While distance learning was easy for me, it became challenging when I had to help my kids
make that transition. The challenging part was trying to help them over the phone while I
was at work. I was still considered essential, so I didn't have the option to stay home. So I
became their teacher as well while being guided by their actual teachers. We just hope to see
the light at the end of tunnel and hope to resume our normal daily lives again. The article
that I decided to write about is, In the Future, “AIs—Not Humans—Will Design Our
Wireless Signals” by Joe Downey, Ben Hilburn, Tim O’Shea and Nathan West. I work in
the telecommunications industry, so I am very aware of how things are always evolving and
changing. The article makes light of the fact that with every generation the demand for
faster, better, and more innovative technologies we need to find ways to address these
demands with more complicated solutions. So, it’s no surprise that we are looking to turn
more and more to machine learning or Artificial Intelligence, as things become more
complicated. Artificial Intelligence can help in situations where human engineering has hit a
wall and help to move past it to find a solution. I can see how working with AI to
troubleshoot computers can benefit us. AI can assist us with diagnosing and triaging issues,
which can help us be more accurate and efficient. The use of AI in telecom has and is being
used by NASA, no surprise there. I think that telecom engineers working with AI will be the
norm in the future. The article that I chose this week from the IEEE spectrum. Is on how
online learning kept higher Ed during the Coronavirus crisis.I chose this article because of of
course the current events. And to also think about the world on how things have changed the
last three months. And pretty much nothing will not be the same after all this is said and
done.The article basically explains that the world changed as far as education. Campuses and
universities pretty much closed down. And pretty much find an alternative for students to
continue their education.Which they explain more in detail of professors and students
converting over to online learning.In my personal opinion this is great for people like me.
But not only just me but especially for someone that’s younger that does not have to put
their education on hold.One of the main issues were stated as far as adjusting to it. Specially
for those that are not familiar with teaching a class online.But ,it clearly states after a while
it wasn’t as bad as what people thought.A good percentage thought that it was very easier to
learn and teach online. While others felt as though they were rather be in a classroom on
campus. Having a more face-to-face interaction with each other.Even though all online
learning has been around for quite some time. It also comes with a few problems as well.Of
course not everybody has access to a computer or Wi-Fi. Most common troubles you have
with online classes is software .You may come across no problem as far as web browser.
Some online classes do not support some of these web browsers. I believe some recommend
chrome . While others may recommend Foxfire. The article I choose to write about is
"Quantum Computing Milestone: Researchers Compute With ‘Hot’ Silicon Qubits". This
article is important to the steps they are taking to make quantum computers. Quantum
computers are the future, they are going to be thousands of times faster that computers that
we currently have. There are problems a Quantum computer can solve that a would be
impossible for a normal computer. Its crazy to think with all the technology that we already
have there is so much more that we can still unlock. One of the problems with quantum
computers is that in order to function they need to be ran at a very cold temperature. Right
now a Quantum computer runs at 1 Kelvin, one team of researchers were able to run a
Quantum computer at 1.5 Kelvin making it considered "hot". To us it really may seem like a
small minute step but in the larger picture of things its a successful step of progress. These
computers are a long way from being able to be put in your home. We must also remember
how large the first computers were, and how far we have come since then. I'm sure in the
future we will have quantum computers similar to what we are using as phones now. The
article that I have picked from the IEEE Spectrum page is about how networked science has
surfaced with 81 potential COVID-19 therapies. Network science has been a thing since
2007. It is the science of interconnected relationships among large groups to gain and give
information about a topic or in this case, Covid-19. From what the article states, that patients
usually have a hard time breathing but also, they have lost the sense of taste and smell. This
is critical to anyone that has had symptoms of the virus. We live in a time where its kind of
scary thinking about doing anything with people around. I know where I work, we had 2
confirmed cases and I had to quarantine myself for 2 weeks because I was showing
symptoms, but my 3-month-old son was as well. I know that a lot of businesses are not
happy about not being open but my question to them is: Is it worth opening today and maybe
not tomorrow? I ask this because most businesses that are open are trying to reopen because
they believe people are out spending money are wants and not needs. The article I chose
from IEEE Spectrum was "Sony Builds AI into a CMOS Image Sensor". I chose this topic
because i had many encounter when people lost their passwords and could not remember
them we can go through this and recover important information. Sony is saying in this article
that they can no see images and can be sent to a cloud or a local hub. I found it very
interesting how this article states that it will have practically zero latency between image
captures and its processing, also to include low power consumption. This will also lower
cost and this can also help with IoT (internet of things) devices to run for longer on a single
charge in the future ( wearables, toys, cameras and smart appliances). This meant a lot to me
because there are plenty of times when I have to connect things to my computer and either
faults occur or it just takes to long to download the software i need for a certain device. "
This smart image sensor uses digital signal processing of a machine learning algorithms to
decode what it sees". The article I chose to read was "Why Wi-Fi Stinks—and How to Fix
It" by Terry Ngo. In this article, it explains as to why Wi-Fi signals seem to slow down so
much and so often. Because data travels along the "wireless highway" it's common for there
to be a traffic jam of sorts when, according to Ngo(2020), "6.4 billion connected devices are
in use around the globe". (para.2) Ngo(2020) also explains that when two "conversations"
between devices collide then all of them go silent and try again later. (para.8) The more
often conversations collide then the longer it takes them to try and repeat the process, and
with so many people using wi-fi, it's no wonder as to why "congestion has gotten so bad in
many regions that it has pretty much made the 2.4-GHz band unusable for transferring data
at high rates." (Ngo, 2020 para.9) By reading this I learned that if I'm helping someone
troubleshoot any internet problems they're having then it may not be their computer acting
up. Instead, it could just be high-traffic hours in their area or they have an outdated internet
service that doesn't work very well anymore. The article I chose to read from the IEEE
Spectrum was about the different ways chiplets are remaking processors. From what I saw
AMD and Intel are depending more on chiplets to boost performance; CEA-Leti shows just
how far the approach can go, they even used six chiplets to create a 96-core processor with
the hopes that the research and technology could one day incorporate chiplets from different
vendors. usually if you require more computing power in your processor the solution would
be to add more silicon, but with the complexity and cost going up this solution may no
longer be viable. A more viable solution be worked on and researched by ISSCC, AMD,
Intel, and the French research organization CEA-Leti is processors being made up of
collections of smaller and less-expensive-to-produce chiplets bound together by high-
bandwidth connections within a single package. The end goal of this research is to allow
chiplets from multiple vendors to all be integrated with little effort, with the help of
standardized interfaces. Which would result in cheaper, more flexible mix-and-match
systems. One way i could see this being useful in troubleshooting computers is the flexibility
of the processor used in the motherboard.
The article I read from the IEEE Spectrum was about How Facebook is Using AI to Fight
COVID-19 Misinformation and how Facebook details the weapons deployed against fake
corona virus news. The article covered how Facebook is using Artificial Intelligence to
properly ensure that their website platform is producing correct news on the COVID-19
coverage while filtering out and removing any false information on the pandemic. In
addition, the article covered how scammers are using Facebook during these times to
promote products that are considered in high demand to protect yourself from the virus, but
ultimately are taking your money and providing no products at all. The part of the article
that interested me the most is how the scammers are using different images and changing the
pixel counts in the photos to pass along the scam all while avoiding any troubles coming
from Facebook. Facebook has acknowledged that AI is not the complete answer to the
problem, but it has been beneficial in controlling what is being spread through their website.
This article helped me understand how AI can be used to troubleshoot problems within your
computer and you can use that AI feedback to read information on how to fix your computer
should you start having troubles in the future. I chose to read an article about hydrogen
power. It was about a professor in Carmel Indiana working with the local government to
retrofit five trucks owned by the city. This type of hydrogen system is different in how it is
used, instead of having tank or using hydrogen that doesn’t burn so clean it uses water and
an aluminum pod. Using this system makes 15% better fuel mileage and 20% less carbon
dioxide. Later in the article it talks about how this isn’t the only invention he has made
better back in the 1960’s he helped make the common LED we use a lot better. This made
me think of how I can use what I read to help me troubleshoot. I thought about a new way
to streamline the approach of trouble shooting from recording faults I have had and
corrected into a word document. Also look all around the affected system to see if anything
else could have failed or even have the potential to failing in the near future. The topic I am
choosing is "Aerospace." It is more the field that I would love to work. I love to fly or
anything that has to do with flying! Flying a helicopter in the Army was one of my goals
that I did not accomplish in my life. If I could get a job a NASA, that would be awesome. I
learned about how UPS is wanting to deliver Amazon packages with drones. I have been
hearing about this for a while now, but I know United States has strict flying laws that
makes a lot of hoops for them to get it approved. They are also wanting to use it for
medication delivery witch I think that would help and also save lives. I am actually wanting
to get one myself to recreational use and I know some people has their negative thoughts
about drones spying on them and others, but that is not what I want to use it for. If I could
get any job dealing with anything that flies would make my career and it would not feel like
a job because I would love to go to work every day. I chose to write about "Preventing AI
from deviling its own secrets". Machine learning algorithms are the very thing that peoples
lives depend on it in a trustworthy way. The trust surrounds us within our lives as we go to
the bank, or operate our smart devices and drive our smart cars. These neural networks run
on chips within the system itself. These computers are vulnerable to hackers, specifically
because there is no protection from cloud or a significant data base that information is being
directed to. Intern, this quick ability to compute data is where the weak link is that hackers
are able to reengineer the chip within the device with a concept known as differential power
analysis. After access the criminals can measure the power of the device. This hayness
method has been proven effective against the cryptographic algorithms that protect
information on smart chips in credit cards. Aydin Aysu, an assistant professor for the
electrical and computer engineering department at North Carolina State University in
Raleigh, and his comrades accustomed masking by splitting intermediate computations into
two randomized shares that are different each time the neural network runs the same
intermediate computation. Mayhem is a machine that utilizes A.I. to find software
vulnerabilities and patches them. A team at Carnegie Melon University set out to build a
technology that would make software safe automatically. The technology was invented
because, DARPA (Defense Advanced Research Projects Agency) recognizes that the U.S.
one day will not have enough manpower or tools to fight off cyber-security threats. The
challenge was to design and build a system that not only recognizes a problem in the
software code, but also figure out how to fix the software code to make it more secure.
Software developers tend to be on a deadline and focus on making their software work,
sophisticated software can have millions of lines of code and any of those lines of code
could potentially open a door to malicious actors. Mayhem was invented to give people a
way to check their software and ensure it's safe and free of vulnerabilities.
This technology is still in it's infancy, but has huge potential in government and civilian
applications. The fact is humans can analyze code for bugs, but since some software can
have millions of lines of code the potential for error is huge. Mayhem and other similar
technology will be more efficient and catch a lot more mistakes then humans in less time.
I think technology like this will be utilized a lot in the future especially in applications like
self-driving cars, and other advances in computing/hardware to make them safer, it will
make the software we use have a smaller attack vector and less susceptible to malicious
actors.