The rapid pace of technology innovation is simply proving too much for some vendors. With so many new technologies hitting the market at once, as in those technologies that become the building blocks for new features, trying to build the
Anodot is a Sunnyvale startup that is making waves in the emerging AIOps industry. AIOps, as it is known, is the next generation of APM (application performance management) and network performance monitoring that leverages machine learning to recognize patterns and
OpenAI was founded in San Francisco in 2015 with a mission “to ensure that artificial general intelligence benefits all of humanity”. Its founders, who include Elon Musk and entrepreneur and ex-Y Combinator President, Sam Altman, set up the organization partly
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
