Microsoft Embeds Artificial Intelligence in Windows 10 Update

#artificialintelligence

The next Windows 10 update opens the way for the integration of artificial intelligence within Windows applications, directly impacting hundreds of millions of devices from Windows PCs and tablets to IoT Edge devices. The new version of the Windows ML platform allows developers to integrate pre-trained deep-learning models within their applications directly in Visual Studio. The models must be converted into the Open Neural Network Exchange (ONNX) format before importing into VS tools. ONNX is an open-source machine-learning framework launched by Microsoft and Facebook in September 2017, later joined by AWS. ONNX enables portability between neural-network frameworks, making it possible for models trained with tools like Pytorch, Apache MxNet, caffe2 or Microsoft Cognitive Toolkit (CNTK) to be translated to ONNX and later implemented in Windows applications.


Facebook's Caffe2 AI tools come to iPhone, Android, and Raspberry Pi

PCWorld

New intelligence can be added to mobile devices like the iPhone, Android devices, and low-power computers like Raspberry Pi with Facebook's new open-source Caffe2 deep-learning framework. Caffe2 can be used to program artificial intelligence features into smartphones and tablets, allowing them to recognize images, video, text, and speech and be more situationally aware. It's important to note that Caffe2 is not an AI program, but a tool allowing AI to be programmed into smartphones. It takes just a few lines of code to write learning models, which can then be bundled into apps. The release of Caffe2 is significant.


As Watson matures, IBM plans more AI hardware and software

PCWorld

Just over five years ago, IBM's Watson supercomputer crushed opponents in the televised quiz show Jeopardy. It was hard to foresee then, but artificial intelligence is now permeating our daily lives. Since then, IBM has expanded the Watson brand to a cognitive computing package with hardware and software used to diagnose diseases, explore for oil and gas, run scientific computing models, and allow cars to drive autonomously. The company has now announced new AI hardware and software packages. The original Watson used advanced algorithms and natural language interfaces to find and narrate answers.


As Watson matures, IBM plans more AI hardware and software - The MSP Hub

#artificialintelligence

Just over five years ago, IBM's Watson supercomputer crushed opponents in the televised quiz show Jeopardy. It was hard to foresee then, but artificial intelligence is now permeating our daily lives. Since then, IBM has expanded the Watson brand to a cognitive computing package with hardware and software used to diagnose diseases, explore for oil and gas, run scientific computing models, and allow cars to drive autonomously. The company has now announced new AI hardware and software packages. The original Watson used advanced algorithms and natural language interfaces to find and narrate answers.


As Watson matures, IBM plans more AI hardware and software

#artificialintelligence

Just over five years ago, IBM's Watson supercomputer crushed opponents in the televised quiz show Jeopardy. It was hard to foresee then, but artificial intelligence is now permeating our daily lives. Since then, IBM has expanded the Watson brand to a cognitive computing package with hardware and software used to diagnose diseases, explore for oil and gas, run scientific computing models, and allow cars to drive autonomously. The company has now announced new AI hardware and software packages. The original Watson used advanced algorithms and natural language interfaces to find and narrate answers.