I chose a topic titled The Future of Computing Depends On Making It
Reversible. I found it fascinating because it taught me some things about
the past In this article it talks about the evolution of the processors
over the years. From the single core processors to the multi-core ones
we use today. It is expected that the processors will stop getting faster
in the near future because they are already as small as they can go
and they have parts of what is referred to as "dark silicon, parts of
the chip that are turned off to reduce heat. This article taught me a
lot and was a good source for the inner workings of processors. The
topic I chose to write about is the 3D printed ventilator for the COVID-
19 patients. I chose to write about this topic because even before this
pandemic, our scientist, and doctors have been trying to come up with
a cure for this virus. Hospitals are full, and ventilators are being used
up. This could help a lot of people because this 3D printed ventilator
could possible help about 20 corona virus patients at once instead of
each patient using one ventilator at a time which could take them up
quite faster. This could possibly alleviate the COVID-19 cases, and empty
out the hospitals a bit and it could also help the death rate. Since
COVID-19 is a respiratory disease, ventilators will be in constant use at
least until a vaccine is brought about. After reading the article, Mohamed
Ishag explained to us how they would be used. According to Ishag who
has his masters degree in electrical engineering, the 3D printer device is
made of an oxygen supply line an air compressor and a UV light that
sterilizes the air.Ishag explains that it's pulled from the supply line and
passes through a valve which distributes air to the patients. Increasing
the computing power of the processors has become a growing need. With
the latest advancements in technology, chiplets are being used for the
remaking of the processors. Intel and AMD are increasingly becoming
dependant on the chiplets to boost the performance of the computers. The
growing need to reduce the large chip sizes and ever increasing costs
have led to the evolution of a solution (Moore, 2019). Now, processors
are being constructed with smaller-sized chiplets that are less expensive
combined with high bandwidth connections in a single package.
Intel used Foveros, a 3D chiplet integration technology to produce
Lakefield mobile processor. With high-data-rate, Foveros helps in providing
more data and power, thereby enhancing the overall power of the
processor (Moore, 2019). It helps in boosting graphics computation and
consumes only one-tenth of the standby power. Foveros enables high
performance computing.
Chiplets are growing to become the ultimate future of the processors.
The chiplet technology will help in enhancing the capability and
performance of the processors, thereby leading to enhanced computing.
Chiplets will enable the remaking of the computer systems .It would also
result in the availability of more flexible, cheaper, and mix-and-match
systems. With the use of the less expensive technology, availing high
performance computing becomes possible. The article i choose to write is,
How Online Learning Kept Higher Education Open During the Coronavirus
Pedemic. I chose this article because, I find it very intriguing and
challenging to kids, young and old people. Online learning is something
I truly enjoy doing, but not everyone enjoys online learning. Technology
has become the only source of learning that we can depend on, which
is very scary, challenging and yet a very big push to our brains if
used proper. Online learning is not something that the older generation
is used too. They struggle alot with having to know how to access
the internet for their basic uses. Now they have to actually learn online
if they are in school, which makes it more complicated and difficult.
The coronavirus has made having to study online harder to so many
people. I just hope we can get through this Pandemic. That will give
so many people a chance to study a more happier healthier way for
their brains. The topic I chose to read was “Sony Builds AI Into a
CMOS Image Sensor” it’s Basically a machine that can take a small
section of a image and find its originality and also the battery life last
almost a year of one battery , The article also mentioned other
companies have this idea but they are the 1st to actually distribute.
The benefit of such a system is that it can discard all kinds of
unnecessary or unwanted data before that data ever goes into the main
device’s storage or processing pipeline this intelligent pro type is only a
prototype available for testing but not production you may expect a
higher drawer or latency from a chip integrated AL processes. Cameras
could easily go blur on a object in public but the image sensor picks
up everything very clear it also has the ability to edit images and do
all kinds of cropping ect basically it’s making your images as perfect
as possible for even being sent to the main logic board ect I’ve
learned that technology is advancing very rapidly and it Makes me more
excited for the future. The article I found interesting was on the right
to repair movement and the widespread effects it has. Managing several
Apple products, I am very familiar with the difficulty of repairing and
upgrading devices. However, I was unaware of widespread impact that it
has on other areas of life. The example they give in the article is
how farmers are now struggling to maintain and repair the software used
to run their equipment. What was once analog levers and valves are
now buttons an switches found in the cab. I am hoping that
manufacturers will start to embrace the right to repair movement. In the
past, I have replaced iPhone screen which wasn’t necessarily hard but
finding the parts needed was extremely difficult. However even when I
had found the parts I needed the price for them almost made it more
worth my time to just buy a new phone. If you remember landline
phones, you will recall that when it was broke, it was repaired by "the
phone company", i.e. AT&T.The fact is modern tech is complex and
requires extremely expensive equipment to manufacture and repair.
Frequently, one of the issues that makes repair so difficult is a design
decision to allow for exactly the convenience and form factor consumers
demand. Chiplets is the new way of building the boards means
combinations of other processors under one chip so they can interconnect
and give maximum throughput.The chiplets uses mix-match means users can
take different processor chips and integrate them into one chip which
gives better performance and speed.While designing such chiplets, cost and
size is the main issue which can be corrected in upcoming years. Some
researchers have use different chip processors and build the chiplets which
are more powerful than ever.Combining other brand processors is always
risk because the different power consumptions, clock speed, compatibility
and performance issues can cost you entire project.In current market only
one approach has used which is mix and match by testing different
processors under one chip. This complex process followed by many
companies and they tied up with other companies to build highly reliable
processors and reduces cost. In world many of the student seeking career
in IT technologies and IEEE like institutes are providing many solutions
and courses to become professional. IEE also has its own blog where
peoples share their experiences and discuss the new and old technology
related stuff. On the internet many sites showing the latest market news
and technologies which can have future in upcoming years.IEE spectrum
is another kind of information site and blog where all latest engineering
an technological information presented. In current market many industries
are looking for more compact and reliable technologies. To survive in
such market every individual need to be updated their skill so they can
match up with industry. The latest new trends and technologies can be
seen in IEEE sites so, other professionals are keep reading such articles
about new and upcoming technologies. The drawbacks of old technologies
and solutions with new technologies been seen on the site.All electronic
chip manufacturing companies and their R&D department keep looking into
new technologies so they can easily develop new software and chips
which can be more powerful and technology compatible. The artical that
I chose to write about from the IEEE Spectrum is the COVID-19 Digital
Contact Tracing where Apple and Google emerged and worked together
as MIT tests validity. I thought this was very intriguing that the two
largest smart technology software developers in the world come together
to win the fight against the COVID-19 pandemic but will this create a
breach in our privacy. The artical states that these "software developers
have built digital contact tracing apps for Apple and Google mobile
operating systems, which jointly encompass the majority of smartphones
around the world".In perspective this system can automatically notify people
when they cross paths with someone that has tested positive for COVID-
19. According to this article, other countries have already started using
this system and it seems to be working for them. Will the United
States follow suit? Apple and Google have made our privacy thier main
focus. They stated that the "apps using their contact tracing application
interfaces or API's is only for use of government health authorities and
that people must consent before sharing positive test results". This basically
entails that the PACT project or the "Private Automated Contact Tracing"
system uses "bluetooth signals or "chirps" from phones within a 6-foot
radius. I think technology has come to reach outstanding heights in order
to come together against the fight of this invisible giant walking amongst
us all. The question is will state health officials use this technology and
an even better question is are we willing to use it?. The article that
I chose to write about this week is about how Sony built an AI into
a CMOS Image Sensor. It uses machine learning to figure out what is
being put to the sensor. This is very interesting, as the AI gets more
objects and images placed into its sensor it will become more and more
precise. The reason that i am interested in this piece of technology
would be due to the fact that if it becomes advanced enough, will it
be able to recognize individual people? With social media being as
popular as it currently is and understanding that data can be purchased
from these platforms, it wouldn't be very difficult to scan profile pictures
and have a name for the face. Using this technology for surveillance
could greatly increase the security cameras effectiveness.Understanding the
possibilities of technology will help you get an idea of what is to
come in the future, or what could have went wrong in the past.
Reading this article gave me an idea of how to troubleshoot computers
by critically thinking about all the possibilities. Understanding what the
component does and what would happen if it ceased to work. The article
I choose to write about from IEEE SPECTRUM page is temperature
screening device, contactless outdoor temperature check stations screens
people before they enter buildings. We all know that covid 19 has cause
change in this world. The disease has been spreading and infected
hundreds of thousands of people all over the world and has caused
many to be out of jobs, staying at home and have taken many lives.
These engineers are trying to develop a new device that can scan people
temperature to reduce spreading covid 19.
They have station which contain infrared temperature sensor which a
person would stand in front the station and the object test the person
temperature and the infrared temperature sensor reading the person
temperature and if the reading is high the machine will message the
person to get a covid 19 test. The overall process will take under 20
seconds. I can see where to create a technology like this to help
monitor people during this pandemic disease and to reduce the spreading
of the virus would need great minds and skills, these machines would
need maintenance and technician work to maintain and keep operating. I
chose the article How Online Learning Kept Higher Ed Open During the
Corona Virus Pandemic. I found this article very interesting, since I am
already doing online learning. So this really didn't have much of an
impact on me. But for many students and professors shifting to online
learning in a matter of weeks had a different impact on them. According
to the article something like this would take months or even years to
make a change like this. Everything just happened so fast, that all these
universities had to transition all the classes to distance learning. Even
though we live an ever changing technology world, shifting did not come
easy to some. The professors went from lecturing in a classroom to live
streaming on Zoom or video conferencing through other types of apps.
Which is kind of the same concept but some students found this to
be less interactive. This especially has been challenging for the students
who do not have computer, tablets or even internet to be able to make
this transition. Many students going to the campus physically was there
only way of attending class. At this point no one is really sure how
long this will last. There is also fear for many of going back due to
the circumstances. This pandemic has made a lasting impact on everyone.
And from my personal experience, this not only happened to higher
education but to our kids schooling. My kids were on spring break and
did not expect not to go back to school. It took the schools about a
week or 2 to get on board making the transition to distance learning.
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.
