The bookings for the scooter has started already and the deliveries will start in the second quarter of 2018. Flow features many advanced features like cloud-server connectivity, AI learning based on the riding habits, inbuilt GPS that acts as security device too and much more. The scooter is powered by a 90 Nm electric motor. It gets 50,000 km warranty on battery and also gets wireless charging. The Flow is powered by a lithium-ion battery, which can be charged within five hours. It gets a range of about 80 km and it is also available with an option of dual battery set-up that doubles its range. The electric scooter gets a telescopic suspension at the front, monoshock at the rear, a mobile charger and a storage space that can hold up to two helmets under the seat. "We are extremely happy and excited today. Flow, our first and flagship product, is way ahead of time, not just for the Indian market but also several international markets. Electric Mobility is the future of the world – a near future; not distant. The Government of India has the vision of making the country electrically mobile. We are more than aligned with this mission, rather ahead of it." The electric scooter also gets features like twin disc brakes, electronic braking system, LED headlamp and tail lamp. Advanced features like cruise control, drag mode (to make the scooter go slow when the tyre is punctured), reverse gear and more are offered. The scooter's GPS device can be used to locate it or make a geo-fencing border that will turn off the engine as soon as the scooter crosses a certain point.
LG first laid the foundation for its AI efforts at CES 2017 when it announced DeepThinQ followed by the initiative to include Wi-Fi in its entire line of premium appliances launched this year. Advancing the company's innovations in AI, LG opened the Artificial Intelligence Lab in Seoul in June under company's CTO to tie together all its diverse AI research in technologies that recognize, deduce and learn from voice, video and sensors. LG's AI Lab has contributed to the development of the world's first space-learning air conditioner as well as intelligent refrigerators, washing machines and robot vacuum cleaners. "Our new ThinQ platform for LG's intelligent products is the latest way that LG is delivering innovations that make consumers' lives easier and more enjoyable," said David VanderWaal, vice president of marketing for LG Electronics USA. "LG ThinQ enables deep learning technology and connectivity across household products, delivering even greater capabilities and convenience." In the United States, LG already offers the most extensive range of Wi-Fi enabled appliances available* today featuring its LG SmartThinQ Wi-Fi connectivity.
If you were going to kick off a technological revolution, you'd be hard-pressed to do it with more pizazz than Tesla with its electric cars. But oddly enough, what's driving it all--the electric motor--is an ancient technology at this point. It's lost out to the gas engine for over a century, sure, but it's finally begun to take over transportation, thanks to supporting roles from better batteries and fancy sensors. But the electric motor is in the midst of launching a far bigger, far more subtle revolution--not in cars, but robots. Open up a robotic arm and you'll find that its joints are actually electric motors, known as actuators.
The massive 4,000 mAh battery of the Mate 10 Pro is a welcome addition and ensures you can go a couple of days with heavy usage on this phone. RAM and storage: The new Huawei Mate 10 Pro has 6GB of RAM with 128 GB of integrated storage. Both are ample for today's daily usage. Easy projection: Samsung DeX is great, but it requires a DeX dock. Huawei lets you simply connect an external display via the USB Type C port to project the device onto an external display.
Google is using machine learning to improve the accuracy and credibility of its battery-life predictions on the Pixel. If you felt your Pixel's battery life forecasts were previously inaccurate, you can blame the assumptions Google used to make about usage. A Google product manager has now explained on the Pixel forum that the company used to assume that if you had used up 10 percent over the past few hours, it estimated that level of per-hour usage would remain consistent. "As you might expect, this wasn't always very accurate," wrote a product manager called Michelle from Google's NYC office. To improve accuracy, Google has created an'on-device model' that analyzes each device's battery usage over time to build an understanding of patterns of usage on similar days and times.
"Kodi box" users are being urged to unplug the devices immediately. A product safety assessment has found that several popular illicit streaming device models suffer from potentially life-threatening flaws. People who continue to use them are risking serious injury through electrocution or the outbreak of a fire, experts have warned. Electrical Safety First has tested nine "popular" Kodi boxes that were taken from a number of raids across the UK, and none of them complied with the Electrical Equipment (Safety) Regulations 1994. "Given the nature of the safety issues we found, [the worst case result of one of the devices malfunctioning] would be for a fire to break out, causing severe property damage and even fatalities, and of course fatalities from electric shock," Steve Curtler, product safety manager at Electrical Safety First, told the Independent.
Lithium battery safety is an important issue as there are more and more reports of fires and explosions. Fires have been reported in everything from cell phones to airplanes to robots. If you don't know why we need to discuss this, or even if you do know, watch this clip or click here. I am not a fire expert. This post is based on things I have heard and some basic research.
General Electric Co. is working on a way to use artificial intelligence in electricity grids, a technology that it expects will save $200 billion globally by improving efficiency. "We're also putting a lot into the machine learning side, a lot," said Steven Martin, chief digital officer at GE's energy connections business, at an interview at the Bloomberg New Energy Finance summit in London. This is expected to significantly increase the efficiency of the grid and save consumers money. Researchers are looking into how so-called machine learning can be integrated into businesses from healthcare to computing, and now energy.
The project, known Black Sea Maritime Archaeology Project (Black Sea MAP), involves an international team led by the University of Southampton's Centre for Maritime Archaeology. One is optimised for high resolution 3D photography, while the other, called Surveyor Interceptor (pictured), 'flies' at four times the speed of conventional ROVs One is optimised for high resolution 3D photography, while the other, called Surveyor Interceptor, 'flies' at four times the speed of conventional ROVs. Project leader Professor Jon Adams (pictured), of the University of Southampton, said: 'This assemblage must comprise one of the finest underwater museums of ships and seafaring in the world' After 1453, when the Ottoman Turks occupied Constantinople - and changed its name to Istanbul - the Black Sea was virtually closed to foreign commerce. The project, known Black Sea Maritime Archaeology Project (Black Sea MAP), involves an international team led by the University of Southampton's Centre for Maritime Archaeology.
It's called Inception Drive, and he describes it as "an ultra-compact infinitely variable transmission based on a novel nested pulley configuration" that's designed to make robots, and all kinds of other things, safer, more affordable, and vastly more efficient. In other words, a constant input, like an electric motor turning the same direction at the same speed, can be converted to an output that's turning faster, turning slower, turning the opposite direction, or not turning at all (in this "geared neutral" mode, you'd need infinite input revolutions to cause one output revolution, hence the name infinitely variable transmission). For instance, a high-quality electric motor may be 90 percent efficient when operating under high velocity and low torque, but in robotic applications, the system must instead be designed to achieve the needed peak torques and speeds in the smallest package possible, resulting in a system that almost never operates near its peak efficiency. This is where SRI's ultra-compact infinitely variable transmission (IVT) can play a key role.