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Entrepreneurial Leadership / MIT Bootcamps
« on: April 24, 2018, 02:15:16 PM »
MIT Bootcamps

The MIT Bootcamps give a taste of the "drinking from the firehose" experience at Massachusetts Institute of Technology.

“MIT entrepreneurship ‘bootcamps’, intense short courses taught in conjunction with online entrepreneurship education programs, are bringing new kinds of students to campus from all over the world, and are also being offered in other locations where MIT is active…”


Bangladesh should embrace Internet of Things: experts

Star Business Report
Bangladesh should embrace the "Internet of Things" as it can help the country efficiently maintain key infrastructure, manage traffic properly and boost economic growth, according to experts.

IoT can immediately improve traffic management of cities, increase crop production, and maintain important infrastructure, they told a seminar at the Digital World on Friday.

For example, running air-conditioners at over 25 degree Celsius alone can save $67,644 a day in Bangladesh and IoT can ensure that.

“The whole world is moving towards this new technical innovation and if we fail to embrace it we will miss our next development scope,” said Khursheed Khan, managing partner at California-based Sagacious Solutions Inc, at the seminar titled “Fourth Industrial Revolution and Opportunities of Internet of Things”.

Khan said big data analytics, IoT and sensors can give a huge boost to the environment and agriculture, transportation and logistics, healthcare, manufacturing and utilities.

IoT is all about connecting objects to the network and enabling them to collect and share data. Machines, buildings, cars and many more things can be embedded with software and sensors that let them collect and exchange data.

It means people can control temperature of a room using an app or turn on the lights remotely. At city scale, IoT can generate real-time information with sensors in the road monitoring the flow of traffic and a public app showing available parking spots.

Faruk Ahmed Jewel, an expert from the Prime Minister's Office, said using IoT can help cut city congestion by at least 40 percent.

“So, the government is seriously considering adopting it.  Different government agencies have a huge amount of information and we need to use the information to find solutions,” he said.

DataSoft Systems Bangladesh Ltd, a local IT firm, is working in many countries on IoT. It is helping the Democratic Republic of the Congo run one of its longest bridges.

M Manjur Mahmud, chief operating officer of DataSoft, said, “We have been able to convince Japan how IoT can help cut electricity bills. Using this promise we are now installing IoT in 10,000 flats in Japan.”

M Helal Uddin Ahmed, chairman of the management information systems at Dhaka University, said IoT can help boost the country's overall growth.

“Billions of devices are connected with each other which are giving us a huge amount of information. We can create new knowledge by analysing the data and it can change our lifestyle,” said Ahmed.

Mahboob Zaman, a former president of the Bangladesh Association of Software and Information Services, said adopting new technologies such as IoT, artificial intelligence, robotics and augmented reality is needed to grow further.


Martin Trust Center for MIT Entrepreneurship

The Martin Trust Center for MIT Entrepreneurship provides the expertise, support, and connections MIT students need to become effective entrepreneurs. We serve all MIT students, across all schools, across all disciplines.

Trust Center Values:

MIT STANDARD OF EXCELLENCE AND RIGOR: We provide the highest-quality education, advising, and practical experiences.
COLLABORATION: We work closely with other MIT departments, labs, centers, and groups to connect students with the best entrepreneurship programming across the Institute, and beyond when appropriate.
DIVERSITY: Entrepreneurship requires diversity of opinion and diversity of people. Throughout our courses, advising, and programming, we combine a range of critical perspectives.
EXPERIMENTATION: Each year we try new programs and activities. If we fail, we learn. We don’t expect everything to work the first time; if it all does, we are not innovating enough.
HONEST BROKER: First, neither the Center nor its faculty or staff are allowed to take a financial interest in any of the new companies that we nurture and assist. Second, we strive to always provide our students with multiple options and educate them on the process to make an informed decision. The choice always rests with the student and the center will work to create a level playing field for the options. Our only goal is the student’s entrepreneurship education and long-term entrepreneurial success.
MENS ET MANUS: True to the motto of MIT, in all of our courses and throughout our activities, we operate on a hybrid model that fuses academic and practitioner perspectives.

To know more about their activities, you may visit the website of Martin Trust Center for MIT Entrepreneurship:

সেমিকন্ডাক্টর খাতের উন্নয়নে গুরুত্ব দিচ্ছে চীন

চীন স্থানীয় চিপ শিল্পের উন্নয়নে গুরুত্ব দিচ্ছে। যুক্তরাষ্ট্রের সঙ্গে বাণিজ্যিক উত্তেজনার মধ্যেই দেশটি সেমিকন্ডাক্টর খাতে শক্তিশালী অবস্থান দখলের লক্ষ্যে তত্পরতা শুরু করেছে। খবর রয়টার্স।

সম্প্রতি চীন সরকারের জ্যেষ্ঠ কর্মকর্তারা চিপ শিল্পের উন্নয়ন সম্পর্কিত এক আলোচনায় অংশ নিয়েছিলেন। এ শিল্পের উন্নয়ন কীভাবে ত্বরান্বিত করা যায়, আলোচনায় সে বিষয়টি স্থান পায়।

কয়েকদিন আগে মার্কিন প্রশাসন চীনা প্রযুক্তি কোম্পানি জেডটিই করপোরেশনের কাছে সব ধরনের যন্ত্রাংশ ও সফটওয়্যার বিক্রয়ে সাত বছরের নিষেধাজ্ঞা দিয়েছে যুক্তরাষ্ট্রের কোম্পানিগুলোকে। জেডটিইসহ অনেক চীনা প্রতিষ্ঠান চিপের জন্য মার্কিন কোম্পানির ওপর নির্ভরশীল। তাই এ নির্ভশীলতা কমিয়ে নিজস্ব চিপের ব্যবহার বাড়াতে উদ্যোগ নিয়েছে। চীন ২০২৫ সালের মধ্যেই বৈশ্বিক সেমিকন্ডাক্টর খাতে শক্তিশালী স্থান দখলের পরিকল্পনা নিয়েছে। এ সময়ের মধ্যে যুক্তরাষ্ট্র, জাপান ও ইউরোপের কোম্পানিগুলোর সঙ্গে প্রতিযোগিতা বাড়াতে চায় দেশটি।


২০২১ সালে ফাইভজি স্মার্টফোন সরবরাহ ১১ কোটিতে পৌঁছবে

০২১ সাল নাগাদ বিশ্বে ফাইভজি স্মার্টফোনের সরবরাহ ২৫৫ শতাংশ বেড়ে যাবে। ফলে ওই বছরে ফাইভজি নেটওয়ার্ক সমর্থিত স্মার্টফোনের সরবরাহ ১১ কোটিতে পৌঁছবে। বাজার গবেষণা প্রতিষ্ঠান কাউন্টারপয়েন্ট রিসার্চ এক পূর্বাভাসে এ তথ্য জানিয়েছে। খবর ইন্দো-এশিয়ান নিউজ সার্ভিস।

গবেষণা প্রতিষ্ঠানটির তথ্যমতে, ২০১৯ সালে ফাইভজি স্মার্টফোনের সরবরাহ কিছুটা মন্থর হবে। কারণ এ সময়ে বিভিন্ন দেশে ফাইভজি নেটওয়ার্ক বিস্তারে অবকাঠামো তৈরি করা হবে।

কাউন্টারপয়েন্ট রিসার্চের গবেষণা পরিচালক টম ক্যাং বলেন, ফাইভজি চিপের দাম বেশি হওয়ায় প্রথমদিকে ডিভাইসের দাম বেশি হতে পারে। শুরুতে ডিভাইসগুলো একেবারে প্রিমিয়াম থাকবে। অল্প কয়েকটি দেশ প্রথম দিকে ফাইভজি বিস্তারে অবকাঠামো তৈরি করতে সক্ষম হবে।

গবেষণা প্রতিষ্ঠানটির বিশ্লেষক মরিস ক্লাহেন বলেন, ফাইভজির অবকাঠামো উন্নয়ন ও স্মার্টফোন বিক্রিতে শীর্ষে থাকবে যুক্তরাষ্ট্র, দক্ষিণ কোরিয়া, চীন ও জাপান। এসব দেশ ফাইভজির মূল বাজার হতে পারে। ২০১৯ সালের মধ্যেই ফাইভজি প্রযুক্তি সমর্থিত স্মার্টফোন পাওয়ার প্রত্যাশা করা হচ্ছে।

কাউন্টারপয়েন্টের গবেষণা পরিচালক পিটার রিচার্ডসন বলেন, ফাইভজি ডিভাইসের বাজার দখল দ্রুত সম্প্রসারিত হবে না। তবে একসময় ফাইভজি ডিভাইস ব্যবসায় তেজি ভাব দেখা যাবে।

মার্কিন চিপ নির্মাতা কোয়ালকম এরই মধ্যে কোয়ালকম স্ন্যাপড্রাগন এক্স৫০ ৫জি এনআর মডেম আনার ঘোষণা দিয়েছে, যা ফাইভজি স্মার্টফোনে ব্যবহূত হবে। এর ফলে আগামী বছরের মধেই ফাইভজি স্মার্টফোন আনা সম্ভব হবে বলে মনে করছেন বিশ্লেষকরা।


Software Engineering / Amazon Mechanical Turk (MTurk)
« on: April 23, 2018, 04:59:36 PM »
Amazon Mechanical Turk (MTurk) operates a marketplace for work that requires human intelligence. The MTurk web service enables companies to programmatically access this marketplace and a diverse, on-demand workforce. Developers can leverage this service to build human intelligence directly into their applications.

Amazon Mechanical Turk (MTurk)

While computing technology continues to improve, there are still many things that human beings can do much more effectively than computers, such as identifying objects in a photo or video, performing data de-duplication, transcribing audio recordings or researching data details. Traditionally, tasks like this have been accomplished by hiring a large temporary workforce (which is time consuming, expensive and difficult to scale) or have gone undone.

MTurk aims to make accessing human intelligence simple, scalable, and cost-effective. Businesses or developers needing tasks done (called Human Intelligence Tasks or “HITs”) can use the robust MTurk API to access thousands of high quality, global, on-demand Workers—and then programmatically integrate the results of that work directly into their business processes and systems. MTurk enables developers and businesses to achieve their goals more quickly and at a lower cost than was previously possible.


বৈশ্বিক ইন্টারনেট সংযোগ ১০ হাজার কোটিতে পৌঁছবে

২০২৫ সাল নাগাদ বিশ্বব্যাপী ব্যক্তিগত স্মার্ট ডিভাইস প্রায় চার হাজার কোটিতে পৌঁছবে। একই সময়ে বিশ্বে ইন্টারনেট সংযোগ ১০ হাজার কোটির মাইলফলক স্পর্শ করবে। এসব ইন্টারনেট সংযোগের মূল উত্স হবে শিল্প ইন্টারনেট। চীনা ইলেকট্রনিকস জায়ান্ট হুয়াওয়ে প্রকাশিত এক প্রতিবেদনে এমন তথ্যই উঠে এসেছে। খবর ইন্দো-এশিয়ান নিউজ সার্ভিস।

হুয়াওয়ের পূর্বাভাসে বলা হয়েছে, ২০২৫ সালের মধ্যে পরিবহন শিল্পে কৃত্রিম বুদ্ধিমত্তা (এআই) প্রযুক্তির ব্যবহার ব্যাপকভাবে বাড়বে। এ সময়ে ৬০ শতাংশের বেশি গাড়ি ফাইভজি নেটওয়ার্কে সংযুক্ত থাকবে ও নতুন গাড়িগুলোয় ইন্টারনেট সংযোগ থাকবে।

হুয়াওয়ের প্রতিবেদনে বলা হয়েছে, এআই শিল্পগুলোতে নতুন মাত্রা যোগ করবে। ওই সময়ের মধ্যে উচ্চগতির ইন্টারনেট সংযোগ, ইন্টারনেট অব থিংস (আইওটি) ও এআইভিত্তিক ক্লাউড শিল্পের উন্নয়নে গুরুত্বপূর্ণ ভূমিকা রাখবে। সে সময় শহরাঞ্চলে এআইয়ের ব্যবহার বাড়বে, যা দিয়ে নগর পরিকল্পনায় যুক্ত ব্যক্তিরা নিরাপত্তা ব্যবস্থা, পরিবহনসহ বিভিন্ন খাতে টেকসই উন্নয়নে নতুন পথ খুঁজে পাবেন। এর ফলে শহরের বাসিন্দারা নিরাপদ ও স্বাচ্ছন্দ্যময় জীবনযাপন লাভের সুযোগ পাবেন।


Bangladesh-born Mahmooda Sultana named NASA Goddard Innovator of the Year

NASA Research Engineer Mahmooda Sultana has been named the 2017 ‘IRAD Innovator of the Year’ by the NASA Goddard Space Flight Center.

The annual award is bestowed on “those who achieve significant results creating technologies” in the Internal Research and Development, or IRAD, programme.

The organisation funds and manages the breakthrough technological developments that could advance NASA’s goals of scientific advancement, exploration and helping others.

“Mahmooda has distinguished herself as a tenacious, creative thinker, impressing virtually everyone with her technical acumen and drive,” Goddard Chief Technologist Peter Hughes said in a statement.

“In her relatively short time here, she has successfully competed for 10 awards under our IRAD programme, compiling an impressive list of accomplishments, including the creation of advanced sensors for which a patent is pending,” he said.

“Perhaps most notable is her emergence as one of NASA’s experts in nanotechnology. I can only imagine what she’ll do in the future. She embodies the very essence of innovation.”

Sultana’s ‘groundbreaking’ work on nanomaterials and processes to make detectors and device that could have ‘revolutionary’ uses in space, the NASA Goddard Space Flight Center said.

Sultana took the lead in developing grapheme based sensors soon after she joined NASA in 2010. Graphene is a one atom thick material made of carbon atoms arranged in tight hexagons and is 200 times stronger than structural steel and highly sensitive and stable at extreme temperatures.

“When I came to NASA Goddard in 2010, no one at the centre was doing substantial work on graphene, but there was a lot of excitement,” Sultana explained.

“Everything was still at a very early stage; people around the world were coming up with new applications of graphene every day. I wanted to explore what graphene had to offer for space applications.”

Sultana and her team are also working on a number of other projects, including collaborations with Massachusetts Institute of Technology, or MIT to develop a quantum-dot technology prototype image spectrometer and the manufacture of a multifunctional sensor platform of different materials in collaboration with Northeastern University.

“She is a real go-getter,” said Senior Technologist for Strategic Integration at Goddard’s Office of the Chief Technologist Ted Swanson.

“Mahmooda always has stayed current with new developments. She leverages the expertise of her colleagues, constantly looks for ways to advance the readiness of our technologies, and isn’t afraid to seek vehicles for financial support — the hallmark of a successful innovator.”


« on: April 23, 2018, 11:23:25 AM »

Published by: United Nations Conference on Trade and Development (UNCTAD)


10 Powerful Examples Of Artificial Intelligence In Use Today

The machines haven't taken over. Not yet at least. However, they are seeping their way into our lives, affecting how we live, work and entertain ourselves. From voice-powered personal assistants like Siri and Alexa, to more underlying and fundamental technologies such as behavioral algorithms, suggestive searches and autonomously-powered self-driving vehicles boasting powerful predictive capabilities, there are several examples and applications of artificial intellgience in use today.

However, the technology is still in its infancy. What many companies are calling A.I. today, aren't necessarily so. As a software engineer, I can claim that any piece of software has A.I. due to an algorithm that responds based on pre-defined multi-faceted input or user behavior. That isn't necessarily A.I.

A true artificially-intelligent system is one that can learn on its own. We're talking about neural networks from the likes of Google's DeepMind, which can make connections and reach meanings without relying on pre-defined behavioral algorithms. True A.I. can improve on past iterations, getting smarter and more aware, allowing it to enhance its capabilities and its knowledge.

That type of A.I., the kind that we see in wonderful stories depicted on television through the likes of HBO's powerful and moving series, Westworld, or Alex Garland's, Ex Machina, are still way off. We're not talking about that. At least not yet. Today, we're talking about the pseudo-A.I. technologies that are driving much of our voice and non-voice based interactions with the machines -- the machine-learning phase of the Digital Age.

While companies like Apple, Facebook and Tesla rollout ground-breaking updates and revolutionary changes to how we interact with machine-learning technology, many of us are still clueless on just how A.I. is being used today by businesses both big and small. How much of an effect will this technology have on our future lives and what other ways will it seep into day-to-day life? When A.I. really blossoms, how much of an improvement will it have on the current iterations of this so-called technology?

A.I. And Quantum Computing

The truth is that, whether or not true A.I. is out there or is actually a threat to our existence, there's no stopping its evolution and its rise. Humans have always fixated themselves on improving life across every spectrum, and the use of technology has become the vehicle for doing just that. And although the past 100 years have seen the most dramatic technological upheavals to life than in all of human history, the next 100 years is set to pave the way for a multi-generational leap forward.

This will be at the hands of artificial intelligence. A.I. will also become smarter, faster, more fluid and human-like thanks to the inevitable rise of quantum computing. Quantum computers will not only solve all of life's most complex problems and mysteries regarding the environment, aging, disease, war, poverty, famine, the origins of the universe and deep-space exploration, just to name a few, it'll soon power all of our A.I. systems, acting as the brains of these super-human machines.

However, quantum computers hold their own inherent risks. What happens after the first quantum computer goes online, making the rest of the world's computing obsolete? How will existing architecture be protected from the threat that these quantum computers pose? Considering that the world lacks any formidable quantum resistant cryptography (QRC), how will a country like the United States or Russia protect its assets from rogue nations or bad actors that are hellbent on using quantum computers to hack the world's most secretive and lucrative information?

In a conversation with Nigel Smart, founder of Dyadic Security and Vice President of the International Association of Cryptologic Research, a Professor of Cryptology at the University of Bristol and an ERC Advanced Grant holder, he tells me that quantum computers could still be about 5 years out. However, when the first quantum computer is built, Smart tells me that:

"...all of the world's digital security is essentially broken. The internet will not be secure, as we rely on algorithms which are broken by quantum computers to secure our connections to web sites, download emails and everything else. Even updates to phones, and downloading applications from App stores will be broken and unreliable. Banking transactions via chip-and-PIN could [also] be rendered insecure (depending on exactly how the system is implemented in each country)."

Clearly, there's no stopping a quantum computer led by a determined party without a solid QRC. While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands.

Applications of Artificial Intelligence In Use Today

Beyond our quantum-computing conundrum, today's so-called A.I. systems are merely advanced machine learning software with extensive behavioral algorithms that adapt themselves to our likes and dislikes. While extremely useful, these machines aren't getting smarter in the existential sense, but they are improving their skills and usefulness based on a large dataset. These are some of the most popular examples of artificial intelligence that's being used today.

#1 -- Siri

Everyone is familiar with Apple's personal assistant, Siri. She's the friendly voice-activated computer that we interact with on a daily basis. She helps us find information, gives us directions, add events to our calendars, helps us send messages and so on. Siri is a pseudo-intelligent digital personal assistant. She uses machine-learning technology to get smarter and better able to predict and understand our natural-language questions and requests.

#2 -- Alexa

Alexa's rise to become the smart home's hub, has been somewhat meteoric. When Amazon first introduced Alexa, it took much of the world by storm. However, it's usefulness and its uncanny ability to decipher speech from anywhere in the room has made it a revolutionary product that can help us scour the web for information, shop, schedule appointments, set alarms and a million other things, but also help power our smart homes and be a conduit for those that might have limited mobility.

#3 -- Tesla

If you don't own a Tesla, you have no idea what you're missing. This is quite possibly one of the best cars ever made. Not only for the fact that it's received so many accolades, but because of its predictive capabilities, self-driving features and sheer technological "coolness." Anyone that's into technology and cars needs to own a Tesla, and these vehicles are only getting smarter and smarter thanks to their over-the-air updates.

#4 -- Cogito

Originally co-founded by CEO, Joshua Feast and, Dr. Sandy Pentland, Cogito is quite possibly one of the most powerful examples of behavioral adaptation to improve the emotional intelligence of customer support representatives that exists on the market today. The company is a fusion of machine learning and behavioral science to improve the customer interaction for phone professionals. This applies to millions upon millions of voice calls that are occurring on a daily basis.

#5 -- Boxever

Boxever, co-founded by CEO, Dave O’Flanagan, is a company that leans heavily on machine learning to improve the customer's experience in the travel industry and deliver 'micro-moments,' or experiences that delight the customers along the way. It's through machine learning and the usage of A.I. that the company has dominated the playing field, helping its customers to find new ways to engage their clients in their travel journeys.

#6 -- John Paul

John Paul, a highly-esteemed luxury travel concierge company helmed by its astute founder, David Amsellem, is another powerful example of potent A.I. in the predictive algorithms for existing-client interactions, able to understand and know their desires and needs on an acute level. The company powers the concierge services for millions of customers through the world's largest companies such as VISA, Orange and Air France, and was recently acquired by Accor Hotels.

#7 --

Amazon's transactional A.I. is something that's been in existence for quite some time, allowing it to make astronomical amounts of money online. With its algorithms refined more and more with each passing year, the company has gotten acutely smart at predicting just what we're interested in purchasing based on our online behavior. While Amazon plans to ship products to us before we even know we need them, it hasn't quite gotten there yet. But it's most certainly on its horizons.

#8 -- Netflix

Netflix provides highly accurate predictive technology based on customer's reactions to films. It analyzes billions of records to suggest films that you might like based on your previous reactions and choices of films. This tech is getting smarter and smarter by the year as the dataset grows. However, the tech's only drawback is that most small-labeled movies go unnoticed while big-named movies grow and balloon on the platform.

#9 -- Pandora

Pandora's A.I. is quite possibly one of the most revolutionary techs that exists out there today. They call it their musical DNA. Based on 400 musical characteristics, each song is first manually analyzed by a team of professional musicians based on this criteria, and the system has an incredible track record for recommending songs that would otherwise go unnoticed but that people inherently love.

#10 -- Nest

Most everyone is familiar with Nest, the learning thermostat that was acquired by Google in January of 2014 for $3.2 billion. The Nest learning thermostat, which, by the way, can now be voice-controlled by Alexa, uses behavioral algorithms to predictively learn from your heating and cooling needs, thus anticipating and adjusting the temperature in your home or office based on your own personal needs, and also now includes a suite of other products such as the Nest cameras.


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