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Top AI Innovations in Last Decade: Artificial Intelligence develops each day.
Top AI Innovations in Last Decade: Artificial Intelligence develops each day.

July 1, 2021

AI

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 Introduction of AI:

According to Dictionary, "AI is the capability of a machine to imitate human behavior."

Artificial Intelligence can think, work, and make decisions about which is exactly what the human brain doing that means AI imitates humans. It is an intelligence that can create computers & machines, pre-programmable robots, virtual assistants, etc. Through AI robots & computers easily adopt new things.

THE LAST DECADE:

Year: 2010

Apple’s SIRI:

 Apple-owned Siri at a cost of 200 million dollars in 2010. After acquired, the company immediately worked on applying SIRI into iPhone and make this AI assistant user-friendly. SIRI is the 1st modern virtual assistant installed in our smartphone/ iPhone that we have used today.

ImageNet:

ImageNet launched ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2010, their annual object detection/ recognition competition.

Microsoft’s Kinect for Xbox 360:

The first gaming device using a 3D camera and infrared detection tracked human body movement. Kinect performs full-motion tracking of the human body at 30 frames per second.

Year: 2011

IBM Watson won Jeopardy:

 IBM Watson, a natural question-answering computer that is capable of answering questions in natural human language, beat two former champions and won the Jeopardy.

Year: 2014

Amazon Alexa:

Alexa is a voice-based AI assistant developed by Amazon, first, use in Amazon Echo smart speaker and Echo Dot. Alexa catches commands and performs the tasks. It has the ability of voice interaction, playback music, setting alarms & reminders, playing audiobooks, real-time news, etc.

Tesla Autopilot:

In September 2014, Tesla Model S and X capable to purchase the Autopilot feature. The Autopilot System is capable of self-driving with autonomous steering, braking, speed limited adjustment, parking.

Year: 2015

TensorFlow:

It’s an end-to-end open-source artificial intelligence library, using data flow graphs and building models. It allows developers to create large-scale neural networks and build & deploy machine learning-powered applications. Basically, it is used for classifications, Perception, Understanding, Discovering, Prediction & Creation.

Yolo Paper:

Yolo is an approach to object detection which can regression problem predicts separated bounding boxes and associated class probabilities directly from full images.

Year: 2016

AlphaGo:

AlphaGo won World Championship against Lee Sedol. Go is a computer program that combines advanced search trees with deep neural networks.

Sophia:

Sophia is a social humanoid robot developed by Hanson Robotics. It is able to make simple conversations and answering the question on predefined topics even copy human gestures and Facial Expressions.

 Google Assistant:

Competing against Alexa & Siri, Google released its own virtual assistant. Using AI, Google assistant helps users search for information, remembering tasks, Create Appointments through voice.

Year: 2017

ONNX:

Facebook & Microsoft Joined Forces to Enable AI Framework Interoperability, developed the Open Neural Network Exchange, with the help of other communities allow models to be trained in one framework and transferred to another for inference.

Year: 2018

Waymo:

Waymo, the world’s most experienced driver, with over 10 million miles self-driven on public roads and almost 7 billion in simulation. To discover what they have learned along the way from literal curveballs in our path to navigating low-visibility dust storms, and more unexpected scenarios.

Alpha Fold:

AlphaFold developed by Google performs prediction of protein structure. It’s a great opportunity for biologists to use computational structure prediction.

Bert:

Google’s Bert is the first bidirectional, unsupervised language representation. Using transfer learning Bert uses a variety of natural languages.

Year: 2019

Solving Rubik’s Cube:

To enhance the dexterity, Open AI used the automatic domain randomization technique, trained Dactyl, a robotic hand, successfully solve the Rubik’s cube in a real-world scenario.

AI detects Lung Cancer:

Google researchers have recently worked with North-western Medicine to create an AI system that can detect more accurately than a human radiologist. A deep-learning algorithm was used to train this system, which interprets CT scans to predict the disease.

Project Connected Home:

Apple, Google, and Amazon are teaming up to develop an Open-source smart home standard to ensure that devices work together, make the development of new devices easier, and keep everything secure in this process.

Conclusion:

We can see how AI improves day by day. With increasing data, compute and research in the field, AI is moving in a rapid motion. We can uses AI in many fields like agriculture, security purpose, weather forecasting, etc. So, today we can't think without AI.


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