parts of which will be captured live by National Geographic, will build on the work being done by the Mind's Eye Lab, a research initiative arising out of a collaboration between Intel Labs and the Princeton Neuroscience Institute. Applied to drone video, machine learning can learn and remove the distortions caused by water, bringing out whale color patterns, speckling, and shape. While this week's expedition focuses on humpback whales, the same technologies can be applied to other animals to generate deeper insights than would be possible even with direct observations in the field.


Walk-through of The Fifth Elephant & Anthill Inside conferences this week

#artificialintelligence

We'll be live streaming both the events on YouTube, so if you aren't able to make it, do watch the live streams (YouTube lets you set a reminder): The Fifth Elephant and Anthill Inside expose you to trends in data science, deep learning and artificial intelligence. Let's walk through the schedules for both events: At this point, we'd like to make a special mention about our diversity sponsor -- Intuit India -- for sponsoring child care facilities at The Fifth Elephant, and Anthill Inside. We'd like to talk about community for women and non-binary gender data scientists, the problems we are solving in the field, and how we can foster more diversity in data science. On that note, Intel has created a developer portal for ML engineers, data scientists and students with resources on optimized frameworks, and training for artificial intelligence, machine learning, and deep learning.