Digital Identity and verification processes on blockchain will change the game for business and university background checks

There has been a global challenge finding enough qualified programmers , cybersecurity experts , nurses , truck drivers, teachers and more. But that’s also helped create an entire industry of fake experienced staffing companies.

Atlanta has quite a few of these firms who find offshore resources and build fake personas and profiles for these individuals who suddenly go from inexperienced to having 10+ years of experience over a one month “bootcamp.”

That’s not the only challenge though. Fake diplomas and fake work experiences are a bigger problem. And we wonder why all these systems go down , are hacked or trucks flip over.

Besides these “boot camps “ that offer these “services” there is a growing trend where people can just pay some website for a counterfeit degree certificate, from made-up universities. We’ve even watched as wealthy celebrities pay to have their own children be some fake high school sports star just to get into a good university.

Some of these fake degree websites have made over $30 million in one year. That’s a lot of fake degrees and personas and experiences. But while someone messing up JC Penny’s mobile app causes downtime , a fake nurse could mean life or

Death. That’s scary.

And now places like open courseware , udemy, coursera and a boatload Of other e-learning and online educational platforms exist and are booming. It’s expected to be valued at over $300 million dollars by 2025.

Education that’s available to all is good. But a qualification award system that’s more fragmented, insecure, a bit fraudulent at times and difficult to verify isn’t good at all.

How can hiring employers or universities trust people to have actually completed these online courses they claim to? Studies already show most people stop after a a few weeks. We already know plenty of wealthy celebrity children cheated an entire system. And that’s the ones who got caught.

Pagarba has worked on digital identity and verification blockchain and AI projects that allow business professionals , government agencies , college graduates, educational and training institutions to upload and store their professional or academic credentials on a immutable easily verifiable blockchain platform.

They could upload, certify , and verify transcripts, certificates, degrees , diplomas and more. And this system can verify university degrees, employment histories, and other professional credentials. The uploaded information will be time stamped on the blockchain and any changes that are made to a qualification are linked to creating a historical chain of education and certification archive.

These blockchain based Digital identity verification platforms simply offer the Credentialed holders the ability to upload their credentials to the platform, and then through a smart contract and machine learning algorithm they go from an unverified document to a validated credential. And it offers potential employers and universities a peace of mind that they are getting the best and the brightest and not some fake crew star or green AI expert.

The colleges and employers can upload these verified academic or work history Credentials and thus create a trail of a degree , certificate or work experience by verified institutions and organizations. These documents and metadata are cryptographically secured and stored on a distributed blockchain network. Blockchain offers immutability and security , thus preventing any 3rd party to edit, change, or remove this data.

Organizations who need to verify a candidate for a job or graduate college application will get Access to this verified and certified credential, while the original uploaded user has complete control over the distribution of these credentials within the blockchain system.

There is a cost to implement this new technology as well as figuring the tokenization or gas cost angle. But in the long run it’ll be far cheaper for the hiring and background processes for businesses and universities because it saves time and resources finding the right qualified and verified candidates. It also reduces the risk of hiring someone who isn’t fully equipped for the job.

Pagaeba has utilized public blockchain systems like bitcoin , stellar , ethereum and ipfs or storj. We’ve also built a

Digital identity app using Hyperledger Fabric and Sawtooth platforms.

FPGA over GPU and CPU

When would you use an FPGA ?

Maybe you need to optimize a chip for a particular workload, or you need to make changes at the chip level for some sort of upgrade later on. Use cases for FPGAs cover a wide range of areas and verticals.

They could be used inside equipment for video and imaging or advanced circuitry for a computer, or maybe inside a smarter Tesla , think Boeing or Airbus planes utilization, or even intelligent autonomous military drones or weaponry. The use cases and possibilities might be endless. Or infinite.

FPGAs are useful for prototyping or piloting application-specific integrated circuits (ASICs) or processors. Bitcoin mining for example uses the concept of ASICS.

These devices and boards can be reprogrammed until the ASIC or processor design is final and bug-free and the actual manufacturing of the final ASIC begins.

The company Intel sometimes uses FPGAs to prototype new chips.

They recently purchased or bought a company called eASIC.

Why you might ask ?

Intel’s thought process might be a way to accelerate its designing and prototyping process. This company , eASIC, produced something called a “structured ASIC,” which relies on a model that is in between an ASIC and an FPGA.

This ASIC with a FPGA design philosophy bakes the fixed layout into a single design mask for manufacturing. Far more efficient and optimized design process for prototyping. By being a fixed design like an ASIC, it is faster than a variable design, but without the die area benefits of ASIC-like power savings. However, it was designed in FPGA time, rather than ASIC time (up to six months saved), and saves power through its fixed design.

So what can a enterprise business or small business user do with an FPGA ?

FPGAs can be useful to SMBs and enterprise businesses because they can be dynamically reprogrammed with a data path that exactly matches a specific workload.

Think in terms of business and technology processes like Data processing , advanced data analytics, image recognition, data and network encryption, and data compression. Optimized FPGAs are also more power-efficient than running equivalent workloads on a CPU. So a great use case for the Internet of things (IOT). Far better total cost of ownership (TCO) and versatility too.

FPGAs are starting to become important in IOT and fields like Artificial intelligence, machine learning, AI on the edge, and neural networks

More importantly, FPGAs are gaining prominence in deep neural networks (DNNs).

Running DNN inference models takes significant processing power. Think of that P3 AWS bill. Graphics processing units (GPUs) are often used to accelerate inference processing, but in some cases, high-performance FPGAs might actually outperform GPUs in analyzing large amounts of data for machine learning.

AWS has FPGA ec2 instances available now

These Amazon AWS EC2 F1 instances use FPGAs to enable delivery of custom hardware accelerations. F1 instances are easy to program and come with everything you need to develop, simulate, debug, and compile your hardware acceleration code, including an FPGA Developer AMI and supporting hardware level development on the cloud.

Using these F1 instances to deploy hardware accelerations can be useful in many applications to solve complex science, engineering, and business problems that require high bandwidth, enhanced networking, and very high compute capabilities.

Think of use cases where you might have a modest number of distinct operations that account for significant portions of application in run-time. These could be very useful for big data analytics, genomics, electronic design automation (EDA), image and video processing, compression, security, and search/analytics.

Microsoft is also starting to put Intel FPGA versatility to use on their Azure cloud platform

Microsoft’s Project Brainwave provides customers with access to Intel Stratix FPGAs through Microsoft Azure cloud services. The cloud servers outfitted with these FPGAs have been configured specifically for running deep learning models. The Microsoft service lets developers harness the power of FPGA chips without purchasing and configuring specialized hardware and software. Instead, developers can work with common open-source tools, such as the Microsoft Cognitive Toolkit or TensorFlow AI development framework.

FPGAs are becoming very important. And useful.

Ask a Pagarba neoteric innovation sandbox lab

subject matter expert to tell you more ,

Contact FPGA expert today