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Managing a User's Trust with Machine Learning SaaS Software

#artificialintelligence

There's no quicker way to lose a user or buyer of your software than to lose their trust. The software didn't save my data. The website is down frequently. Data integrity is a challenge every company storing data faces. Machine learning SaaS startups face another trust risk – one introduced by probability.



Algorithms That Learn with Less Data Could Expand AI's Power

#artificialintelligence

Last year Microsoft and Google both showed that their image-recognition algorithms had learned to best humans. They independently created software that could exceed the average human score on a standard test that challenges software to recognize images of a thousand different objects, from mosques to mosquitoes. But to get good enough to defeat humanity, each company's software scrutinized 1.2 million labeled images. A child can learn to recognize a new kind of object or animal using only one example. Startup Geometric Intelligence said Monday that it has developed machine-learning software that is a much quicker study.


Algorithms That Learn with Less Data Could Expand AI's Power

#artificialintelligence

Last year Microsoft and Google both showed that their image-recognition algorithms had learned to best humans. They independently created software that could exceed the average human score on a standard test that challenges software to recognize images of a thousand different objects, from mosques to mosquitoes. But to get good enough to defeat humanity, each company's software scrutinized 1.2 million labeled images. A child can learn to recognize a new kind of object or animal using only one example. Startup Geometric Intelligence said Monday that it has developed machine-learning software that is a much quicker study.


AI Software Learns to Make AI Software

#artificialintelligence

A number of research organizations are working to create artificial intelligence systems capable of developing machine-learning software. Several research organizations, including Google Brain and DeepMind, are working to create artificial intelligences (AI) that can in turn develop machine-learning software. A team at the Massachusetts Institute of Technology (MIT) plans to open source the software behind their experiments, in which an AI designed deep-learning systems that matched systems made by humans on standard tests for object recognition. MIT Media Lab's Otkrist Gupta believes companies will be motivated to find ways to make automated machine learning practical.