Sabre88 welcomes eFast into our portfolio of contract vehicles

eFast or Accelerated and Simplified Tasks is a contract vehicle under the Federal Aviation Administration which deals with Air Transportation Support, Business Administration & Management, Research & Development Computer/ Information Systems Development, Computer Systems Support, Documentation & Training, Engineering Serves and Maintenance & Repair. Our strong history in these fields of performance have not only granted Sabre88 a seat at the table but will help us provide stellar completion of the contracts awarded. eFast was created in 2010 and since has awarded over $1.5 Billion dollars in opportunities to multiple vying small businesses. eFast offers Firm-Fized Price, Cost Reimbursable, Time and Materials, Labor Hour contracts among others. eFast offers contracts in several different locations throughout the U.S.

The contract vehicle streamlines the procurement process online through a web-based acquisition tool in accordance with Federal Aviation Administration standards. We look forward to working through this contract vehicle and the opportunities it presents us.

Editor’s note:
 Original Sources

5G the deliverer of a Safer, Faster, More Reliable Internet

We care about our WiFi(Wireless Fidelity). WiFi has in the past decade evolved with the rest of our technology as humans. WiFi keeps us connected to loved ones, co-workers and information among its list of many uses, and now it is proposed to get faster. 5G is the next proposed super connectivity, speeds of over 1 gigabyte per second will be commonplace making room for not only faster searches but also clearer video resolution 4K and 8K possibilities, higher quality audio and less wait time online.

5G technology has been built on the support system of 4G LTE, as it focuses on improving 4G rather than replacing it altogether. 5G connectivity will run on a higher frequency. Higher frequency waves will mean that we will have quicker data, however with great power comes great cost, with the massive increase in connectivity speeds the cost of that Data too will rise. 5G will require less distance between antennae meaning with the introduction of 5G, consumers will start to see possibly multiple antennae in phones, tablets and computers. On the corporate side business owners will have to deploy small receiver cells closer to routers, and must also expect to pay higher data rates.

On the non-consumer market of 5G there is the possibility of pushing technology faster into the future. Faster connectivity allows inventors the possibility of new applications being supported in the areas of robotics, machine control and factory floor automation. 5G will help push forward self-driving cars that can respond and prevent possible accidents within a millisecond. 5G will help automate processes completed by software and hardware. 5G will allow medical devices to transmit split second reports from patients bodies to observing medical professionals, overall it will speed up discussions between corporations and individuals. Sprint’s CTO John Saw recently said in an online blog post “These include technologies you might not think of right off the bat, such as health care devices that continuously send information wirelessly to a control center. It isn’t just about the demands of smartphones, but rather the millions upon millions of smaller connections that will add up to a much greater whole”.

5G is the future, it is projected to be made available in 2020.

Editor’s note: Original Sources

Machine Learning: Can Machines have Brains?

A brain is a complex organ of human body. It took a lot of time to study Brain and its functionalities. But as soon as we understood Brain the next thing we focused on is to create one. This process involves imparting intelligence to the Machines, a more popular name for this is Machine Learning. Machine Learning gives “computers the ability to learn without being explicitly programmed.” It explores the study and construction of algorithms that can learn from and make predictions on the data. Nowadays, Machine Learning has become a hot topic because of its widespread applications.

Machine Learning has made significant contributions to various organizations. It can reduce the human-factors burden for the government across national security and public safety, policy making, financial services, entitlements and benefits or infrastructure by:

  • Automating detection, tipping and cueing of patterns and anomalies and determining whether they are threats or opportunities.
  • Classifying, labeling and/or tagging entities and events as well as discovering the non-obvious relationships between them.
  • Aiding in decision-making and operations.

Also, Machine Learning and AI represent incredible opportunities to enrich the operational data on which government runs. This transformation signals a number of implications for government:

  • They will be at the center of initiatives to modernize agency systems and business processes, driving the need to break down data silos.
  • The human-computer interaction will drive enhanced feedback, more-granular data access controls and greater security, creating a closed loop for continuous improvement of algorithms and techniques.
  • Design, development, testing and application of algorithms must be done in a ‘fail fast’ and iterative experimental environment while not triggering complete ‘rip and replace’ of legacy systems.
  • Agencies will need a database management system, such as an enterprise data hub, that can take advantage of new technologies. Systems should reduce data wrangling time and complexity so the insights derived from AI and machine learning can be easily operationalized.

Other Applications of Machine Learning in Government Agencies:

Cybersecurity: Identify abnormal activity, correlated nefarious patterns across multiple data types and inputs, and prescribe actions based on all the factors. Examples include insider threat, network design/operations, threat detection/alerting and software defined networking.

Situational Profiling: Based on the information at hand, identify what is important and where to look. Customized view of complex data. Examples include risk heat map, identity intelligence, activity based intelligence (ABI)/object based production (OBP) and event/activity prediction.

The pattern of Life: Identify trends and correlations among different groups to detect various subtle and complex patterns. Gain a deep customization of response, based on a thorough understanding of the players involved.

Machine Learning is mature enough to start accurately predicting medical events—such as whether patients will be hospitalized, how long they will stay, and whether their health is deteriorating despite treatment for conditions such as urinary tract infections, pneumonia, or heart failure. Advanced machine learning can discover patterns in de-identified medical records (that is, stripped of any personally identifiable information) to predict what is likely to happen next, and thus, anticipate the needs of the patients before they arise.

Editor’s note: Original Sources

Billy Sokol. (Jul 11, 2017). How AI and machine learning can drive government efficiency. Retrieved from

Katherine Chou. (MAY 17, 2017). Partnering on machine learning in healthcare. Retrieved from

Virtual Reality: Welcome to the Artificial World

Technology has taken a big leap in the past two decades and now it has entered in to a completely new world called The Virtual Reality where the impossible becomes possible. Virtual Reality (VR) can take you to the grassy fields of Scotland while you’re at home. VR can give you the experience of a roller coaster ride while you are sitting on your sofa. All this can be done in the world of Virtual Reality without any physical interventions. Although Virtual Reality was introduced in 20th century, due to limited technology VR was not very popular. With the recent advancements in the technology, VR is now taking over the world by storm. This has led to the advent of many products like the Oculus, Google glass and Samsung Gear VR.

Technically, Virtual reality is a computer technology that replicates an environment, real or imaginary, and simulates a user’s physical presence and environment in a way that allows the user to interact with it. VR is a big step ahead of 3-D modelling that allows you to see things or places around you that don’t really exist but looks so real, it almost (if not actually) makes you feel like you are right there in the action. It is an emerging trend which is now gaining more public attention.

The growing popularity of Virtual Reality Technology had diversified its application. It has been implemented by many Healthcare and Military organizations:

Healthcare and clinical therapies

Healthcare methodology has been greatly affected by VR technology. Many VR devices are being used in clinical therapy, and the results are significant. One of the example is, Anxiety disorder treatment. Virtual Reality Exposure Therapy (VRET) is a form of exposure therapy for treating anxiety disorders such as post-traumatic stress disorder (PTSD) and phobias. It is believed that when VRET is combined with other forms of behavioral therapy, patients experience a reduction of symptoms. In some cases, patients no longer meet the mental disorder criteria for PTSD after a series of treatments with VRET.  Also, Immersive VR has been studied for acute pain management, on the theory that it may distract people, reducing their experience of pain and flooding sensories with a positive experience.

Education and training

VR is used to provide learners with a virtual environment where they can develop their skills without the real-world consequences of failing, for example U.S. Navy personnel using a VR parachute training simulator.

Military Use

United States was one of the first to develop the use of VR for military training. Later the United States military announced the Dismounted Soldier Training System in 2012. It was cited as the first fully immersive military VR training system.

Space training

NASA has used VR technology for twenty years. Most notable is their use of immersive VR to train astronauts while they are still on Earth. Such applications of VR simulations include exposure to zero-gravity work environments and training on how to spacewalk. Astronauts can even simulate what it is like to work with tools in space while using low cost 3D printed mock up tools.

Flight and vehicular applications


Flight simulators are a form of VR pilot training. The aim is for the pilot to experience a sense of immersion and to feel as if they are flying a real aircraft with real controls and under real life conditions. They can range from a fully enclosed module to a series of computer monitors providing the pilot’s point of view. U.S. Air Force has been using VR training from a long time. By the same token, virtual driving simulations are used to train tank drivers on the basics before allowing them to operate the real vehicle. As these drivers often have less opportunity for real-world experience, VR training provides additional training time.

Editor’s note: Original Sources