Archive for the ‘Artificil intelligence’ Category

Post event analysis by for Blockchain Summit 2018, Singapore conducted by UNICOM

28 Feb

Singapore’s Industry Leaders Discuss the Future of Blockchain Technology at Unicom’s Blockchain Summit 2018

Held in a pleasant, intimate setting of Ramada Hotel’s Zhongshan hall, the Unicom’s Blockchain Summit 2018 offered a number of interesting talks on the current development in blockchain technology and emerging token economy.

Are we going towards AI-governed blockchains?

Hayk Hakobyan’s take on the issue of governance offers a big picture overview of the problem and outlines directions toward AI-governed blockchains that will eventually enable us to solve real-world problems such as e-voting and intelligent decision making.

He points out problems with traditional blockchain systems such as Bitcoin and Ethereum that are caused by asymmetries in incentives for system improvements between developers, miners and users.

In the case of Bitcoin, new developers are not incentivized to improve the system as there is little value for them in doing so. As a result, there is a potential risk of a small number of veteran Bitcoin developers gaining too much power and being susceptible to bribery or being responsible for slowing the technological advancement of the Bitcoin ecosystem. At the same time, there is a risk of miners gaining disproportionate power over the system as well since high-volume miners are a small, concentrated group.

Ethereum plans to transition from PoW towards PoS system of governance. The system based on PoS addresses the possible centralization risk and the risk of disproportionate power accumulation observed in the Bitcoin network. However, the system is still overly reliant on Ethereum’s creator and there are few ways for incentivizing core system development.

New types of chains offering on-chain governance are emerging:


Similarly to Ethereum, Tezos is a smart contracts platform. However, it also allows protocol upgrade through on-chain governance. The core idea behind Tezos system of governance is to incentivize developers (or anyone for that matter) to propose protocol changes. The developer submits a proposal for protocol update and at the same time requests compensation for their work. In effect, the power dynamics shifts toward the users and away from miners and core developers. In order for the suggested protocol changes to be implemented Delegated Proof of Stake (DPoS) consensus model comes to play, whereby token holders can choose delegates to represent their votes.


Dfinity offers similar system of governance as Tezos with the added possibility of applying changes retroactively. This essentially means that, apart from protocol updates, users have the power to back-edit the existing ledger when necessary. This is particularly useful in case of cyber-attacks.

Taking a step further, Hakobyan discusses other theoretical concepts of governance (such as Futarchy, Liquid Democracy and Quadratic voting). He also proposes that a combination of AI and blockchain technology could potentially mark the beginning of entirely new paradigm: maximizing security while remaining immutable by employing AI agents to govern the chain.

Governance 2.0
A system of governance whereby coordination, incentives and decisions (including consensus) will be governed according to proven AI models.

Governance 3.0
Combination of blockchain and AI technology contributes to the development of direct democracy, such as in global transfer of large amount of data or tracing e-voting procedures. Moreover, in the line of the core idea behind the CAPTCHA project, where both human mind and AI collaborate on a large scale in order to digitize old books and scripts, PoW protocols can be designed to contribute to the common good and wealth of humanity.

Photo Gallery from the Unicom’s Blockchain Summit 2018 in Singapore

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Tech must be the servant rather than the master

26 Sep

People and communities are putting new technologies to use in solving social problems

IT conferences , IT summits

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Technological innovation often starts with a promise of empowerment — plans to make the whole world’s information accessible (Google), to give people the power to build community (Facebook), to share ideas instantly (Twitter), or simply to enable them to do more (Microsoft).
However, as technology companies have grown, many people have a sense of disenfranchisement and powerlessness. Their data are collected and traded — often hacked — in ways that are difficult to monitor and control. Smart cities are covered in sensors but the information is not necessarily freely available. People fear that robots will take their livelihoods. Social media can be an arena for bullying rather than free speech.

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Away from the bleak headlines, however, people and communities are still putting new technologies to use in solving social problems, holding authorities to account and overcoming injustice or inequality. Often these projects and innovations happen at grassroots level and on low budgets, practically invisible to the wider public.


Tech lines by Leaders:
Every piece of technology should help embellish the capability of human beings. We definitely want more productivity and efficiency, but we do not want to degrade humanity.

“The ability to really make sure that we’re not only thinking about the person, but the institutions people builds,”

“We think about it at the global scale, but most importantly, for us, it’s not about our technology, it is about what you can do with technology to create your own technology, to have real impact in moving our society and economy forward. That’s what is central to our mission,”

“In fact, technology trends and paradigms will come and go, but what will center us is this sense of purpose and mission?”

This is a time where the profound impact of technology in everything that people do is so much deeper, so much broader, whether one is talking about precision agriculture, or precision medicine, the future of connected products, smart cities or smarter factories.

“There isn’t a single industry that isn’t being transformed.

We collectively have the opportunity to lead in this transformation,”
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Artificial Intelligence Machine Learning Bangalore

21 Sep

Artificial Intelligence

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Technology innovations meet greatest success in business when these are entirely ‘client focussed’. Developments in the retail sector, which is consumer-led, are addressing client demand for more personalised, faster and competitive services. Artificial Intelligence, Machine Learning and Sentiment Analysis are changing the way in which these services are offered. In particular Financial Organisations are creating and leveraging such innovation in the domain of wealth management. This trend is now being taken on board by multiple innovators: academia, start-ups, technology companies and financial market participants.

Philosophy of AI
While exploiting the power of the computer systems, the curiosity of human, lead him to wonder, “Can a machine think and behave like humans do?”

Thus, the development of AI started with the intention of creating similar intelligence in machines that we find and regard high in humans.

Goals of AI
To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.

To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans.

What Contributes to AI?
Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.

Out of the following areas, one or multiple areas can contribute to build an intelligent system.

What is AI Technique?
In the real world, the knowledge has some unwelcomed properties −

Its volume is huge, next to unimaginable.
It is not well-organized or well-formatted.
It keeps changing constantly.
AI Technique is a manner to organize and use the knowledge efficiently in such a way that −

It should be perceivable by the people who provide it.
It should be easily modifiable to correct errors.
It should be useful in many situations though it is incomplete or inaccurate.
AI techniques elevate the speed of execution of the complex program it is equipped with.

What is Intelligence?
The ability of a system to calculate, reason, perceive relationships and analogies, learn from experience, store and retrieve information from memory, solve problems, comprehend complex ideas, use natural language fluently, classify, generalize, and adapt new situations.

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Applications of AI
AI has been dominant in various fields such as −

Gaming − AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge.

Natural Language Processing − It is possible to interact with the computer that understands natural language spoken by humans.

Expert Systems − There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users.

Vision Systems − These systems understand, interpret, and comprehend visual input on the computer. For example,

A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas.

Doctors use clinical expert system to diagnose the patient.

Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.

Speech Recognition − Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in human’s noise due to cold, etc.

Handwriting Recognition − The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text.

Intelligent Robots − Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.

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Artificial Intelligence Brings Changes To Hiring And Negotiation

04 Aug

aritificial intelligence
Artificial intelligence is bringing changes to all aspects of the hiring process. Could it ever replace negotiation?

At Innovation Congress, a recent conference about staying competitive amidst rapidly changing technology, speakers discussed how companies are using AI to screen candidates.

Estée Lauder is using new video technologies to “open up the funnel of candidates and leverage technology to screen them, so that human interaction happens at the right time,” said Michael Bowes, vice president of global talent, who spoke on a panel discussion about the future of work and talent. “This way, all the stuff that can be done by machines is done, and you can focus.”

Bowes said Estée Lauder uses characteristics like tonality and word choice in screenings as part of the hiring process for beauty advisors, the customer service and sales representatives who work at beauty counters. They will hire 30,000 beauty advisors alone next year.

At this volume, it’s easy to see why a company would want to use AI to narrow the field. But some panelists expressed misgivings. It’s not hard to imagine candidates trying to game the system. One concern is whether AI would help or hinder diverse candidates who often face hiring and negotiation challenges. Do human biases extend to our artificial counterparts?

As Leslie Bradshaw, fellow panelist, entrepreneur at Bionic Solution (and Forbes contributor), put it, “someone had to program that algorithm.”

Bradshaw said that the breaks she got early in her career came from connections, not credentials, and that she wouldn’t want to work at a place where screeners replaced humans.
Some companies are embracing technology solutions that are specifically designed to help reduce unconscious bias in the hiring process. One company, Blendoor, designed software to present candidates to companies without their name, age, photo or university information.

But could companies ever delegate negotiation to a computer? Would they?

“Human interaction will never be replaced,” said Stephan Theringer, a panelist and founder of the Human Innovation Garage. “That piece about how someone fits to culture will never be replaced by AI.”

Enter Cindy Gallop.

Gallop, who gave the conference’s closing keynote, is the English advertising consultant known for her widely-viewed TED Talk, “Make love, not porn.”

She knows a thing or two about negotiation. On Equal Pay Day this year, Gallop partnered with advertising agency R/GA, PayScale and The Muse to launch CindyBot, a Facebook Messenger chatbot to help women ask for a raise.

“It’s like having me in your pocket,” Gallop said.

The bot gives users a pep talk on why they should ask for more and tips on what to ask for, all in Gallop’s signature colorful language.
I had the opportunity to ask Gallop myself whether she thought one-on-one negotiation would soon be replaced with a technology solution, and whether that would even be a good thing.

She told me that technology has already changed things significantly by giving job seekers access to more information through websites like PayScale. Having access to that information is a good thing, and it gives candidates more knowledge and grounds to ask for higher salaries.

But ultimately, she agreed: AI could never replace the human interaction elements of negotiation.
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