HoloLens 2 Details

Microsoft has finally released details regarding the HoloLens 2 since the first HoloLens was released two years ago.

Compared to the first HoloLens, it’s much lighter, compact, and comfortable. There are front and rear adjustable foam pieces that can be adjusted for better comfort and you can even clean the foam pieces. In addition to this, the HoloLens 2 allows users with glasses to wear them without any complications.

The HoloLens 2 has a more expanded view compared to the first HoloLens and uses mirrors, lasers, and upgraded processors to provide a more expanded field of view. In regards to how clear the display is, the display is equivalent to 2K resolution per eye. All of these upgrades are due to the Microelectromechanical system (MEMS) display developed by Microsoft.

Another feature added is cameras on the nose piece that use retinal recognition for the user to access the HoloLens, in addition to this capability the cameras can even measure the users’ pupillary distance to adjust the display image to your specific measurements.

For the first HoloLens, the user had to use a pinching motion to interact with their environment and it was difficult to use. For the HoloLens 2, users can naturally grab objects and is a more instinctive interaction compared to the first HoloLens.

The new HoloLens will be sold to businesses and not consumers, such as first-line workers who work on jet proposition engines or doctors for surgery and other medical applications. The HoloLens 2 is expected to be released later this year, probably during quarter four of 2019.


Source: https://www.theverge.com/2019/2/24/18235460/microsoft-hololens-2-price-specs-mixed-reality-ar-vr-business-work-features-mwc-2019

Will Microsoft release another version of the HoloLens 2 for consumer use?

How will this change the industry for doctors, mechanics, and other fields where the HoloLens 2 will make the most impact?

How will competitors like Apple, Samsung, Google, etc react to this new HoloLens released by Microsoft?

Microsoft HoloLens 2 Release Details

Microsoft is going to announce and show off its HoloLens 2 at the Mobile World Congress on February 24th.

Here’s what to expect from the new HoloLens:

1.) The price point is expected to be roughly the same compared to the original HoloLens, which was $3,000 for the base model and $5,000 for the commercial model.

2.) There will be new Artificial Intelligence (AI) technology introduced. Little detail has been revealed about the AI tech and what its capabilities will be when integrated with the HoloLens 2.

3.) Improved Hologram graphics. The graphics are expected to be clearer and up to date compared to the previous HoloLens.

4.) A better processor will be installed to handle the AI and the improved hologram graphics. In addition to this, there will be less delay in response time when using the HoloLens 2.

5.) There’s a possibility of a new design and couple of additional features. These new features are still unknown, but rumor has it the material might be different and lighter weight.

Confirmed details will be released in next Thursday’s blog post after the Mobile World Congress on February 24th.

Will the new HoloLens be incorporated into the market for more commercial uses?

What new sensors will be added to the HoloLens for better use and more applications of the tool?

What additional uses will the new HoloLens 2 have when AI is incorporated into the device?

Source: https://www.digitaltrends.com/computing/hololens-2-news-roundup/

Military Uses AI Technology for Drone Applications

The US Army is increasing its use of drones to expand and improve capabilities and awareness on the battlefield. This use of drone technology is apart of the Army’s initiative to integrate emerging technologies such as AI (Artificial Intelligence), better resolution sensors, and faster processing speeds of computers.

They’re using a “MacBook” size tablet to operate multiple drones because of a new operational infrastructure backbone developed in a partnership with MAG Aerospace. This technical blueprint system is owned by the Army and will allow soldiers to have quicker access to each drone, which will be incredibly useful in combat environments where live and instant video feeds are important.

The drones will also be able to operate on their own with the use of AI technology and can also be operated by the soldiers on the ground if needed. AI technology and the use of drones are making huge strides in development and use for military applications.

Will this technology be incorporated into the consumer market in the near future?

How can this technology be used in supply chain and operations for business applications?

Will there be additional applications for drones with further development of AI technology?



Amazon Delivery Robot Development

Amazon is testing and developing an autonomous delivery robot called “Amazon Scout.” The robot was developed at an Amazon R&D facility and is currently being tested in a neighborhood just north of Seattle, Washington to see how it performs. Through this testing and studying how the robot is performing in the neighborhood, Amazon will see if integration and future expansion is worth the investment.

For the testing phase of this initiative, the robots are accompanying Amazon delivery employees and are following very specific programmed routes. As testing progresses, the robots will operate on their own and be completely autonomous.

Amazon is always trying to find new ways to use technology and improve its supply chain and customer service. First, it tried using drone technology to deliver packages, but the drone initiative is currently on hold due to government regulations, specifically with the FAA (Federal Airline Administration).

Will this project be expanded to other industries like food delivery services?

Will other logistic companies like UPS, FedEx, and DHL integrate this technology in their supply chain capabilities as well?

How long till consumers across the country start interacting with autonomous delivery robots to receive their orders?

Source: https://www.supplychaindive.com/news/amazon-tests-small-autonomous-delivery-vehicle/546763/

Tesla Tunnels

Tesla recently released their solution to the ongoing problem of traffic, which is building tunnels underground by access via car elevator to help mitigate less cars on the road.

Reporters were were able to take a ride through a prototype tunnel at Tesla’s showcase presentation. In the tunnel cars will be able to reach speeds of 150mph, but during the test drives they drove much slower than that.With all the hype and optimism for this new idea, there are a few limitations. First, cars must have an autopilot feature as the car is driving through the tunnel. This allows the car to navigate through the tunnel and respond faster than a person, mainly for safely reasons as cars will driving at high speeds and reaction time is incredibly important.

After the presentation, reports noted that the ride was a little bumpy, but thought it was a realistic solution to America’s growing traffic problem. In addition to this, Tesla is still in the works to develop more tunnels and receive permits from the government to expand the tunnels.

Is this a realistic solution to the ongoing traffic problem in the USA?

Will all cars in the future have autopilot features to access these tunnels?

Will the government allow Tesla to build more tunnels to solve this problem?

Source: https://www.youtube.com/watch?v=8VU2u8rUKgc

Self Driving Cars at CES 2019

The 2019 Consumer Electronics Show in Las Vegas this year revealed a lot of tech in the car industry. Mostly in regards to self driving cars and improving the user experience by adding new tech in vehicles.

For instance, KIA designed a prototype that adjust the car cabin based on your mood, and will adapt your preferred display panel based on facial recognition.

BMW showed off its self driving motorcycle and backwards tech for 2019 BMW cars. The backwards tech allows you to plan you backwards driving route where margin of error is small. For example, backing out of a tight parking garage with little room for error.

Toyota introduced its Guardian 4.0 Self Driving tech which will help in saving lives on the road. The tech allowed the car to take over the vehicle when there’s an emergency. For instance, if a car pulls out in front of you randomly, the car’s AI will take over the car and react faster than you can to avoid an accident.

Will Toyota Guardian 4.0 tech become a new safety standard for the car industry?

Will the prototypes presented by KIA and other car manufactures become reality in the new feature?

Will there be complete autonomous vehicles on the road or a mix of self driving AI and human operating vehicles?




Google AI Translator

AI has made major advancements over the years. IBM came out with Watson, which is currently being used in the medical industry to diagnose patients, and has even been more accurate in diagnosing patients than a human doctor. This high accuracy is due to machine learning and very complex algorithms.

Google last year showed the world its developed AI Google Assistant, which can schedule haircut appointments and more complex tasks besides making a phone call or looking up a google search. Please see link below for Google AI.

Now, it’s not even a month into 2019 and Google has released upgrades to its AI Google Assistant. This upgraded Google Assistant is a universal translator, and, based on people who’ve used the universal translator, it works nearly faultlessly. Please click link below for demonstration.


Despite major criticisms of AI with people calling for regulations out of fear of machines taking over the world, this AI feature is something everyone can support. Having a translator readily available at hotels and many other types of business that need a translator will save on cost and time.

How will this AI feature impact businesses that need translators readily available?

What additional features of AI would prove most useful for business and customer applications?

Will there be more job potential and growth in the AI development industry with the future potential of the AI industry?