I have personally experimented with three lab experiments that deal with photolithography: microfluidics, microletters, and 2-photon lithography. Microfluidics is the field of science that encompasses fluid manipulation, taking advantage of the fact that fluids act differently at a microscale. One example of this is how water acts as a non-Newtonian fluid at a microscale, meaning that unlike at the macroscale, water‚viscosity depends on the force applied to it. It would then be useful to explain how there are many biological applications for microfluidics. My experiments with micro-letters provide insight into the process with which we transcribe letters, writing, or any other patterns onto microchips using photolithography. Ben Chen is a junior at Deerfield Academy and an aspiring engineer who discovered the wonders of nanotechnology this past summer. Ben is a well-rounded person with many interests, but his core passions lie in STEM and certain sports. He hopes you’ll be able to learn something new through his talk about photolithography (one of the processes behind nanotechnology’s success), its uses in our current day and age, and its potential in our future. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
The long-term impact of the core technology of blockchain and singularityNet.
Arguably the most likely way we will first discover alien life on another planet will be using the power of atomic spectroscopy.
Aliens will most likely leave a tell tale trace of their life in the atmosphere’s of their planet. But how do we know what chemicals the atmosphere of a distant planet contains? The answer is atomic spectroscopy. If we see a planet passing in front of it’s star, some of that starlight is absorbed in a very specific pattern called an atomic absorption spectrum. Each element has a specific pattern like a barcode, so through careful analysis of the light it can tell us which gasses are in the atmosphere and their proportions. We already use this technique for other space objects like stars and nebulae, measuring properties like temperature, density, ionization and relative velocity. This is a gift that nature and quantum physics has given us and the majority of what we know about the universe is based on this technique.
This video is the sixth in a multi-part series discussing computing. In this video, we’ll be discussing the rise of GPU computing and the role it will play in AI computational tasks.
The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intellligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.
The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.
Artificial Intelligence or AI is transforming our society and impacting our day to day lives in many areas. AI and automation in general will probably continue to improve and change our way of living in many ways. But the challenges with artificial intelligence systems are unique, and the risks involved in AI cannot be overstated. One such pressing issue that is already manifesting itself today, is the use of artificial intelligence in the creation of LAWs… And they are not what you may think!
In the context of AI, LAWs, stands short for Lethal Autonomous Weapons. It is rather an unfortunate and confusing acronym but also goes by with many not so popular names such as: Robotic weapons, autonomous weapon systems, killer robots, slaughter-bots, etc. They are autonomous military systems that can independently search for and engage targets without human intervention.
In the history of military warfare, the invention of gun powder is considered to be the first revolution. Nuclear weapons are considered to be the second revolution. And autonomous weapons may very well be the third revolution.
LAWs may operate in the air…On land….On water…Under water….And even in space. The Pentagon wants to invest close to $1 billion in AI and machine learning, including $268 million for the new Joint Artificial Intelligence Center for AI tools. With the development of AI systems, drones that can autonomously find and eliminate a targeted individual are only years away not decades. Artificial Intelligence systems for drone technology are improving rapidly. At this point, the issue is not with hardware but with software, meaning how fast new AI algorithms can be developed and be implemented for certain military purposes.
A Quadcopter for example does not have to be equipped with a heavy machine gun to engage its target. A drone geared with a pocket pistol sized gun targeting vulnerable parts of the human body such as the eye-balls, could be and will be probably used for assassinations.
We’re about to enter a new age of Artificial Intelligence technology where high profile individuals’ security, will be increasingly at risk from multiple simultaneous autonomous drone attacks.
Deep learning is a sub-field of AI that has taken the world by storm, in large part, since the start of this decade. In this sixth video in my artificial intelligence series and as for the purpose of this deep learning series, we’ll explore why it has exploded in popularity, how deep learning systems work and their future applications, so sit back, relax and join me on an exploration into the field of deep learning!
Some believe that supercapacitors might be integrated into future EVs. But, what exactly is a supercapacitor? And what makes them so different from batteries? Are they really the future of energy storage?
Here is a beginner’s introduction to artificial intelligence, machine learning, and deep learning. Learn quick stats on the growth of AI, how to use and distinguish supervised learning from unsupervised learning, what is labeled data, when to use a clustering algorithm, and more.
What’s the tiniest technology you can imagine? As small as a grain of rice? Or a grain of sand? Perhaps the width of an individual strand of spider web? Smaller still. Nanotechnology is so small, in fact, it is narrower than a single wavelength of visible light. To put that in perspective, it’s about the length your fingernails have grown since you started reading this overview. But when we talk about nanotechnology, we don’t mean anything with a circuit board, but the application of scientific knowledge for practical purposes. By utilising carbon nanotubes in a certain way, it’s possible to create tiny computer chips. With tiny chips come tiny computers and tiny robots. And with tiny robots – or nanobots, if you will – a whole world of possibilities opens up… 3D printers, invisibility cloaks, space elevators – you name it! Of course, with all exciting, experimental and potentially disruptive innovations come areas for concern. What impact could such technology have on our security, or the economy? How can it be regulated? Find out more in the latest video from iluli by Mike Lamb. Making sense of technology, one byte at a time.