31
Software Engineering / Re: Bangladesh can benefit from blockchain technology
« on: April 16, 2019, 07:44:20 PM »
Thanks for sharing 
News:
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32
Software Engineering / Re: 30 Non-Financial Use Cases of Blockchain Technology
« on: April 16, 2019, 07:43:36 PM »
Thanks for sharing
33
Software Engineering / Re: ‘Smart farming’ plows ahead in Japan
« on: April 16, 2019, 07:43:05 PM »
Informative
34
Software Engineering / Re: China moon rover wakes from nap
« on: April 16, 2019, 07:42:39 PM »
Thanks for sharing
35
Software Engineering / Re: Japanese satellite launched to deliver artificial meteors
« on: April 16, 2019, 07:42:06 PM »
Informative
36
Software Engineering / Re: Scientists redefine the kilogram
« on: April 16, 2019, 07:41:37 PM »
Nice and informative mam
37
Software Engineering / Re: Facebook is about to start investing in local news
« on: March 25, 2019, 04:40:05 PM »
Informative. Thank for Sharing Sir....
38
Machine Learning/ Deep Learning / Re: An Introduction to Transfer Learning in Machine Learning
« on: March 25, 2019, 04:37:05 PM »
Informative. Thank for Sharing Sir....
39
Machine Learning/ Deep Learning / Re: Transfer Learning
« on: March 25, 2019, 04:36:28 PM »
Informative. Thank for Sharing Sir....
40
Machine Learning/ Deep Learning / Re: R tutorial: How to import data into R
« on: March 25, 2019, 04:35:32 PM »
Thank for Sharing Sir....
41
Robotics and Embedded Systems / Researchers develop an origami-inspired robot hand with a gentle touch
« on: March 20, 2019, 06:19:49 PM »
Researchers at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Harvard have found a novel solution to the problem of building a robot that's strong enough to lift an object several times its own weight, but gentle enough not to crush something fragile.
The result is a robot 'hand' with a folding structure that collapses around an object to hold it securely (like a Venus flytrap trapping an insect).
This flexible design and gentle grip let it grasp a wide range of objects without damaging them, and it's strong enough to keep a firm hold on objects 100 times its own weight.
The best robot toys of 2019
This month's best robot vacuum cleaner deals
How Anki builds robots with personality
Many multi-purpose grippers use fingers made from a flexible material like rubber. These can cope with objects of different sizes and shapes, but are unable to hold onto bulky or heavy objects.
Read more:
https://www.techradar.com/news/researchers-develop-an-origami-inspired-robot-hand-with-a-gentle-touch
The result is a robot 'hand' with a folding structure that collapses around an object to hold it securely (like a Venus flytrap trapping an insect).
This flexible design and gentle grip let it grasp a wide range of objects without damaging them, and it's strong enough to keep a firm hold on objects 100 times its own weight.
The best robot toys of 2019
This month's best robot vacuum cleaner deals
How Anki builds robots with personality
Many multi-purpose grippers use fingers made from a flexible material like rubber. These can cope with objects of different sizes and shapes, but are unable to hold onto bulky or heavy objects.
Read more:
https://www.techradar.com/news/researchers-develop-an-origami-inspired-robot-hand-with-a-gentle-touch
42
Robotics and Embedded Systems / This robot brain can teach other machines to pick up unknown objects
« on: March 20, 2019, 06:18:31 PM »
With all the progress we've seen in artificial intelligence over the last few years, you could say that machines are getting smarter all the time.
Even so, most of the robots in our factories still require a fair amount of preprogramming for them to recognize the objects they handle.
That could soon be a thing of the past as researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a system that allows robots to identify, pick up, and handle objects they haven't encountered before.
The best robot toy gifts 2019
The best robot vacuums of 2019
How to make a robot with real personality
According to The Robot Report, "the team’s major insight was to look at objects as collections of 3D keypoints that double as a sort of “visual roadmap.”
to read more:
https://www.techradar.com/news/this-robot-brain-can-teach-other-machines-to-pick-up-unknown-objects
Even so, most of the robots in our factories still require a fair amount of preprogramming for them to recognize the objects they handle.
That could soon be a thing of the past as researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a system that allows robots to identify, pick up, and handle objects they haven't encountered before.
The best robot toy gifts 2019
The best robot vacuums of 2019
How to make a robot with real personality
According to The Robot Report, "the team’s major insight was to look at objects as collections of 3D keypoints that double as a sort of “visual roadmap.”
to read more:
https://www.techradar.com/news/this-robot-brain-can-teach-other-machines-to-pick-up-unknown-objects
43
Internet of Things / What is the IoT? Everything you need to know
« on: March 20, 2019, 06:17:01 PM »
What is the IoT?
The world around us is getting smarter and more connected as technology becomes a common sight in many areas.
Digital devices are not just in our pockets or our offices, but increasingly in our homes, buildings, and many places and cities. Helping collect, analyse and monitor data and information about their surroundings, these devices are able to communicate with each other through the ‘Internet of Things’.
Often shortened to the IoT, this worldwide, interconnected network allows devices to talk to each other and to us, delivering reams of data through smarter processes that will greatly increase the quality of life around the world.
The Internet of Things is predicted to revolutionise the way in which we live our lives, with many industry experts tipping it to have the biggest technological impact since cloud computing, as more data than ever before can be collected, stored and analysed.
To read more, Visit:
https://www.techradar.com/news/what-is-the-iot-everything-you-need-to-know
The world around us is getting smarter and more connected as technology becomes a common sight in many areas.
Digital devices are not just in our pockets or our offices, but increasingly in our homes, buildings, and many places and cities. Helping collect, analyse and monitor data and information about their surroundings, these devices are able to communicate with each other through the ‘Internet of Things’.
Often shortened to the IoT, this worldwide, interconnected network allows devices to talk to each other and to us, delivering reams of data through smarter processes that will greatly increase the quality of life around the world.
The Internet of Things is predicted to revolutionise the way in which we live our lives, with many industry experts tipping it to have the biggest technological impact since cloud computing, as more data than ever before can be collected, stored and analysed.
To read more, Visit:
https://www.techradar.com/news/what-is-the-iot-everything-you-need-to-know
44
Department of Innovation & Entrepreneurship / Why Companies Fail—and How Their Founders Can Bounce Back
« on: March 20, 2019, 05:56:29 PM »
Most companies fail. It's an unsettling fact for bright-eyed entrepreneurs, but old news to start-up veterans.
But here's the good news: Experienced entrepreneurs know that running a company that eventually fails can actually help a career, but only if the executives are willing to view failure as a potential for improvement.
The statistics are disheartening no matter how an entrepreneur defines failure. If failure means liquidating all assets, with investors losing most or all the money they put into the company, then the failure rate for start-ups is 30 to 40 percent, according to Shikhar Ghosh, a senior lecturer at Harvard Business School who has held top executive positions at some eight technology-based start-ups. If failure refers to failing to see the projected return on investment, then the failure rate is 70 to 80 percent. And if failure is defined as declaring a projection and then falling short of meeting it, then the failure rate is a whopping 90 to 95 percent.
"Very few companies achieve their initial projections," says Ghosh. "Failure is the norm."
Why Start-ups Fail
Start-ups often fail because founders and investors neglect to look before they leap, surging forward with plans without taking the time to realize that the base assumption of the business plan is wrong. They believe they can predict the future, rather than try to create a future with their customers. Entrepreneurs tend to be single-minded with their strategies—wanting the venture to be all about the technology or all about the sales, without taking time to form a balanced plan.
“IN SILICON VALLEY, THE FACT THAT YOUR ENTERPRISE HAS FAILED IS ACTUALLY A BADGE OF HONOR.”
And all too often, they do not give themselves wiggle room to pivot midstream if the initial idea doesn't jibe with customer demand.
"Instead of going into the venture with a broad hypothesis, they commit in ways that don't allow them to change," Ghosh says. He cites as an example the failed dot-com-era grocer Webvan, which bought warehouses all over the United States before realizing that there was not enough customer demand for its grocery delivery service.
Next, there's the matter of timing, a huge issue that can determine whether a company gets funding and whether it achieves the start-up's elusive measure of success: an exit that involves going public or getting bought.
During the Internet boom, companies armed with nothing more than a PowerPoint presentation of a lousy idea could secure tens of millions of dollars—which sometimes gave them enough time to figure out a viable business plan through trial and error. Eventually successful companies such as Netscape and Open Market went through several business models before finding one that worked. But the opposite was true after the boom; a company could have a great idea and a great team, but still fail to achieve traction due to lack of funding and, consequently, lack of time to let a good model mature. (These days, Ghosh says, if start-ups often manage to secure a good team and good financing, they face dozens of lower-cost competitors and fragmented customer demand.)
Funding has the potential to turn a little failure into an enormous one.
"The predominant cause of big failures versus small failures is too much funding," Ghosh says. "What funding does is cover up all the problems that a company has. It covers up all the mistakes, it enables the company and management to focus on things that aren't important to the company's success and ignore the things that are important. This lets management rationalize away the proverbial problem of the dogs not eating the dog food. When you don't have money you reformulate the dog food so that the dogs will eat it. When you have a lot of money you can afford to argue that the dogs should like the dog food because it is nutritious."
Enterprise Failure Can Be An Asset, But Personal Failure Is Ruinous
Still, stubborn entrepreneurs continue to found companies, in spite of the failure rates, which raises the question of why. It's not as if any of them harbored childhood dreams of launching a search engine optimization software firm.
Sometimes this is due to naïveté and hubris—the notion that their idea simply cannot fail. But savvy entrepreneurs know that running a company that eventually fails can actually help a career. Even failed businesses yield future networking opportunities with venture capitalists and relationships with other entrepreneurs whose companies are succeeding. Ghosh says boards of successful companies often seek out the founders and CEOs of failed companies because they value experience over a clean slate. After all, Henry Ford, Steve Jobs, and Desh Deshpande experienced multiple failures before achieving success.
To read more, Please visit the link:
https://hbswk.hbs.edu/item/why-companies-failand-how-their-founders-can-bounce-back
But here's the good news: Experienced entrepreneurs know that running a company that eventually fails can actually help a career, but only if the executives are willing to view failure as a potential for improvement.
The statistics are disheartening no matter how an entrepreneur defines failure. If failure means liquidating all assets, with investors losing most or all the money they put into the company, then the failure rate for start-ups is 30 to 40 percent, according to Shikhar Ghosh, a senior lecturer at Harvard Business School who has held top executive positions at some eight technology-based start-ups. If failure refers to failing to see the projected return on investment, then the failure rate is 70 to 80 percent. And if failure is defined as declaring a projection and then falling short of meeting it, then the failure rate is a whopping 90 to 95 percent.
"Very few companies achieve their initial projections," says Ghosh. "Failure is the norm."
Why Start-ups Fail
Start-ups often fail because founders and investors neglect to look before they leap, surging forward with plans without taking the time to realize that the base assumption of the business plan is wrong. They believe they can predict the future, rather than try to create a future with their customers. Entrepreneurs tend to be single-minded with their strategies—wanting the venture to be all about the technology or all about the sales, without taking time to form a balanced plan.
“IN SILICON VALLEY, THE FACT THAT YOUR ENTERPRISE HAS FAILED IS ACTUALLY A BADGE OF HONOR.”
And all too often, they do not give themselves wiggle room to pivot midstream if the initial idea doesn't jibe with customer demand.
"Instead of going into the venture with a broad hypothesis, they commit in ways that don't allow them to change," Ghosh says. He cites as an example the failed dot-com-era grocer Webvan, which bought warehouses all over the United States before realizing that there was not enough customer demand for its grocery delivery service.
Next, there's the matter of timing, a huge issue that can determine whether a company gets funding and whether it achieves the start-up's elusive measure of success: an exit that involves going public or getting bought.
During the Internet boom, companies armed with nothing more than a PowerPoint presentation of a lousy idea could secure tens of millions of dollars—which sometimes gave them enough time to figure out a viable business plan through trial and error. Eventually successful companies such as Netscape and Open Market went through several business models before finding one that worked. But the opposite was true after the boom; a company could have a great idea and a great team, but still fail to achieve traction due to lack of funding and, consequently, lack of time to let a good model mature. (These days, Ghosh says, if start-ups often manage to secure a good team and good financing, they face dozens of lower-cost competitors and fragmented customer demand.)
Funding has the potential to turn a little failure into an enormous one.
"The predominant cause of big failures versus small failures is too much funding," Ghosh says. "What funding does is cover up all the problems that a company has. It covers up all the mistakes, it enables the company and management to focus on things that aren't important to the company's success and ignore the things that are important. This lets management rationalize away the proverbial problem of the dogs not eating the dog food. When you don't have money you reformulate the dog food so that the dogs will eat it. When you have a lot of money you can afford to argue that the dogs should like the dog food because it is nutritious."
Enterprise Failure Can Be An Asset, But Personal Failure Is Ruinous
Still, stubborn entrepreneurs continue to found companies, in spite of the failure rates, which raises the question of why. It's not as if any of them harbored childhood dreams of launching a search engine optimization software firm.
Sometimes this is due to naïveté and hubris—the notion that their idea simply cannot fail. But savvy entrepreneurs know that running a company that eventually fails can actually help a career. Even failed businesses yield future networking opportunities with venture capitalists and relationships with other entrepreneurs whose companies are succeeding. Ghosh says boards of successful companies often seek out the founders and CEOs of failed companies because they value experience over a clean slate. After all, Henry Ford, Steve Jobs, and Desh Deshpande experienced multiple failures before achieving success.
To read more, Please visit the link:
https://hbswk.hbs.edu/item/why-companies-failand-how-their-founders-can-bounce-back
45
Software Engineering / 7 Technology Trends That Will Dominate 2018
« on: February 12, 2019, 06:05:08 PM »
Regardless of whether you’re a diehard tech fanatic, always after the latest devices, or a laid-back “average” consumer, if you’re like me, you can’t help but look forward to the tech developments and trends that lie ahead. After a year with surprisingly high sales for smart speakers and virtual reality, as well as the debut of several new phones and tablets, I’ve spent the last several weeks looking ahead to the possible trends that will unfold in 2018.
As a marketer, my perspective often turns to how we can use these new technologies and trends to better communicate and connect with our audiences, but general tech trends hold much more potential than that—they have the capacity to change how we live and interact with each other.
So what will the biggest tech trends of 2018 be, and how will our lives change, accordingly?
1. AI permeation. Artificial intelligence (AI), largely manifesting through machine learning algorithms, isn’t just getting better. It isn’t just getting more funding. It’s being incorporated into a more diverse range of applications. Rather than focusing on one goal, like mastering a game or communicating with humans, AI is starting to make an appearance in almost every new platform, app, or device, and that trend is only going to accelerate in 2018. We’re not at techno-pocalypse levels (and AI may never be sophisticated enough for us to reach that point), but by the end of 2018, AI will become even more of a mainstay in all forms of technology.
2. Digital centralization. Over the past decade, we’ve seen the debut of many different types of devices, including smartphones, tablets, smart TVs, and dozens of other “smart” appliances. We’ve also come to rely on lots of individual apps in our daily lives, including those for navigation to even changing the temperature of our house. Consumers are craving centralization; a convenient way to manage everything from as few devices and central locations as possible. Smart speakers are a good step in the right direction, but 2018 may influence the rise of something even better.
3. 5G preparation. Though tech timelines rarely play out the way we think, it’s possible that we could have a 5G network in place—with 5G phones—by the end of 2019. 5G internet has the potential to be almost 10 times faster than 4G, making it even better than most home internet services. Accordingly, it has the potential to revolutionize how consumers use internet and how developers think about apps and streaming content. 2018, then, is going to be a year of massive preparation for engineers, developers, and consumers, as they gear up for a new generation of internet.
4. Data overload. By now, every company in the world has realized the awesome power and commoditization of consumer data, and in 2018, data collection is going to become an even higher priority. With consumers talking to smart speakers throughout their day, and relying on digital devices for most of their daily tasks, companies will soon have access to—and start using—practically unlimited amounts of personal data. This has many implications, including reduced privacy, more personalized ads, and possibly more positive outcomes, such as better predictive algorithms in healthcare.
5. White collar automation. Is your job likely to be replaced by a machine? How certain are you of that answer? AI has been advancing enough to replace at least some white collar jobs for years; even back in 2013, we had algorithms that could write basic news articles, given sufficient inputs of data. Is 2018 going to be the year all humans are finally replaced by their new robot overlords? Almost certainly not, but I do think we’ll see the fledgling beginnings of radical job transformations throughout the United States. I think it’s naïve to think that jobs will be fully replaced, but they will be more heavily automated, and we’ll have to adapt our careers accordingly.
6. Seamless conversation. A few years ago, voice search was decent, but unreliable. Today, voice search might as well be flawless; Microsoft’s latest test gives its voice recognition software a 5.1 percent error rate, making it better at recognizing speech than human transcribers. Similarly, robotic speech and chatbots are growing more sophisticated. In 2018, with these improvement cycles continuing, I imagine we’ll see the manifestation or solidification of seamless conversation. We’ll be able to communicate with our devices, both ways, without any major hiccups or mistakes.
7. UI overhauls. I also think 2018 is going to be a major year for UI; we’re going to have to rethink how we interact with our apps and devices. The onset of smart speakers and better voice search has made it so it’s no longer necessary to look at a screen to input data. Desktop devices are becoming less and less used as well, with mobile continuing to take over. New types of visuals and more audible clues will likely be included in next-generation UI, and consumers will adapt to them quickly, so long as they serve their core needs.
It’s hard to say how fast these trends will manifest, or what types of devices and upgrades will dictate their development, but I’m confident we’ll see increased exposure on all these fronts as 2018 develops.
Regardless of how you feel about technology, or your primary motivations for using it, I think we can all be excited about the new gadgets and infrastructure that await us next year.
As a marketer, my perspective often turns to how we can use these new technologies and trends to better communicate and connect with our audiences, but general tech trends hold much more potential than that—they have the capacity to change how we live and interact with each other.
So what will the biggest tech trends of 2018 be, and how will our lives change, accordingly?
1. AI permeation. Artificial intelligence (AI), largely manifesting through machine learning algorithms, isn’t just getting better. It isn’t just getting more funding. It’s being incorporated into a more diverse range of applications. Rather than focusing on one goal, like mastering a game or communicating with humans, AI is starting to make an appearance in almost every new platform, app, or device, and that trend is only going to accelerate in 2018. We’re not at techno-pocalypse levels (and AI may never be sophisticated enough for us to reach that point), but by the end of 2018, AI will become even more of a mainstay in all forms of technology.
2. Digital centralization. Over the past decade, we’ve seen the debut of many different types of devices, including smartphones, tablets, smart TVs, and dozens of other “smart” appliances. We’ve also come to rely on lots of individual apps in our daily lives, including those for navigation to even changing the temperature of our house. Consumers are craving centralization; a convenient way to manage everything from as few devices and central locations as possible. Smart speakers are a good step in the right direction, but 2018 may influence the rise of something even better.
3. 5G preparation. Though tech timelines rarely play out the way we think, it’s possible that we could have a 5G network in place—with 5G phones—by the end of 2019. 5G internet has the potential to be almost 10 times faster than 4G, making it even better than most home internet services. Accordingly, it has the potential to revolutionize how consumers use internet and how developers think about apps and streaming content. 2018, then, is going to be a year of massive preparation for engineers, developers, and consumers, as they gear up for a new generation of internet.
4. Data overload. By now, every company in the world has realized the awesome power and commoditization of consumer data, and in 2018, data collection is going to become an even higher priority. With consumers talking to smart speakers throughout their day, and relying on digital devices for most of their daily tasks, companies will soon have access to—and start using—practically unlimited amounts of personal data. This has many implications, including reduced privacy, more personalized ads, and possibly more positive outcomes, such as better predictive algorithms in healthcare.
5. White collar automation. Is your job likely to be replaced by a machine? How certain are you of that answer? AI has been advancing enough to replace at least some white collar jobs for years; even back in 2013, we had algorithms that could write basic news articles, given sufficient inputs of data. Is 2018 going to be the year all humans are finally replaced by their new robot overlords? Almost certainly not, but I do think we’ll see the fledgling beginnings of radical job transformations throughout the United States. I think it’s naïve to think that jobs will be fully replaced, but they will be more heavily automated, and we’ll have to adapt our careers accordingly.
6. Seamless conversation. A few years ago, voice search was decent, but unreliable. Today, voice search might as well be flawless; Microsoft’s latest test gives its voice recognition software a 5.1 percent error rate, making it better at recognizing speech than human transcribers. Similarly, robotic speech and chatbots are growing more sophisticated. In 2018, with these improvement cycles continuing, I imagine we’ll see the manifestation or solidification of seamless conversation. We’ll be able to communicate with our devices, both ways, without any major hiccups or mistakes.
7. UI overhauls. I also think 2018 is going to be a major year for UI; we’re going to have to rethink how we interact with our apps and devices. The onset of smart speakers and better voice search has made it so it’s no longer necessary to look at a screen to input data. Desktop devices are becoming less and less used as well, with mobile continuing to take over. New types of visuals and more audible clues will likely be included in next-generation UI, and consumers will adapt to them quickly, so long as they serve their core needs.
It’s hard to say how fast these trends will manifest, or what types of devices and upgrades will dictate their development, but I’m confident we’ll see increased exposure on all these fronts as 2018 develops.
Regardless of how you feel about technology, or your primary motivations for using it, I think we can all be excited about the new gadgets and infrastructure that await us next year.