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Artificial Intelligence Is The Gunpowder Of The 21st Century Business

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Internet of Things (IoT) is hot and the question is what next, after it? Artificial Intelligence (AI) is the next step after IoT. With IoT you can control and monitor machines through the Internet, but it stops there. You still need to manually look at your phone to increase your room’s temperature or open an app to turn on your smart lighting system.

With artificial intelligence, the machine itself will figure out when to turn on or modulate devices around you based on your previous interactions with them.

This other side of this is that security and its issues will transform drastically. Today, humans are responsible for most hacks across the planet. However, the day we see artificial intelligence grow past the tipping point, will be they day you see hacks and cyberattacks happening 24 hours a day simultaneously from billions of connected devices.

In the next industrial revolution, the commodity is going to be AI. Any IoT enabled factory or industry can be quickly connected to an AI, which can then go through years of historic data to figure out trends that can drastically improve the efficiency and effectiveness of that production facility. The level of productivity increases or energy efficiency that can be brought in is unimaginable.

Algorithms are domain specific — there is no single set of algorithms for all AI problems. If you take human intelligence, it is not single dimensional. Computers have an arithmetic type of thinking, with pattern recognition and so on, whereas machines have just a single dimension and does not get distracted like humans. With numerous wireless options available today, the amount of raw data coming into an AI can be incredibly high. That will help to improve it capability.

AI will be the gunpowder of the 21st century and will be catalytic in driving industrial production. Now is the time to find how AI can improve your business because it will change everything.

 

Introduction To Accelerometer And Gyroscope

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Check out some of the recent mobile devices, like last year’s iPhone 5S or Galaxy S4, and you will see several new features in them. Any person who has not kept up with technology over the past decade will find these to be magical, and with good reason. Almost all modern ‘smart’ electronic devices around us have accelerometers or gyroscopes, or even both together. Together these enable functionality in devices that make them seem magical to a lay user.

If you are a regular reader of this section, you should be now somewhat familiar with sensors and their functions. However, just to provide a small insight, a sensor is a component or a device that either detects or measures any physical property and indicates, records or responds to it. There are a number of sensors in the market today; however, motion sensors are the ones that are most widely used in applications for their better performance. they detect and measure different types of motions of a device that may further be used as an input to the control system for that particular device. We all are aware of the different types of motions like vibration, rotation, acceleration, etc. All these motion types have a special type of sensor for their detection, like accelerometers are used for the detection of acceleration with a free-fall reference, and gyroscopes are used to detect the orientation of the device directly.

Together, an accelerometer and a gyroscope can provide enough data to detect motion on six axes—up and down, left and right, forward and backward, and roll, pitch and yaw rotations.

What are they?

An accelerometer is a type of sensor that senses the velocity and the motion of a reference mass to track its orientation and movement. It is an electromechanical device that can help a gadget understand its surroundings in a better way.

On the other hand, a gyroscope is a type of sensor that is used to measure and maintain the orientation of a device or of a reference object using the principle of angular velocity. It is another type of motion sensor. It is usually referred to as a ‘gyro’ or an ‘angular velocity sensor’ or an ‘angular rate sensor.’ The angular velocity sensed by the sensor is converted into an electrical signal.

Says T. Anand, promoter and managing director of Knewron, “There are a couple of applications where we have deployed accelerometers. One such application is a security device that is mounted and should remain stationary under normal conditions. However, in case someone tries to tamper with it, even slightest movement or vibration would be sensed and the device would come into action. Another application is for special-purpose objects that would be deployed in events, and these objects would sense movement or activity done by the user. Depending upon the activity, user updates would be registered on his social profiles.”

Parameters to select an accelerometer and a gyroscope

Each component or a device has some parameters based on which it is selected. Now identification of those parameters becomes difficult when there are ‘n’ number of similar products in the market, highlighting different parameters. Following is the list that would help us identify the correct parameters to select an accelerometer:

1. Analogue/digital output. An accelerometer with an analogue output provides a continuous voltage that is proportional to the acceleration, whereas in an accelerometer with digital output, the amount of time is high and will be proportional to the amount of acceleration.

2. Dynamic range. It is the maximum amplitude measured by an accelerometer before it distorts or clips the output signal. It is specified in g’s.

3. Sensitivity. It is the scale factor of a sensor that is measured in terms of change in output signal for every change in the input measured. It is measured in mV/gm.

4. Frequency response. It measures the limit of the frequency for the sensor-detected motion and the reported output. It is measured in hertz (Hz).

5. Sensitivity axis. The inputs detected by the accelerometers are always in reference to an axis. Single-axis accelerometers can detect inputs only along one plane whereas tri-axis accelerometers can detect inputs from any direction. So the tri-axis accelerometers are used in most of the applications.

6. Size and mass. Both the size and the mass of an accelerometer should be small as compared to that of the system to be monitored, otherwise it can affect and also change the characteristics of the object that is being tested.

The micro-electro-mechanical sensor (MEMS) accelerometer is special as compared to other accelerometers owing to its capability and small size. “The parameters to select an MEMS accelerometer are power consumption, sensitivity to ‘g’ force, ADC bit size, device calibration, axis support and presence of internal FIFO data buffer. Newer accelerometers support additional features such as free-fall detection, motion detection, gesture control and orientation detection algorithms, so designers can exploit these features depending on the application requirements,” says Avinash Babu, senior project manager, Embedded Systems, Mistral Solutions.

So some points on the basis of which a gyroscope can be selected are:

Measurement range. It specifies the maximum angular speed measured by the gyro sensor. It is measured in degrees per second (°/sec).

Number of sensing axes. A gyroscope can measure angular rotation either in one, two or three axes; however, a multi-axis gyro has multiple single-axis gyros that are oriented orthogonally to one another.

Non-linearity. It specifies the closeness of the output voltage to linearity and is proportional to the actual angular rate. It is measured either as an error in percentage or in parts per million (ppm).

Shock survivability. Since both the linear and angular rotations occur in a gyroscope, it is necessary to check the force it can withstand without falling. However, a gyroscope is expected to withstand very large shocks (measured in g’s) without breaking.

Bandwidth. It is the number of measurements made in one second. It is quoted in hertz (Hz).

Angular random walk (ARW). It is the measurement of gyro noise in deg/hour1/2 or deg/sec1/2.

Bias instability. It measures the goodness of a gyro in degrees per hour (°/hr).

Challenges faced by the design engineers

Technology brings challenges and the designers have to overcome all these in order to create something new. Babu says, “Placement of a sensor on the PCB is very crucial and is often overlooked. For optimal motion detection, a sensor needs to be placed away from the centre of the device, which helps to ensure better acceleration readings and makes them more significant in the detection of smaller motions from a higher moment of inertia than when they are placed right on the centre of the movement.

“Care must be taken to ensure that the package is not stressed by holes, or components on the PCB are not placed too close to the accelerometer. It is important to place the sensor where it is not vulnerable to be pushed or otherwise affected directly by the user’s hands. It is good to avoid placing the sensor near components that may have large temperature variations, or that are constantly very hot, as this will affect the offset of the sensor.”

“Footprint of the sensor, supply current and cost need to be minimal in all consumer applications. Functional safety and reliability of the sensor in vast operating conditions becomes a major challenge in automotive applications,” explains Vikas Choudhary, engineering manager, MEMS and Sensors at Analog Devices, Inc. The other challenges are power consumption, sensor integration and calibration.

“In battery-operated devices, the power consumed by the sensors should be minimised as much as possible and the sensors must support low-power mode in suspend, preferably with interrupt functions. This would help the host processor to get relieved from the continuously polling data. Even though enough care is taken during the layout phase, there are uninterrupted interferences to these sensors due to which they report inaccurate values. Thus there is a need for the calibration of these sensors and the use of a fine-tuned software for an optimum calibration,” explains Babu.

This is not all. The other factor that can affect the working of these sensors to a larger extent is the electromagnetic interference, especially the very high frequency (VHF) EMF. T. Anand says, “Electromagnetic interference can produce false signal outputs. On the other hand, VHF-level electromagnetic interference can also cause intermodulation distortion and produce low-frequency measurement errors.”

What is new in this segment?

Sony Ericsson’s shake control and Samsung’s motion play are examples of new technologies that make good use of an accelerometer. Microsoft uses accelerometer-based features in its Windows Embedded Compact for different touch-screen applications on Windows 8. Manufacturers also use them in devices to protect their hard drives from getting damaged in case of a free-fall.

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Industries currently use MEMS-based accelerometers. They work on the principle of displacement of a small proof mass that is etched into the silicon surface of the IC and is suspended by small beams. As soon as the acceleration is applied to the device, a force is developed that displaces the mass. The support beams that act as a spring, and the fluid trapped in the IC that acts as a damper, result in the second-order lumped physical system which acts as the source of non-uniform frequency response and limited operation bandwidth of the accelerometer.

On the other hand, new gyroscopes have been launched by companies like Epson for car navigation applications. KMX61G is the world’s first micro-smp magnetic gyro launched in 2013 by Kionix, with an integrated sensor fusion technology. This reduces the current drawn by up to 90 per cent as compared to the other traditional gyros. New components like these would allow product designers to incorporate the gyro functionality in products that were restricted in the past from the inclusion of gyro due to their high-power consumption.

Enhancing flexibility

When swapping similar components, engineers always know that not all components are created equal and they will always be mismatched. However, mistakes will always happen and sometimes they tend to be the expensive ones.

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Let us consider what happened to Apple’s iPhone 5S—by switching the accelerometer from a STMicroelectronics LIS331DLH to a Bosch Sensortec BMA220, the phone literally lost its sense of balance. Now companies like Kionix are coming out with performance optimisation tools that allow a designer to manipulate power and noise levels through a downloadable GUI. This helps them tune the sensor to meet their system’s potentially unique requirements through precise design parameter choices.

Rugged seems to be the keyword

It comes as no surprise though, that the sensor which is used to detect a free-fall should not be the first one to bonk out on impact.

The bias stability for gyros may be pretty numbers in the datasheet, but everything goes out of the window once you get your device out into the real world. Gravity sensitivity and environmental factors like heat, all play a part here. This is why bias stability and vibration rejections are some of the key parameters being looked at. Analog Devices’ ADXRS64x family of low-noise, vibration-rejecting yaw rate gyroscopes are drop-in performance upgrades to existing designs using the ADXRS62x family.

For modern applications such as oil-downhole monitoring, UAV inertial measurements and industrial robotics, there is an increased demand for rugged accelerometers. Of course, another area that requires these accelerometers is the exponentially growing mobile devices segment. With this demand in mind, the last year has seen the launch of tougher accelerometers that can withstand heavy impacts.

A new line of sensors that are insensitive to temperature changes or gradients, with signal output unaffected by electromagnetic interference, and requiring no warm-up time was brought out by Silicon Designs in the last half of 2013. All Silicon Designs’ accelerometers feature a custom-integrated circuit with onboard sending amplifier and differential output stage, with a 0.5V-4.5V single-ended or ±4V differential output, proportional to the amount of measured acceleration.

Laser accelerometers
Researchers at Caltech, the California University of Technology, are working on accelerometers that work with lasers. An accelerometer normally uses an electrical circuit, whilst a laser accelerometer uses laser light instead of electricity. The optical cavity of this accelerometer is very small (about 20 microns long, only a single micron deep and few tenths of a micron thick). It contains two silicon nanobeams that are situated in an accelerometer as the two sides of a zipper that has a proof mass attached to one of its sides.

The moment a laser light enters the accelerometer, the nanobeams act as a ‘light pipe.’ These nanobeams guide the light to be bounced back and forth in between its holes. The movement of the proof mass results in the change of the intensity of the laser light that is reflected out. This reflected laser light is so sensitive to the motion of the proof mass that it helps in the determination of even the slightest displacement.

The laser accelerometers are still under research to find the cost-effective ways of using laser with accelerometers.


Sneha A, Gurgaon and Dilin Anand all of EFY

Components of Agriculture 4.0

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In the quest for better yields and greater environmental protection in agriculture, arguably the most important transformation these days is the increasing use of digital technologies in what has been dubbed smart farming or Farming 4.0. Farming 4.0 is a highly dynamic and rapidly evolving concept – in terms of its full potential, the current state-of-the-art might really be only the tip of the iceberg.

The following are the major components of Agriculture 4.0:

  • IoT Sensors: From soil fertility to connectivity, IoT sensors are critical parts of modern agriculture
  • LED’s: The rise in indoor farming is being driven by advances in LED technology. Indoor farming is particularly demanding of LED precision because of the requirements to provide optimal growth and yields.
  • Robotics: Some robots are doing what farmers used to do in farms. This robotics also includes analytics which are software systems that assist in analysing and making sense of trends in farms.
  • Solar Cells: Most devices in farms are powered by solar and solar panels are important.
  • Drones and satellites: drones and satellites are used for data collection of farm vegetation.
  • Indoor Farming/Aquaponics/Hydroponics: Making use of a wealth of experience and resources in LED lighting, some OEM companies have sprung up offering full solutions for indoor farming/aquaponics and hydroponics.
  • Farm Fintech: increasingly, new financial solutions are designed for farms and agriculture. These solutions are captured as farm financial technology (farm fintech) and they include payment, lending, insurance etc which are done digitally for farming

Data for Agriculture 4.0

As information systems grow in utility, data have come to represent different things for different industries, overlapping many scientific disciplines. Along the way, the scope of information that industries want to capture and measure expands, and the data become yet more useful.

In agriculture, data have played the role of an oracle providing insight on seasonal activities. In varying degrees, data have been informing insurance policies, finance facilities, and commodity exchanges.

More recently, precision agriculture and agtech have inspired start-ups offering farmers equipment, software, and other innovative tools that capture, monitor and process field- and crop-specific data. The mind-blowing pace of technology development in this space has left farmers bewildered by the options. In 2015, agtech investment hit a record $4.6 billion. Such a level of investment interest comes from those within the industry who see the value of data as a commodity in and of itself.

Like cash, data aren’t one-use, disposable items. Data can also have a multiplier effect of their own that is more accurately described as a “network effect.”

This data and the associated network effect will be the heart that will drive Agriculture 4.0.

Note: Note that some have called this era of agriculture production – Agriculture 2.0. But we do think it is 4.0 in the advanced world but possibly 2.0 in Africa as we are just starting in the area of mechanization and automation.

5 Actions That Reduce Your Chances of Raising Venture Capital

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12–18 months after raising some money from friends & family or a seed round, many of the founders I talk to shift from product/market fit questions to fundraising concerns. After trying to dissuade them from going this route (and failing most of the time) I point out the self-sabotaging actions that reduce their chances of raising venture capital. Why do I try to dissuade these founders? Because they lack the understanding that a venture backed firm serves several masters and the growth expectations (that help the VC determine return multiples) can distort the founders priorities to just build a great company. In other words, venture is a marriage that can often end in buyer’s remorse. Nevertheless, once they’ve decided it’s the path for them, I share the five lessons below:

  1. Ramping up sales when your startup is still in the customer development phase: This one is the trickiest mistakes I see from startups. The typical scenario is that the startup has a few clients, a couple are paying and probably using the product at a deceptively encouraging frequency. The founder starts to mistake customer development?—?the process of gaining customer insights to generate, test, and optimize ideas for products and services through interviews and structured experiment– for product/market fit. Product/Market fit means being in a good market with a product that can satisfy that market and at this point. While you’re constantly experimenting after product/market fit, the experiments are not to find a business model but to refine the one you’ve clearly identified after your customer development period. To ramp up sales, typically by hiring salespeople, during the customer development phase is to set yourself up for failure thinking that you can show VCs traction. The good VCs know the difference between your customer development phase results and when you’ve found product/market fit. You should too..
  2. Handing out titles to team members to fake ‘structure’: There is this fallacy that founders hold to be true when they are trying to raise their first round of VC funding (before they’re ready); it’s that, for the startup to be taken seriously, it requires a certain structure for it to look VC-investable. The founder believes the startup should have a COO, VP of Sales, CEO etc. I say fallacy because, while the team is supremely important, what is more important is what the team has managed to achieve. The titles don’t matter! You can all be titled Thing 1, Thing 2, Thing 3 etc and, if you’ve found product/market fit and selling at an impressive clip, you’ll raise your round with ‘relative’ ease.
  3. Using the hottest startup (e.g. Snap) in your space as the example: This one is also quite tricky. The problem with a founder showing a VC that there is a hot & fast growing startup in the opportunity space is that the VC sees a party that’s about to end. VCs believe in the Power Law and 2nd or 3rd or 4th place, which is the best you can possibly be at this point, is never good enough . If Snap is a similar company to yours, it won’t look good on your pitch deck if you have little to no differentiation from their product. You require at least 10X improvement over the current the hot startup’s product (in your space) to truly be VC fundable. If you have a me-too product, you’ll get a me-too VC. This might be OK for you and your VC but it’s unlikely to be a winning strategy in the VC space. You can run a lifestyle business and be fine (and there is nothing wrong with that), just don’t go looking for investors looking for game-changing power-law-adhering startups to invest in.
  4. Pivoting right before the beginning of the fundraise: VCs like to look at metrics. Charts that are trending up and to the right are (um) right. The problem with a pivot right before you start your fundraise is that now you have no metrics to show. You’re trying to convince VCs to invest in a new opportunity from the one you spent the last 18 months toiling at. You shouldn’t be surprised the VCs aren’t giving you money at this stage; VCs are not risk takers, they are risk mitigators. Their LPs did not give them money for them to turn around and lose it. Being unable to assess your startup risk profile is a definite ‘No’ for most VCs.
  5. Spending way too much time developing the pitch deck: Time and time again I remind founders that the most basic element of a pitch deck (10–15 slides) is all you need in the first version. The slides should show pain, solution, traction, team, product, go-to-market, TAM/Market Size, Financials, Competition, Why You Will Win and the Ask. And maybe a summary slide. Any modifications that you make to your slides, after the first version, should be based on the feedback you receive from targeted investors that you’ve engaged with. To spend 3 months working on a deck (yes, I’ve seen this) is a surefire way to waste time on fundraising. Time not spent building your business.

Note to first time founders: if you find a VC that gives you Series A funding in the customer development phase know that i) it’s probably a janky VC and ii) this VC will be on your case so much, due to mismatched expectations, you’ll wish you were building a lifestyle business.

Another piece of advice I share with these founders is that the VC path is not for everyone. Building a product is fairly cheap nowadays. The real work is in customer acquisition. And if you haven’t figured out customer acquisition, no amount of funding will save your startup. Whether it be a lifestyle or VC fundable startup…

originally published here.

Meet Ada: an App that can diagnose health issues via smartphone

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The name sounds really awesome for Nigerians from Southeastern part of the country. Ada is the name of a woman, usually the first female born in a family. But here, Ada is an app.

Meet the Ada Personal Health Companion, an AI-powered app that listens to your symptoms and then tries to diagnose your possible health problem. And no, it’s not replacing doctors anytime soon, but the app is a step in the right direction; letting people ease that nagging worry without feeling embarrassed about going to the doctor for what may be “nothing at all”.

We tried it out, and the app is certainly simple, if a little bare-bones. All you have to do is download it for Android or iOS and then sign up with your email. The app only requires you put in your name and birthday, and claims to be “100 percent private”. If you’re still worried about your privacy, you can give in a fake name like we did, and there’s no problem.

While the app asks you for your birth date on setup, you’ll need to manually input your height and weight from the settings menu. However, we’re still not sure if this plays a part in the diagnosis, as we didn’t see any change in the report received.

When you start a diagnosis, Ada asks you for a symptom you are(or someone else is) experiencing, and then quizzes you on it. The app has a library of very specific symptoms for you to draw on, complete with an auto suggest feature to help you out. Specify how long you’ve had the symptoms, any other problems, and answer questions like whether activity makes it better or worse, and you’re done.

 Ada Is An AI-Powered App That Can Diagnose Your Health Problems From Your Smartphone Ada Is An AI-Powered App That Can Diagnose Your Health Problems From Your Smartphone

Ada generates a report with possible diagnoses based on your description, and accordingly recommends you to see a doctor, as well as providing possible home remedies for milder cases. It also offers you the option to track your symptoms over time, if you choose.

The Ada Personal Health Companion is available to download for free from both the iTunes App Store and Google Play.