It happens when you least expect it: one minute your hand is functioning as usual, and then next it’s partially numb, but also feels like you’re getting pricked by pins and needles. In other words, your hand fell asleep.
There is more than one way to cook bacon—all of them fine—but baking it in the oven is unrivaled in terms of ease. There’s no splattering grease, no need to watch it closely, and the low-and-slow, even heating of the oven means each strip comes out perfectly crispy end to salty end. You don’t even have to preheat your…
Zippers haven’t changed much since they were first invented, and neither have the problems we all have with them. From stuck zippers to teeth that just won’t clinch, here’s how to fix all the problems you’ll run into with anything that zips.
It’s a novice carpenter’s worst nightmare: you’re trying to tighten or remove a screw, and you find the head is stripped. You press the screwdriver or drill bit into the head and try to turn, but there’s no friction. Try throwing a little back into your screw twists, and if that fails, try these stripped screw removal…
My old jalopy is about to die on me yet again, so it’s time for a new car. I’m wondering if I’d be better off leasing my next car instead of buying it. Which is the better deal, leasing or buying with an auto loan?
Wifi is one of the most important developments in the evolution of the internet—no one wants to be chained to a desktop—but it’s also one of the most frustrating. If you’re plagued by slow speeds, bad reception, and other wifi issues, here are 10 ways you can power up the wifi in your home.
Hitting the streets to make your voice heard is a fundamental right in the United States, and it’s part of our country’s lifeblood. Whether you’re headed out in support or dissent, you should know what you’re getting into before you go. Even if you think the event is purely peaceful, someone else, another protest…
Rainmeter is a powerful tool that lets you create a beautiful, information-rich heads-up display that keeps track of your system status, RSS feeds, and tons of other info. Here’s how to use it to make an awesome, Iron Man-like HUD for your Windows desktop.
Chris O’Conner, IBM’s General Manager for Internet of Things Offerings, has been involved with connected devices for almost 25 years. As a result, he has a unique view on the emergence of the Internet of Things (IoT), what it means for the future, and what we can learn from previous generations of technology.
We sat down with him as he prepared for IoT Slam to hear more and what he plans to talk about at the event.
ReadWrite: So as the General Manager for IoT, what does this mean for IBM?
Chris O’Conner: So for us at IBM it’s been a journey of experimenting with the IoT data, all these connected assets, And the early work that we did around Smart Planet. It proved that it was controlled, but the ability to do it in mass wasn’t quite there yet, and now we move to where we are
Robots have become commonplace in many aspects of life including health care, military and security work. Yet until recently little thought has been given outside of academic circles to the ethics of robots.
Silicon Valley Robotics recently launched a Good Robot Design Council — which has launched “5 Laws of Robotics” guidelines for roboticists and academics — on the ethical creation, marketing and use of robots in everyday life. The laws state:
Robots should not be designed as weapons.
Robots should comply with existing law, including privacy.
Robots are products; they should be safe, reliable and not misrepresent their capabilities.
Robots are manufactured artifacts; the illusion of emotions and agency should not be used to exploit vulnerable users.
It should be possible to find out who is responsible for any robot.
Twenty years ago I was approached by a vending machine company that wanted to remotely monitor and record the temperature of their vending machine compartments to the nearest tenth of a degree. I understand that no one wants a warm soda, but the data the company wanted to record was more granular than necessary to solve their problem. The vending machine only needed to communicate whether it was above or below the recommended serving temperature of 38℉; measuring to the nearest tenth of a degree was overkill. We encoded the vending machine’s data in a much smaller size, which saved the vending machine company money on data rates while still giving the customer a cold soda.
I share this story to highlight a question decision makers for industrial, civic, and commercial Internet of Things (IoT) should be asking themselves: is it worth paying to collect and transmit data that is
While we read about the gender gap in technology almost every day, it’s worth championing a sector that seems to have a strong showing of talented women in tech – the wearables industry.
Women have an extensive history in the wearables field: There’s Leah Buechley, inventor of the Lily Pad Arduino; academics like Dr. Rosalind Picard, founder, and director of the Affective Computing research group at the MIT Media Lab; Corinne Vigreux, founder, and COO, TomTom; and Ivy Ross, Vice President, Head of Design/User Experience for all Hardware Products at Google.
Wouldn’t life be so much easier if you didn’t have to lock the front door of your business when you went home at night? You’d never have to worry about losing your keys. Or, maybe the property owner could hang onto your keys for you. You would then rely on the building manager to unlock the door for you every morning and to lock up again when you leave.
Obviously, both scenarios are ridiculous and no business would seriously consider either. Yet if that’s true, why do so many businesses allow their IT organizations to operate from day to day without bothering to “lock up” and secure their digital assets, whether they’re housed on premises, or in the cloud?
Industrial operators already have mountains of data and its only getter bigger. A recent report by GE and Accenture found that for 80 to 90 percent of companies, Big Data analytics is among the top three priorities, and 76 percent expect their investment to increase over the next year. Data holds powerful answers for industries across the spectrum — from energy to health care to transportation and beyond — to increase productivity, improve the customer experience and open doors to new technologies and revenue streams.
To get there, we need more than just data collection. Industry needs to be able to use data better and faster for smarter operating decisions, which is the promise of the Industrial Internet of Things. The pathway to this next stage of industrial productivity is through the individual machines from wind turbines to MRI machines to turbines, and more specifically through their control devices.
Transportation has been vastly underfunded in the past two decades, according to most Democrats in the House and Senate. President Obama tried to raise taxes on oil imports and gas usage to fund transportation projects, but Congress has been a stone wall, refusing to raise taxes or spend more on infrastructure.
You would think under Republican President-elect Donald Trump, things are about to get worse, but the billionaire businessman has advocated for more infrastructure spending throughout his campaign.
In his announcement speech, Trump spoke about the need to spend more on our infrastructure: “We have to rebuild our infrastructure. Our bridges, our roadways, our airports.” Trump also lambasted Hillary Clinton’s infrastructure plans, which included $500 billion in spending and loans, saying more is needed.
The Centre for Urban Science and Progress at New York University has recently released the findings from a smart city pilot study. It’s the first in-depth analysis of a local New York Neighborhood intent on measuring the quantified community. They utilized IoT sensors to collect and analyze quality-of-life measurements at high spatial and temporal resolution in the neighborhood of Red Hook, Brooklyn.
Red Hook is an economically disadvantaged neighborhood. There is no subway service, only a few Internet hot spots and close to 70 percent of the population lives in New York City housing projects. Residents experience an asthma rate of more than 2.5 times that of the national average and more than a third live below the federal poverty line. The life expectancy of residents in Red Hook is 10 years lower than the national average. Red Hill was significantly affected by flooding caused by Hurricane Sandy in
A new study predicts that smart cities will be going green in a big way over the next five years, driven by international efforts to reduce carbon emissions.
A new report from research firm Gartner predicted smart cities will move the sustainability file forward in line with the carbon reducing Paris COP21 deal.
COP21 was signed on by 195 countries and seeks to substantially curb greenhouse emissions by cities.
In light of this, Gartner expects that at least half of global smart cities will use climate change, sustainability and resilience as key performance indicators by 2020.
“With the Horizon 2020 goals of energy efficiency, carbon emission reductions and renewable energy in mind, many cities in Europe have launched energy sustainability, resource management, social inclusion and community prosperity initiatives,” said Gartner research vice president Bettina Tratz-Ryan.
One of the latest trends in the world of technology and engineering is “machine learning” — in fact, all of the big technology companies today have invested in artificial intelligence and machine learning projects.
The term “machine learning” was first defined by Arthur Samuel, way back in 1959. He defined it as “the ability to learn without being explicitly programmed,” which basically means that a machine could learn from its own mistakes and reprogram itself to improve its performance over time.
The idea gained popularity in the 90s when the concept of data mining came into existence. Data mining uses algorithms to look for patterns in a given set of information, which led to data-driven predictions and decision making. This encouraged engineers to develop complex machine learning algorithms by making use of data mining and predictive analytics.
Innovations that are driving business advantage
Today, machine learning algorithms are already being
According to Lux Research, investors have invested $4.3 billion into the development of sensors over the past ten years. However it’s the pattern of the 28,927 sensor patents that were given since 1975 that actually unveils the value and potential of these patents.
Lux Research studied patent trends for five kinds of sensors. These included physical, gas and chemical, environmental, vital signs and biometric ones. These were studied across five value groups: automotive, food and agriculture, medical, consumer, and building and industrial, in order to pinpoint markets that were growing and markets that are already overly competitive.
The studies show that sensor patents targeted at consumer electronics and medical device industries have the least entry barriers, whereas those patented for automotive, and building and industrial use have the biggest barriers.