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POINT ROBERTS, WA / ACCESSWIRE / February 26, 2018 / Investorideas.com (www.investorideas.com), a global news source covering leading technology sectors including Artificial Intelligence (AI) reports on publicly traded companies in the self-driving car market and how they are addressing consumer fears of a driverless future.

Companies mentioned include: Gopher Protocol Inc. (OTCQB: GOPH), Tesla (Quote) Intel (Quote), Alphabet Inc (Quote) (Quote) and STMicroelectronics (Quote).

When it comes to the future of self-driving cars, Intel sums it up best: ''The technology for self-driving cars is accelerating quickly but our driverless future won't go anywhere if people don't trust it.''

Brian Krzanich of Intel said last year, ''One of the big promises of artificial intelligence (AI) is our driverless future. Nearly 1.3 million people die in road crashes worldwide every year - an average 3,287 deaths a day1. Nearly 90 percent of those collisions are caused by human error2.''

''Self-driving technology can help prevent these errors by giving autonomous vehicles the capacity to learn from the collective experience of millions of cars - avoiding the mistakes of others and creating a safer driving environment.''

A smaller player in the AI sector currently marketing a pet tracking device with AI technology, Gopher Protocol Inc. (OTCQB: GOPH), last week reported new R&D efforts for its MESH Technology for the self-driving car market.

According to the company, ''New research includes testing of its MESH network technology for use in autonomous driving tracking and safety applications.''

Gopher's core tracking technology is based on Artificial Intelligence data in real-time and is currently implemented in its pet tracking device, as previously announced.

Explaining the difference between their tracking technology and competitive tracking technology, Gopher's CTO said, ''Current GPS technology relies on satellite geometry, URE (User Range Error), atmospheric conditions, signal blockages due to terrain and more. GPS technology, as a stand-alone system cannot provide an exact pin-pointed location at all times. For example: 'My Tesla is NOT being parked on 267 S. Beverly, it's actually a FULL block away,' (User's Testimonial). This bias will not occur utilizing Gopher's technology.''

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Gopher's new research division, named gNETCar, is focusing on autonomous car safety research using its proprietary tracking technology which provides an exact pin-point, GEO location of the object without relying on only GPS data. Gopher has tested the tracking technology using its private, secured communication protocol and has successfully performed safe, autonomous vehicle driving experiments.

A glimpse of Gopher technology can be seen in its video release available on YouTube at

, as previously disclosed in a press release dated 11/14/2017. (https://www.otcmarkets.com/stock/GOPH/news/Gopher-Protocol-Introducing-Gopher-Protocols-dDrone-Technology-Utilizing-Artificial-Intelligence-AI?id=175201)

Dr. Danny Rittman, Gopher's CTO explained, ''Currently we are in the process of defining, adapting and testing of our advanced MESH network architecture which is to be implemented within autonomous driving systems. Our MESH network includes AI and deep learning methodology which we believe will allow cars to rapidly and adaptably scale to safely handle situations as conditions change. Using Gopher's MESH technology, we believe it will potentially enable autonomous vehicles to communicate, learn and share vital safety details; among them road conditions, obstacles, weather and other safety information.''

Dr. Rittman went on to say, ''With Gopher's MESH technology, we expect data to be shared amongst all vehicles that are participating in the network for the most efficient, real-time, decision making.''

Another company, STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, and AdaSky, an Israeli-based start-up bringing far infrared (FIR) technology to the automotive market to enable vehicles of tomorrow to see further and better, just announced a collaboration in which AdaSky's FIR thermal camera embeds custom silicon co-designed with and manufactured by ST in its proprietary 28nm FD-SOI[1] manufacturing technology. The complete sensing solution from AdaSky, called Viper, aims to enable autonomous vehicles to see and understand the roads and their surroundings in any condition.

From the press release: 'Having complete sight and perception of the roadway, other vehicles, roadside infrastructure, and obstacles, especially in challenging lighting or weather conditions, is fundamental to the safe operation of next-generation autonomous cars. To achieve 24/7 autonomous driving, vehicles will rely on the fusion of complementary information streams provided by different sensors. No sensor or camera in operation today can capture all of the information on its own and each has challenges in certain lighting or weather conditions. Passive infrared vision, like that in AdaSky's Viper, when used in a fusion solution, can help close the gaps to provide accurate sight and perception without fail in dynamic lighting conditions, in direct sunlight, in the face of oncoming headlights, and in harsh weather.

The new camera uses an FIR micro-bolometer sensor to detect the temperature of an object. In an ADAS solution, Viper uses proprietary algorithms based on Convolutional Neural Networks to classify obstacles and show them in a cockpit display to give the driver an early warning. This warning comes several seconds earlier than it would when using a conventional sensor in the visible wavelength and is even faster than what is possible with the human eye.