AI News, BOOK REVIEW: 5 Artificial Intelligence Companies To Invest Stock In For 2019 artificial intelligence

Best Penny Stocks Under $1

You can start trading penny stocks, which are defined as small shares that trade for less than one dollar and are known for their volatility if you’re up for a challenge.

Shares dropped over 50% from the premarket on July 30th to the premarket of July 31st following news of a common stock offering of 2.875 million shares at $0.80 per share.

Shares have risen from $2.77 on July 8th, to $5.225 on July 31st, following news that the company entered into a subscription agreement for a private offering resulting in a $25 million in financing.

On July 10th the stocked opened for trade at $4.13, an increase of $1.19 from the close the day before, with 12 times more volume than the average.

On the 23rd, it broke the resistance of a dollar for a day before falling below $1 after the company reported worse-than-expected earnings in the aftermarket.

Penny stocks can be extremely dangerous for a number of reasons, including the major swings in percent a small dollar/cent move can create, decreased liquidity when interest fades and decreased transparency into operations.


OpenAI is the for-profit corporation OpenAI LP, whose parent organization is the non-profit organization OpenAI Inc[3], which conducts research in the field of artificial intelligence (AI) with the stated aim to promote and develop friendly AI in such a way as to benefit humanity as a whole.

Nevertheless, Sutskever stated that he was willing to leave Google for OpenAI “partly of because of the very strong group of people and, to a very large extent, because of its mission.” Brockman stated that “the best thing that I could imagine doing was moving humanity closer to building real AI in a safe way.” OpenAI researcher Wojciech Zaremba stated that he turned down “borderline crazy” offers of two to three times his market value to join OpenAI instead.[7]

and which sentiment has been expressed elsewhere in reference to a potentially enormous class of AI-enabled products: 'Are we really willing to let our society be infiltrated by autonomous software and hardware agents whose details of operation are known only to a select few?

Vishal Sikka, former CEO of Infosys, stated that an “openness” where the endeavor would “produce results generally in the greater interest of humanity” was a fundamental requirement for his support, and that OpenAI “aligns very nicely with our long-held values” and their “endeavor to do purposeful work”.[26]

We could sit on the sidelines or we can encourage regulatory oversight, or we could participate with the right structure with people who care deeply about developing AI in a way that is safe and is beneficial to humanity.” Musk acknowledged that “there is always some risk that in actually trying to advance (friendly) AI we may create the thing we are concerned about”;

During a 2016 conversation about the technological singularity, Altman said that “we don’t plan to release all of our source code” and mentioned a plan to “allow wide swaths of the world to elect representatives to a new governance board”.

Gym aims to provide an easy-to-setup general-intelligence benchmark with a wide variety of different environments—somewhat akin to, but broader than, the ImageNet Large Scale Visual Recognition Challenge used in supervised learning research—and that hopes to standardize the way in which environments are defined in AI research publications, so that published research becomes more easily reproducible.[8][30]

when an agent is then removed from this virtual environment and placed in a new virtual environment with high winds, the agent braces to remain upright, suggesting it had learned how to balance in a generalized way.[33][34]

OpenAI Five is the name of a team of five OpenAI-curated bots that are used in the competitive five-on-five video game Dota 2, who learn to play against human players at a high skill level entirely through trial-and-error algorithms.

Before becoming a team of five, the first public demonstration occurred at The International 2017, the annual premiere championship tournament for the game, where Dendi, a professional Ukrainian player of the game, lost against a bot in a live 1v1 matchup.[37][38]

The system uses a form of reinforcement learning, as the bots learn over time by playing against themselves hundreds of times a day for months, and are rewarded for actions such as killing an enemy and taking map objectives.[41][42][43]

32 artificial intelligence companies building a smarter tomorrow

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.

Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach.  As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.

By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.

RELATED ARTICLES20 examples of artificial intelligence shaking up business as usual How AI is changing the banking and finance industries The robots will see you now: How artificial intelligence is revolutionizing healthcare  

Industry: Fintech Location: New York, New York What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.

Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.

Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.

By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.

Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.

Industry: Cloud, Robotics Location: Santa Clara, California What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.

Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.

The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.

From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.

Industry: Big Data, Software Location: Mountain View, California What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Industry: Software Location: San Francisco, California What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.

Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.

Industry: Software, Healthtech Location: Berkeley, California (US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.

These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.

Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.

Client Note: Walmart Goes All Natural, Oscar Health Announces Expansions, A Semi-Autonomous Electric Scooter, And More

Private companies working in auto tech are attracting record levels of deals and funding, with autonomous driving startups leading the charge.

few of the companies or brands listed below belong to the same parent organization but are detailed separately if they are operating distinct autonomous development programs.

Top initiatives: Closer look: Over the last decade, Amazon has spent billions of dollars working on finding ever-better solutions to the last-mile problem in delivery.

In February 2019, Amazon invested in Aurora Innovation, an autonomous tech startup run by former executives from two other firms with strong ties to self-driving technology: Google and Tesla.

company spokesperson told Wired about the investment: “Autonomous technology has the potential to help make the jobs of our employees and partners safer and more productive, whether it’s in a fulfillment center or on the road, and we’re excited about the possibilities.” The Aurora investment isn’t the only autonomous technology play that Amazon is pursuing.

In 2016, Amazon filed for and was granted a patent for a system that helps autonomous cars navigate roadways, especially complex, reversible lanes, and even pick which lane to use depending on current traffic estimates — an early indicator of the company’s ambitions in this space and AVs’

Project Titan has suffered setbacks since as early 2016, which marked the departure of project head Steve Zadesky and a rumored hiring freeze, as well as strategic uncertainty about the vision of the project.

The hires indicated a shift in strategy, with Project Titan reportedly deciding to prioritize the development of an autonomous driving system, while deprioritizing development of an electric vehicle.

Apple spent 2018 building out the beginnings of its self-driving car fleet, with 70 vehicles officially on the road and registered with the California DMV as of September of that year.

In 2018, Apple’s test fleet logged a total of 79,745 miles of autonomous driving time — up from just 838 in 2017.

The Volkswagen T6 transporter vans slated to be used will feature a human driver present in case of any issues with the self-driving technology in the car.

Top initiatives: Closer look: In May 2019, self-driving software company Aptiv and ridesharing company Lyft announced a major milestone: the companies, which had been collaborating on an autonomous passenger service in Las Vegas for more than a year, had completed the 50,000th ride of the partnership.

Reception to the program has been positive: Lyft reports that the rides average a 4.7-star rating from passengers, with 92% stating that they felt safe during the ride.

In the first 2 quarters of 2019, the company posted gains of 32.5%, compared with a 23.3% growth in the technology services market as a whole.

The operation, which is based in Munich and boasts approximately 150 employees, is currently testing 12 autonomous vehicles on public roads in its home city.

If Audi’s claim that it will introduce a fleet of fully autonomous robot taxis at scale by 2021 holds true, its fleet will hit the roads 2 full years after GM plans to deploy its autonomous ride-hailing service in San Francisco.

When you’re at 95 percent, you’ve just scratched the surface.” Audi is starting to bring in new technology partners in an effort to expedite its autonomous timelines.

Audi plans to commercialize its technology in its next-generation A8 flagship, although the vehicle’s SAE Level 3 automation will have limited availability, pending regulatory approval.

In July 2017, Audi unveiled its new flagship A8, which has a controversial autonomous driving feature that lets drivers fully take their hands off the wheel while the car drives up to 37 mph.

The 2019 A8 model includes an enhanced suite of semi-autonomous features, including adaptive cruise control and collision mitigation capabilities, as well as improved object recognition.

In January 2019, Baidu unveiled Apollo Enterprise, a new line that will focus primarily on use cases including highway driving, valet parking, autonomous mini-buses, and mapping technology.

For years, Apollo has been used by chipmakers and small startups to kickstart work in self-driving cars, but big corporates — including Nvidia, Bosch, Daimler, and Ford — have also found it useful.

The coalition plans to create an open standards-based platform for bringing self-driving cars to market, aiming to put its first vehicle, the BMW iNEXT, on the road by 2021.

In 2018, BMW opened an autonomous driving campus near Munich, Germany, to work on self-driving pilot projects, making it BMW’s second workplace dedicated to autonomous technology alongside its office in Mountain View, California.

Top initiatives: Closer look: In July 2019, Bosch and partner Daimler received approval from German regulators to operate their autonomous parking feature without having a human safety driver behind the wheel.

In April 2017, Bosch and Mercedes joined forces to develop Level 4 (high automation) and 5 (full automation) vehicles, with Mercedes having two years of exclusivity to the co-developed system before it can be offered to competing automakers.

Top initiatives: Closer look: Over the last few years, Cisco has begun exploring the potential in building out the data collection and analysis layer of the autonomous driving and smart car industries.

The purpose of the project, also known as Cisco Connected Roadways, was to find ways to better connect individual automobiles on the road with the infrastructure around them — including roads, parking meters, and street lights.

At CES 2018, Cisco announced that, through a partnership with Hyundai, it would focus on bringing gigabit-speed Ethernet connectivity to smart cars — enabling both faster-than-ever OTA (over the air) updates and setting the foundation for better self-driving technology.

It could also boost the development of autonomous technology, given how much information self-driving cars need to be able to process and send for analysis every second they are monitoring the road.

Nevertheless, the company is moving forward with a number of autonomous technology efforts, including manufacturing parts for robotaxis, some of which are in use in the EZ10 autonomous shuttle from French company EasyMile.

few weeks later, Continental announced a new partnership with Nvidia to create self-driving vehicle systems, combining Continental’s automobile software engineering with Nvidia’s Drive platform and operating system.

The goal is to develop an independent piece of autonomous technology that can then be marketed and sold to other automakers and grafted onto an existing vehicle to provide self-driving capabilities without the need for any complex, time-consuming, or expensive integration.

concept, multiple trucks controlled by a lead truck are connected through wireless signals, forming a train with one truck following behind another.

In February 2019, Daimler and fellow German automotive giant BMW announced that they would collaborate on autonomous driving technology, with the goal of getting the project ready by the mid-2020s.

In March 2017, Didi opened its own artificial intelligence lab in the heart of Silicon Valley, creating a distinct unit to drive its R&D for intelligent driving systems and AI-based security for transportation.

The new business’s goal will be to “integrate the resources and technological advantages of Didi’s platform, continue to increase investment in R&D of core innovative technologies, and deepen collaboration with upstream and downstream auto industry partners.” Didi Chuxing has already poached a number of noteworthy engineers for its new lab, including Charlie Miller (formerly of Uber’s autonomous vehicle security unit) and Jia Zhaoyin, a senior software engineer at Alphabet’s Waymo unit.

In March 2017, the Udacity and Didi joint partnership announced a contest focused on self-driving technology and safety, where teams could win $100K for developing the best “Automated Safety and Awareness Processing Stack.” Didi also has a 60% stake in a self-driving joint venture with Volkswagen, located in Shanghai.

In February 2018, Didi announced that it had demonstrated a working self-driving car for the first time, reporting that it had built the software for the vehicle and constructed the hardware in partnership with various carmakers and suppliers.

This plan culminated in the formation of Ford Smart Mobility LLC in March 2016, a new subsidiary focused on connectivity, autonomous vehicles, and mobility (e.g., car- and ride-sharing services).

In a speech at Ford Field in Detroit in 2019, Hackett re-emphasized the enormity of what autonomous technology would mean, for the company and society as a whole: “When we break through, it will change the way your toothpaste is delivered, logistics and ride structures and cities all get redesigned.

I won’t be in charge of Ford when this is going on, but I see it clearly.” In June 2019, Ford announced the opening of a new research center in Tel Aviv focused on self-driving technologies including sensors, in-vehicle monitoring, and cybersecurity.

The company has aggressively pursued external investment and acquisition opportunities since H2’16, backing or acquiring a number of companies working in AI, lidar, and mapping.

Additional Ford partners include Domino’s Pizza, with a partnership launched in August 2017 to develop a fleet of self-driving pizza delivery vehicles, and Postmates, to enable on-demand autonomous delivery.

Top initiatives: Closer look: General Motors made waves in 2016 with a series of aggressive moves within the tech sphere: it bought Sidecar’s assets, invested $500M in Lyft, and acquired autonomous tech startup Cruise Automation.

The company planned to have an autonomous ride-hailing service in operation by 2019, but in July it announced the launch would be pushed back to allow for additional testing.

And that’s why we’re increasing our testing and validation mileage just to get to that point as rapidly as possible.” In its partnership with Lyft, GM planned to deploy thousands of self-driving Bolts beginning in 2018.

The company also has detailed plans to hire 700 engineers focused on autonomous R&D, as well as actively experimenting with new go-to-market models in its Maven Reserve and Book by Cadillac subscription concepts.

Top initiatives: Closer look: The $2.75B, 12-year autonomous vehicle partnership that Honda and GM recently announced is just the latest development in a long history of collaboration between the 2 automakers.

Honda also introduced semi-autonomous ADAS (advanced-driver assistance systems) options on its entry-level Civic, offering lane-keeping, automatic braking, and adaptive cruise control functionality.

So it’s unsurprising that the telecommunications giant has shifted resources toward developing autonomous vehicles in a bid to be the company that creates — and captures — that value.

American automakers are conspicuously absent from Huawei’s list of partners — likely a result of restrictions put in place by the US government to limit the sale of Huawei components in the United States.

Later, Hyundai announced that its next-generation safety system being sent to production vehicles would give drivers the power to remove their hands from the steering wheel for up to 15 seconds at a time.

Autotalks builds communications systems that help cars connect and convey information to one another, which Hyundai touted as a way to help build better detection and sensors in its cars.

However, in February 2016, JLR joined a $7.9M UK program to further autonomous driving R&D, aiming to gather data on driving habits and test vehicle communications technology.

In July 2016, JLR formalized plans to deploy a fleet of at least 100 research vehicles over the next four years to test self-driving and connected car technology on roadways in Britain.

Jaguar is also working on some technological innovations related to autonomous vehicles, including a system that projects a series of bars onto the road to notify nearby vehicles and pedestrians if the AV is turning, stopping, or starting.

The facility will initially produce autonomous versions of the Chrysler Pacifica Hybrid minivan and Jaguar’s I-PACE electric SUV — all capable of Level 4 autonomous driving — with a production rate of several thousand vehicles per year.

Building off the capabilities and relationships of its Azure cloud computing platform, Microsoft is focusing its autonomous vehicle efforts primarily on “connected car platforms” — back-end networks tasked with crunching the data that cars produce.

That data, in turn, informs a wide range of autonomous vehicle functions, including braking, advanced cruise control, and lane assist.

Nissan expanded the scope of its projects in 2016, with plans to test single-lane autonomous driving in Japan, as well as a wider range of experiments from its Future Lab mobility research center.

Top initiatives: Closer look: At CES 2016, GPU and semiconductor company Nvidia unveiled the Nvidia Drive PX 2, the second generation of its platform expressly designed for autonomous cars.

With 8 teraflops of processing power, the platform is designed for deep learning, sensor fusion, and computer vision applications — all key elements of a potential self-driving car.

Another major area of development for the company is advanced memory technology, which Samsung says is essential to “enable effective, high-speed driver feedback” and ensure the safety of autonomous vehicles.

In December 2018, Samsung announced that it would build mobile network infrastructure, including 5G and V2X networks, for K-City, a testing ground for autonomous vehicles and other smart city technologies located in Korea.

SB Drive is conducting trials and testing the commercial viability of fixed-route buses for community public transportation, as well as autonomous truck-based freight delivery.

The vehicles navigated over 300 km (186 miles) without supervision on authorized stretches of road, with PSA claiming the cars had achieved Level 3 Automation in this mode.

Tata Elixsi, a division of the Tata Group, showcased technology in January 2015 for an autonomous parking valet in which the car understands where open spots are and uses sensors to park itself.

It is also putting a priority on security, designing a central unit in the car with extensive security measures that govern internal and external automotive communication.

The software connects hardware (cameras, radars, etc.) with the AI and machine learning algorithms used to train AVs in complex driving scenarios.

Top initiatives: Closer look: In the public eye, EV manufacturer Tesla became an early leading banner-carrier for advanced driver assistance and self-driving technology.

CEO Elon Musk has been particularly bullish on the field, announcing in 2015 that the technology behind fully autonomous vehicles was only “two to three years away,”

Tesla’s deployment strategy and messaging were criticized following a series of crashes and its first Autopilot-driven fatality in the summer of 2016, although the NHTSA’s official report was favorable towards Autopilot and did not find a safety defect.

Since the accident, Tesla and Mobileye severed ties, with the California automaker seeking to consolidate control over the development of its radar- and camera-based system (eschewing costly lidar sensors).

After Tesla made data from the car public in its defense, the US National Transportation Safety Board stripped Tesla of its role in the investigation into the crash, launching a feud and setting back expectations for Tesla’s self-driving car project.

“Our vision is to enable self-driving vehicles with the ultimate goal of reducing fatalities to zero, enabling smoother transportation, and providing mobility for all,” said TRI-AD CEO James Kuffner in a statement.

Top initiatives: Closer look: Self-driving cars have a big role to play in Uber’s goal of becoming the “one-stop shop for the movement of people and powering local commerce around the world.” The company’s self-driving unit was spending $20M per month as of 2016, according to court documents that were unsealed in the lead-up to the company’s IPO in 2019.

The documents also reveal just how quickly Uber expected self-driving adoption to accelerate: it planned to have 75,000 autonomous vehicles in operation by 2019 and to have driverless taxi services operating in 13 cities by 2022.

Former Uber CEO Travis Kalanick was a noted champion of his ride-sharing company embracing autonomous cars, with the technology representing both an existential threat and an opportunity for the startup to validate its stratospheric valuation.

The company has also faced waves of negative press on sexual harassment and poor culture, in addition to deceiving authorities and ignoring autonomous testing regulations.

The model features more safety features and redundancy than the previous self-driving models Uber has developed — but it is also being designed to operate without a human driver behind the wheel.

Top initiatives: Closer look: Like many other suppliers, Valeo has been working on its own advanced driver-assistance systems and self-driving systems, with the company’s innovation chief tapping autonomous driving as Valeo’s main growth driver by 2020.

At the same conference a year later, the company signed an agreement with Mobileye to develop a new safety standard for autonomous vehicles based on Mobileye’s mathematical safety model.

VW Group CEO Matthias Muller announced in March 2016 that the board had signed off on a huge autonomous driving initiative, claiming that the goal was to “[bring] these technologies to market faster than the competition.”

The auto giant unveiled its new Moia brand in late 2016, joining other automakers in creating a unit dedicated to new mobility services like fleet-based shuttles and autonomous, on-demand transportation.

With no steering wheel or pedals, the vehicle represents Volkswagen’s vision of a fully self-driving vehicle that requires no human input to drive whatsoever.

In June 2019, Volvo and ride-sharing company Uber announced that they had created “a production car capable of driving by itself.” The car in question is Volvo’s XC90 SUV, modified with Uber’s self-driving system.

Volvo’s statements about the autonomous XC90 have focused on the safety features, which include “several back-up systems for both steering and braking functions as well as battery back-up power,” according to a statement from the company.

Volvo has previously announced plans to give 100 Swedish customers early access to an autonomous XC90 by 2021 (with restrictions on when, where, and how the autonomous mode will be used).

(Note: Volvo Cars is now distinct from the independent Volvo Group brand, which focuses on heavy-duty commercial trucks, buses, and equipment.) The company has stated that it will accept full liability when its vehicles are in autonomous mode and has announced plans to expand its pilot program to China and the United States.

In June 2018, Volvo announced another partnership with lidar startup Luminar to work on both physical, car-mounted sensors and the software designed to process, label, and tag captured data.

In November 2018, Luminar CEO and founder Austin Russell stated that the technology Luminar is developing with Volvo has the ability to detect objects at a distance of as much as 250 meters — significantly higher than the 30-40 meters most systems are capable of today.

If true, the technology would represent a substantial leap forward in tackling one of the most persistent challenges with self-driving vehicle technology: the ability to recognize — and react to — a constantly changing physical environment.

In April 2019, Krafcik painted a picture of the scope of Waymo’s ambitions for the future: “Anything that has wheels and moves along the surface of the earth is something that we, in the future, could imagine being driven by Waymo.” Waymo publicly revealed its custom self-driving hardware in February 2017, planning to sell an integrated hardware and software package.

The company reported the vehicles ran 2.5B additional miles in simulation, along with more than 25,000 “problematic scenarios” and 20,000 different individual test track tests.

In August 2018, the company launched a program to provide residents of the Phoenix area with rides to bus stops and train stations using the autonomous fleet.

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