A Brief History of Machine Learning at Uber Uber has been working on machine learning (ML) for several years, first introducing Michelangelo, its centerpiece machine learning platform, in September 2017. The company describes its overall contribution to the space of
AI, the Edge and the IoT Frontier IoT has shifted away from connecting simple everyday devices such as cameras, thermostats and light bulbs to smart assistants, smart appliances and live streaming baby monitors. The data gleaned from the new wave
Algorithmia is an AI startup that offers access to a catalog of 3,500 algorithms, functions and machine-learning models in a widespread bid to change how algorithms are used. The startup has received funding from Google; Anna Patterson, VP of Engineering
ScientiaMobile, a company specializing in mobile device intelligence and image optimization, has its own “smart image CDN”, ImageEngine. They originally launched the CDN back in 2015 as ImageEngine, and claim that the dynamic optimization it offers can yield up to
As recently announced, Google is bringing the DeepMind Healthcare Unit into its fold to bolster its efforts in the competitive field of AI healthcare research. DeepMind’s health subsidiary will now be part of Google Health spearheaded by David Feinberg, the
TensorFlow and Caffe are each deep learning frameworks that deliver high-performance multi-GPU accelerated training. Deep learning frameworks offer initial building blocks for the design, training and validation of deep neural networks and training for image, speech and text based data,
Earlier this year, Google announced its Learn2Compress technology as part of its ML Kit. Google’s AI research team developed Learn2Compress to power its automatic model compression service. The innovative Learn2Compress technique enables the reduction of large AI models into small
IBM Research and the Looming Threat of AI-Powered Cyber-Attacks IBM Research has a long history of studying how emerging technologies are affecting the threat landscape to decide what cybersecurity countermeasures might be necessary to combat them; DeepLocker, its AI-powered malware
Today, we’re going to look at the TensorFlow ecosystem in some depth. As an open-source ML framework released and developed by Google, it has built a formidable community in a relatively short period of time and has demonstrated some very
Last week, Google released its new reinforcement learning (RL) framework, Dopamine, based on its machine learning library, Tensorflow. The search giant has open sourced the innovative new framework to GitHub where it is now openly available. “Inspired by one of
Last month, we wrote a summary of the latest Google Cloud Next conference held in San Francisco. Not only did Google highlight its latest major investments in infrastructure, but the search giant went into detail about how it is pushing
In a recent Netflix blog by Chaitanya Ekanadham, Manager, Analytics and Data Science, Ekanadham explained some of the technical challenges the company faces and why machine learning and statistical models are helping them to overcome these challenges. Netflix currently has over
Machine Learning (ML) is being ever more employed by business in an increasingly widening collection of commercial applications. There are five emerging giants of ML today: Netflix, Google, Twitter, Facebook and Uber. Netflix recently hosted a Machine Learning Platform meetup
Earlier this month, Intel announced the delivery of a 17-qubit quantum chip, in partnership with QuTech, its quantum research partner based in Holland. The new chip is significantly different to the one that has been used by phones, PCs and
AWS and Microsoft have joined forces to announce Gluon, a new open source deep learning interface, giving developers accessibility to easily and quickly build machine learning models for their apps and other services.
