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You Can Now Save The Bees Through Machine Learning

The students of the École Polytechnique Fédérale de Lausanne in Switzerland have recently come up with a machine learning strategy that can easily identify the parasites which pose threat to the bees.

Bees are facing a deadly threat from a parasite called Varroa mite. It infects and harms the bees and sucks blood from them and their young ones. Although, it can’t kill them straight away but can make them weak right after their birth. This can be a serious risk to the entire territory.

The beekeepers naturally want to avoid such encounters immediately. They started pulling out the hive regularly for a few days in order to inspect the dirt for the tiny mites. It is a painful task to perform as the mites aren’t even visible because they are too small in size. And, even if one is left out, the situation can get even worse.

This problem could be solved by the use of Machine Learning as its algorithms can easily search and sort through a noisy dataset and identify a particular pattern which is the shape of these mites, in our case.

The project just requires a good smartphone picture by the beekeepers and have them uploaded to the EPFL system. The implementation of the idea started in 2017 when the model was trained with a large number of images. The accuracy rate of the model achieved till now is 90%.

Not only this, but the movement of the bees is also monitored by a BeeSmart device. The device has sensors to track the activity of the entire colony, measure the humidity and temperature of the hive, and even to trace various mating patterns. The collected data is then sent to the beekeepers using the BeeSmart who will analyze and process it.

Artificial Intelligence has literally worked upon every existing problem in the world - be it gadgets, security, environment-safety etc. It provides a really wide spectrum to be explored with each passing day. It is amazing how AI or ML is transforming our lives for the good but we still have a long way to go.


How did the Chinese Internet Giant Utilise Artificial Intelligence and Machine Learning?

Chinese Tech Giant Baidu, which is a well known Chinese search engine and provider of other digital services and products has announced that they will be bringing up the artificial Intelligence (AI) and machine Learning in the prevalent business sectors.  Since, China has two times more population than US has , so banking upon that,and simultaneously using the data from the 731 million internet users, Baidu can get a lot of useful information to improve the algorithm of their tools.

While the company is majorly focussed on AI and machine Learning,  Baidu is planning to implement the technology in their office and currently makes use of the facial recognition technology to avoid using standard ID cards along with this, people can order tea from the vending machine just by the machine detecting the face.

In Jan’2017, Baidu recruited one of the top AI expert Lu Qi as their  COO, Lu Qi was previously working as a Microsoft executive. Even though he didn’t stay in company for long, he made a clear strategy for the companies AI operations for future.

The Top Ways in which Baidu is incor machine Learning and AI

  1. Voice Assistant-  DuerOS

Baidu’s voice assistant, DuerOS uses all the resources available through its search engines making it better at conversational skills as compared to Siri, Alexa and Cortana. To improve their stance in the innovation sector, Baidu aims at partnering with other tech companies. They have already implemented DuerOS on many devices by collaborating with almost 130 partners for TV, refrigerators, and speakers where the technology can be implemented for better usage. Since, Alexa, Echo, and Cortana are designed only according to American households so DuerOS has more chances of globalization in India, Japan, Europe, and Brazil as these households are somewhat similar to China. Baidu at CES 2018 debuted its Little Fish VS1 which is a DuerOS powered Smart Screen which can recognize and respond to many individual faces.  

  1. Mobile partners

In the present world AI plays a major role, hence it is obvious that AI  has been opted to be one of the core key players in driving the innovation from the company’s perspective. Baidu and Huawei are in the talks to partner  to develop an open mobile platform for AI to support its Ai powered Qualcomm processors and smart phones, to optimize the DuerOS for all the IoT devices in existence.

  1. Self driving cars

Even though automatic cars are banned in China, under a program called Apollo, Baidu is giving it’s  AI technology to car manufacturers in exchange of data to improve their AI algorithm.

  1. Medical Sector

By applying the Deep learning based algorithm doctors can detect even the minutest of cancer cells. This algorithm has reduced the number of false positives and better tumor detection. Computer vision to detect medical issues is best way of AI application.

With the governments and citizens support  Baidu might achieve its goal of proper AI algorithm much early for a long-term success. What do you think about the company’s perspective? Let us know in the comments down below!

Microsoft launched Dynamic 365 suite and App source in India with SaaS delivery model

Microsoft launched Dynamic 365 suite and App source in India through SaaS delivery model. The services will be provided to customers in the form of Software-as-a-Service from its data centers in India.

Dynamic 365 is the cloud-based suite of applications that integrates the CRM and ERP capabilities to provide the power of advanced data analytics, machine learning.

Microsoft Introduces a Universal Translator for Group Chatting

Microsoft App source is the app for your business needs, and users help to find and try out the line of business SaaS apps from Microsoft and its partners. At present Microsoft is providing more than 200 business SaaS apps.

Many industry sectors in India are using Dynamic CRM. Max health care, Yes Bank, Reliance life insurers, SOTC, VLCC, Cloudnine Group of Hospitals, Annik, Mastek and many more companies are using Dynamic CRM.

Microsoft Dynamics is used by 55 Retail and DMS customers of 74 retail brands, empowering 14,000 outlets, 25,000 users in India.

Microsoft Launched MINE for Taking Care of Eye care Global

Now onwards customers will pay for what they use and subscription allows for companies to scale or adapt technologies. This Dynamic 365 save organizations three to four times the cost of using traditional CRM applications.

Microsoft India, enterprise business, general manager, Peter Gartenberg said  “With this dynamic 365 we are giving the power of CRM and ERP on flexible and local cloud platform. Our manufacturing customers don’t need to invest in expensive and time-consuming deployments to start their digital transformation.

Google’s AI Experiments help you to Appreciate Neutral Networks

Google is known for its unique experiments with web technology. The company has featured thousands of creative web applications by using its web technology.  Today a lot of Google products use Machine Learning to serve its users for a better experience.

A Google AI experiment is a showcase for just simple experiments that lets anyone can play with this technology through drawings, pictures, etc.

If you want to know how neutral networks add details to your photos, translating languages and how they function??? Sure Google will help you in this. It has come up with the new AI (Artificial Intelligence) site which has a bunch of demonstrations of machine learning and AI.

Google Introduced the Photo Scan App, Turn your Old Photos into Digital Images

You can explore Machine Learning by playing with language, pictures, code, music and much more. The idea of Artificial Intelligence is just simply cool where you have to download codes to see how it works. Currently, there are eight features of Google AI, they are:

  • Giorgio Cam
  • Quick, Draw
  • Infinite Drum Machine
  • Bird Sounds
  • Thing Translator
  • A.I Duet
  • Visualizing High-Dimensional Space
  • Neutral Networks

Giorgio Cam: This is an experiment which lets you make music with the computer by just taking a picture. Giorgio Cam uses image recognition to label what it sees, and it turns those labels into lyrics of the song.

Quick, Draw: It is just built with machine learning. If you a draw some picture, the neutral network tries to guess what you are drawing. It’s just like a simple game and how you can use machine learning in a funny way.

Infinite Drum Machine: You can organize thousands of everyday sounds and also even make beats using drum sequencer.

Thing Translator: In this feature, you can take a picture of something, and you can also hear how to say it different languages.

Birds Sound: This experiment lets you organize thousands of bird sounds. In this, similar sounds are placed close together.

A.I Duet: This is an experiment which lets you make music through Machine Learning.

Visualizing High-Dimensional Space: It helps use to visualize what’s happening in the machine learning and also allow coders to use and explore their high-dimensional data.

Neutral Networks: In this experiment, you can turn on your camera to explore how each layer of the neutral works.

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