Home > 8 Huge Advantages of Edge AI & the Tools to Deliver Them

8 Huge Advantages of Edge AI & the Tools to Deliver Them

Edge AI technologies-seen and unseen- provide huge benefits in a world that's digitally connected, 24x7. This rapid advancement of edge AI is not because of one or two "killer apps"-new solutions and usages continue to emerge all the time.

Artificial Intelligence (AI) continues to show up in our everyday lives, but its presence is gentle and welcomed, largely due to the advancements in edge AI. Many AI use cases are best suited for the edge where processing happens at or close to the data source, lowering costs, reducing application or service latency, improving reliability and increasing data privacy. The use cases below deliver some of the biggest benefits of edge AI in our everyday lives, with many deployed using Intel's technologies and strong developer ecosystem.

  • Secured banking systems can auto-detect abnormal spending, transactions triggered through various payment platforms locally or in other countries, and other unusual activities in your account-notifying you immediately and asking you to confirm the transaction.
  • AI-backed delivery logistics systems provide tracking information and ensure that packages arrive at the right place, on time, and with full traceability throughout that journey.
  • Home security systems “see” packages and persons arriving on your doorstep and alert you if there is unusual activity.
  • Recommendation engines provide travel options for visiting family or going on vacation-from planes, trains and automobiles, to hotels, camping and RVs, to hiking, kayak tours, food festivals, yoga retreats, wine tastings and more.
  • Traffic control systems, with coordinated signal lights for traffic-flow efficiency, help you to navigate alternate routes when traffic piles up, while predicting how much time it will take to get you where you need to be.
  • Airport security systems are starting to get faster and smarter with face detection. This was recently tested in the world's busiest airport, Hartsfield-Jackson Atlanta International, where travellers moved much more quickly through the streamlined Security.
  • AI-enhanced entertainment, with smart-features like in-context player information, enrich and bring us closer to the experience-from movies to football.
  • Auto-generated communications trigger digital birthday and holiday greetings, and image rendering and aggregator tools auto-magically create photo and video albums to help us capture our experiences and stay connected with loved ones.

Edge AI technologies make all this possible. As we continue to build ever-stronger data privacy policies and security technologies, it's important to focus on how edge AI contributes to our quality of life. Software is at the heart of building blocks of technology. Listed below are some of the software tools, frameworks and libraries that help developers to build applications to bring the benefits of edge AI into our lives.

Deep Learning Training

Use your preferred deep learning framework on any number of hardware architectures, for both training and inference with the open source C++ library and runtime/compiler suite, nGraph Library. Whether you prefer Chainer*, MXNet*, BigDL, Theano*, Caffe*, TensorFlow*, or neonTM.

Computer Vision and Deep Learning Inference

Accelerate computer vision and deep learning algorithm development across multiple types of IntelĀ® platforms with the Intel® Distribution of OpenVINOTM toolkit. It includes a deep learning deployment toolkit with a model optimizer and inference engine, more than 30 pre-trained models (and supports 100+ public/custom models), computer vision algorithms, and samples. It also includes traditional computer vision functions like OpenCV, OpenVX*, media encode/decode, and more.

Systems and IoT Development

Boost performance, power efficiency, and reliability for system and IoT applications; speed-up and consolidate workloads; move from prototype to production quickly with an all-in-one foundational - tool suite, Intel® System Studio. It includes a compiler, performance libraries, analyzer and debugger tools, along with advanced cloud connectors and provides access to 400+ sensors.