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IBM_Watson

IBM Watson: Application of Intellectual computing in Life Sciences Study

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Category : Blog

Life Sciences Researchers are under pressure to innovate faster than ever. Big data offer the promise of unlocking unique insights. Today data is of utmost importance in every field ranging from Internet data to data collected from customers. Nowadays we can see that in every shopping malls, cabs drivers, home delivery services, fast food chain stores take feedback from their customers because they wanted to gather data in order to expand their business with the help of data which permanently give them a huge customer database. Although more data are available than ever, only a portion of it is being executed, understand and analyzed.


New technologies like cognitive computing proposed promise for inscribing this dare because cognitive solutions are exclusively designed to integrate and analyze big data sets. Cognitive solutions are designed to understand various datasets in a structured database. Cognitive solutions are structured to understand technical, industry-specific content, advanced reasoning and predictive modeling.

Watson, a cognitive computing technology, has been configured to support life science research. The Watson edition encompasses medical literature, patents, chemical and pharmaceutical data that researchers would commonly use in their work.




Many people know Watson as the IBM-developed cognitive supercomputer that won the Jeopardy game show in 2011. In truth, Watson is not actually a computer but a set of algorithms and APIs. IBM has used in every industry from finance to healthcare.


Recently IBM has announced several new partnerships which focus on taking things further and level extent. Also, it puts its cognitive capabilities to solve a new set of technologies around the world.


Meaning of Cognitive computing as per the Vice President of IBM Watson Steve Gold, what started with his own company’s development of tabulation computing, to process US census data at the inception of the 20th century developed into programmatic computing in the middle of the century, with the arrival of transistors, relational databases, magnetic storage and microprocessors.
We can see the tremendous growth in unstructured data we have faced in recent past years, the artificial methods that have been developed to help us make sense and learn from this data have given rise to cognitive computing. These cognitive computers don’t need to be programmed- they can learn from themselves.


The concept works like traditionally, computers have done what we tell them to do. We give them command and they need to follow that command as computers were already programmed to follow commands. We give them code containing instructions whatever we want them to be done and they follow the orders and carry out the result in the same fashion.
There is a limitation that they can only do whatever we want them to do things and what we teach them to do. We can’t simply order computers to develop a remedy to cure AIDS and expects the results for the same. But considering the fact that the computers can process the data and information far faster than a human can do. It will be much efficient to give them all the data available and let them work out the best solution for it.

Image Courtesy: Getty Images


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blockchain

In Vogue Blockchain Trends in 2018

Category : Blog

Many digital marketers, SEO and other digital world experts believe that we people are living in fourth digital generation. Technology is getting really advanced now a day. In digital technology domain blockchain has developed as one of the tremendous inventions. Everyone is aware of the fact that blockchain retains the way to endless technological possibilities. Today, everyone starting from government, entrepreneurs, companies and new start-ups are doing growth with the help of blockchain. The crowd funding domain has already distorted in 2017 by Initial Coin Offerings. Traditional crowd funding models were overtaken by ICOs.

Blockchain application is in various domains of human effort, expectations are set to be up for this year. This blog scrutinizes blockchain technology recent trends to look out in 2018.

1. Blockchain and the internet of things:

Since 2014, it was known that blockchain technology can be used only for financial applications. The Ethereum blockchain and its initiation of the smart contract framework have opened up new possibilities now. Many technical experts in this field have trust that blockchain technology retains the solution to some of the troubles disturbing the successful execution of IoT.

What is an Internet of Things (IoT):

The (IOT) is an augmentation of internet communication limits to involve every possible tangible thing on the planet. It is a network of devices, animals, people, vehicles etc. which are capable of communicating and transmit data. With the help of using an array of sensors, actuators, RFID chips and other network connectivity devices, everything on the planet get linked and connected. Once it gets successfully implemented then without human interaction machine to machine communication can be possible.


Many stakeholders in the IoT development domain are searching the potential usage of blockchain in the IoT model.

Blockchain – IoT implementation:

Blockchain has the prospect to provide a secured framework for the IoT. The Blockchain is descriptively tamper-proof. As blockchain have one financial advantage that the secured blockchain is also cost-effective and provides faster transaction speed? Blockchain has already manifested to be the vigorous decentralized model that resists malicious war through a single point of failure. With data integrity being an even greater concern to the fidelity of the IoT, it is beyond doubt that blockchain will play an important role in its development in 2018.

2. Blockchain and Artificial Intelligence:

Since computers had been invented, scientists have been watching for various ways to develop thinking machines. AI is nothing but an algorithm that enables machines to manifest functions they weren’t programmed for. In order to operate to its fullest capacity, machines which have the potential of learning how to operate “big data”. Exchange of big data is not financially viable, but with the support of blockchain, this all could change. Blockchain can provide a safe atmosphere for big data owners to link with AI developers. By doing so, complex machine learning algorithms can be developed to help smart devices take benefits of the big data available to them in order to achieve artificial intelligence.


Conclusion:

At previous decades, machines like computers technologies like internet were developed and they all are meant to be one of the greatest inventions invented in the welfare of mankind which is helping in all-round development of human. Blockchain technology has the potential to assimilate and propound feasible panacea to many of these technology advancements. As the procedures become more strengthen and data points become more scattered, network security will become a major issue. This is a platform where blockchain technology with its descriptive immutability and vigorous security become key to the successful implementation of these procedures.


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NLP

All about Natural Language Processing

The domain of research that point out the interactions between human languages and computers is called Natural Language Processing or NLP. It stands at the junction of computer science, artificial intelligence and computational linguistics.

NLP is a path for computers to inspect, understand and derive meaning from human language in a smart and useful manner. Through NLP, developers of it can collect and establish ideas to perform tasks such as automatic summarization, translation, entity recognition, sentiment/emotion analysis and speech recognition. It also has advanced features like correcting grammar, converting speech to text and automatically translates between two languages. NLP is generally used for text mining, machine translation and automated question answering.

A 2017 report on the natural language processing (NLP) market estimated that the total NLP software, hardware and services market share to be around $22.3 billion by 2025. The report also says that NLP software solutions influencing Artificial Intelligence will see a market growth from $136 million in 2016 to $5.4 billion by 2025.

We can see in the below mentioned figuretrends

Example Natural Language Processing Use Cases

NLP is based on machine learning algorithms. Rather than using hand coding commands, NLP can rely on machine learning to automatically learn these set of rules by interpreting a set of examples. Social media analysis is an example of NLP use.

Current Applications of Natural Language Processing

Customer Service

Some of the current virtual assistance solutions using NLP serve as intelligence enhancement. In such applications, a customer’s first request is checked by the artificial intelligence such as apps like Nina. E.g. a banking customer service system uses the AI to answer some basic transactional difficulties such as opening an account or to figure out the best loyal customer of the bank.

Automotive

It also offers automotive virtual assistants connected to flagship cars OEM like BMW, JAGUAR, AUDI and others. One press release on Nuance’s partnership with BMW mentioned about Dragon Drive AI which enables drivers to access apps and services through voice commands, navigation, music, message, calendar, weather and social media.

It is possible to give a command to Artificial Intelligence to send a text message right from the car like, text Bella, “I will reach 10 minutes late at home” or “Get me directions to Dominos Pizza in Indore” etc.

Healthcare

NLP also provides solutions in healthcare domain. It includes clinical document improvement solutions. CDI is a process of improvising healthcare record of the patients to ensure good health of a patient, data quality etc. In this field AI allows physicians to write progress notes of patients, history of present illness and also plans or strategies need to be adopted for further actions. NLP provides real-time intelligence to physicians by automatically prompting them with clarifying questions while they are documenting.

There are many AI & NLP applications in the market. It is very important to choose the correct application that can resolve business problems with the help of technology and provide value.

Finally, businesses must have enough relevant data for learning algorithms for accurate outputs.

Future possibilities with NLP

  • Researchers are working on making AI more human-like, which is really a tough task. (E.g. making a conversational AI)
  • Expansion of existing AI technologies (E.g. extending automatic picture captioning to healthcare and other applications for clarification of image)



 


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blockchain

Recent trends in Blockchain

Blockchain has penetrated the market business models. It has the potential to transform industry operation models. In a study made by IBM, 15% banks said that they have plans to put blockchain into commercial production by 2017. The world economic forum estimated that 80% of banks are actively working on blockchain projects. The Blockchain is not only indulging in finance fields but in numerous other sectors as well.

$1.4 billion has been invested globally in blockchain start-ups across various sectors and the technology is growing rapidly.


Room for Growth in Asia

Blockchain technology has grabbed the focus of most virtual currency investor’s in North America, where public financial institutions have invested in projects or start-ups related to the blockchain. There is a significant scope of growth in Asia. Virtual currency investors are putting a lot of money into blockchain technology companies and start-ups in Asia. Some new small start-up companies are already into their second or third round of funding. Small companies already starting to lead to larger investments.

More use cases arise outside Finance

Companies like Uber and Airbnb are using blockchain in their business model. These companies are disrupted industries across the board by connecting consumers with things they wanted, they are still a middleman and cut their benefits. Blockchain is capable of removing such middle men entirely. It means whoever has what someone needs to take their full dues. E.g. a new ride-sharing app that links driver with customers peer to peer using the Ethereum Blockchain. “The Achilles” heel of Uber and Lyft is their centralized management of pricing.

By decentralising the decision into the hands of driver and rider, Arcade let the driver to feel like an entrepreneur and gave power to the rider with control over the entire experience.

Arcade City ranked top in the blockchain start-up category in Berlin Awards.

Governments get on the party

In the phase of low trust amongst government and department, information must be held in a transparent place where anyone can verify the ledger and any copies of the data stored even on non-govt. computers. Countries in the world are looking at how they could mint their own digital currencies and put money on the blockchain and they are expanding exploration into other areas of government. The Government wants to save money at every turn, it is really ready to get behind the technology. Estonia has used blockchain to develop a residency programme with the help of which any person in the world can apply to become e-resident of Estonia.

Education and collaboration will get a hike

The Blockchain is a new invention, a new technology, advancement of technical science but education to the students is still the biggest challenge. There are issues around security, as we saw this year Ether was hacked. Companies cannot get to an end just by a little bump in the road. Instead, they need to learn from other companies how do they protect their data and secure them with the watch of hackers.Early adopters are going to be the one who gets the most benefit out of the technology. Organizations need to understand how they can use blockchain if they are to realize its massive potential.

 


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Blockchain

What is Blockchain in Simple Terms?

Blockchain is a technology, a way for an internet user to repatriate an ultimate piece of digital property to another internet user. But, the repatriation is purely safe and secure; everyone is known about the fact that transfer has taken place, still, nobody can challenge the validity of transfer took place.

Well, with the help of Blockchain, many people can write the entries into a record of information, and the group of users can access and control how the record of information is changed as well as updated.

Blockchain technology is launched in 1991, but it was not used properly and then in 2009 SATOSHI NAKAMOTO made cryptocurrency by using Blockchain technology. The Blockchain is a Distributed Database which comprises data of thousand and lacs of computers interlinked. The Whole database of blockchain is encrypted which means each data present in blockchain is fully confidential.

Blockchain posses a technology known as fault tolerant which means when some computers fail to function then too blockchain keeps their data confidential and secure. The Blockchain is a public ledger and it is not used for the sole purpose of currency transaction but it can be used anywhere where there is a need of mediator for trust, faith and guarantee.

Miners which helps in validating new transactions, connecting in existing Blockchain, broadcasting of updates.

Bitcoin block consists of three elements which are Data, HOPB, HASH

Data consists of the amount sent by a person to another person, the HASH value is a unique identity. By using HASHES we can detect changes in blocks and HOPB is previous block’s HASH value, which is why Blockchain is considered to be the safest means of transactions record.

Proof of working in BLOCKCHAIN, how it works. Suppose there is new transaction took place like Ram has to pay 50 INR to Shyam. Now both the parties wanted to record this transaction into Blockchain then it can be recorded by miners using private keys and public keys. These keys are string of numbers which are of 256 bytes. Miners also have their financial motives behind updating of this transaction into Blockchain.

To make fake block valid hacker needs to calculate every block’s poof of work which is impossible.

Blockchain is Decentralised network, block chain is used under peer to peer network

In nutshell suppose if someone made a new block, then the new block will be broadcasted in blockchain then each node verify whether block updated is valid or fake. If a new block is valid then it will be added to blockchain and if fake then it will be removed from the blockchain.

Suppose you want to register your new plot with the registrar. Now registrar is providing you with a certificate that you are the exclusive owner of this property. In future blockchain will reduce this paperwork. The concept which is launched is that you can directly update your transaction with the help of miner on blockchain and if every node accepts and approve it then it will be updated on blockchain and become a public document. But it will always be safe in blockchain, no one can hack it. So this way transaction took place and recorded in blockchain and a chain is created of new transactions or blocks.