Chaudhari, Joseph. A Group. Week 2 Blog (AI - Future - Software - Computers)

Joseph Chaudhari (A Group)

Week 2

17 January 2017

Topics To Be Discussed: Artificial Intelligence | Computer | Software | Future

1.      Artificial Intelligence: A robot can take up to 200 commands or inputs per second as of 2015. Artificial intelligence and the future will greatly aide and improve current and upcoming generations of robots [3]. The results of expert coding and artificial intelligence can be seen in the 2015 DARPA robot challenge video. Robots can perform tasks almost as efficiently as human, just in a slower manner. These robots can also perform tasks autonomously, which is useful in situations where user to bot communication breaks down (like when there is a solid physical barrier between the two). Getting more into the nitty gritty of artificial intelligence and its uses, it can be seen to have great application to the world of call centers and help lines. For example, I used to be a director at a call center in New Delhi, India, where I had up to 22 employees at any time on the “floor” answering calls. If I were to have had artificially intelligent robots or answering machines working for me instead of employees, I could have been relieved of many headaches such as communication problems (our customer base was primarily American and most of the customers wanted to believe they were speaking to another American) and I could have saved a good deal of money in salaries (in the long run AI may have proven to be cheaper and definitely more worth-while since my call center was robbed by the employees once). There is not a single field of work that I can think of that will not be effected, whether it be positive (easier, work, money saved, safer environment) or negative (loss of jobs, loss of human connectivity and workplace comradery), by artificial intelligence.

2.      Computers / Future / Software: This article brings to mind thoughts that may not go through one’s head very often partially because our technology and computer systems are constantly evolving and we are typically focused on “what’s next”. One of these thoughts triggered by the article, 72 stunning things in the future that will be common ten years from now that don’t exist today, is that of disappearing technology. Things such as fax machines, desktop computers, the yellow pages, and video rental stores simply have no place in today’s technologically oriented society [4]. All of the devices listed in the previous sentence were very relevant ten years ago; that being said, what will happen ten years from now? Will things like the iPhone, apps like Uber and Lyft, and social media tools like Snapchat and Facebook disappear to allow devices that bring even more ease and connectivity to society to come forth? According to this same article, here are some of the new, and already familiarized, products that will be common in the next ten years. Drones. Drones are already well known in society. I am a drone, and helicopter, pilot and enthusiast. They are very useful tools in the film, defense, and infrastructure industries. Drones can also be used to hold concerts now as they can be equipped with speakers and deployed in great number to create noise load enough to entertain large crowds [4]. 3D Printers. These devices are already used in the construction industry in China. Entire houses of a uniform design can be printed and assembled in a matter of weeks now. Things closer to home will also be greatly affected by 3D printers. For example, women’s makeup, shoes, and silver-ware can be printed by these marvelous machines [4]. To change the subject slightly, Moore’s Law states that the number of transistors on a computer chip will double every year, while cost decreases. This was said in 1965 and basically remains true. This has a direct impact on the processing power of a computer. So, computer processing power will increase nearly two-fold every year resulting in some serious future computer power [1]. Computers will become “smarter” as software advances. For instance, since 2011 Android and Google vocal recognition has become much better thanks to Google’s department Google Brain [2]. The team at Google Brain developed the software in such a way so that the software could, itself, learn and adapt to incoming soundwaves and interpret them independently, effectively, and quickly. As software continues to evolve, things such as a human’s daily meal routine, traffic pattern, and evening home lighting (based on human mood interpreted by used actions) could be generated without direct user input and with the aid of appropriate sensors.

References

1. Hanson, Jack. "What Will Computers Look Like in 30 Years?" Future Computers | Future of Computer Technology | Quantum Computers. N.p., n.d. Web. 17 Jan. 2017.

2. "The Great A.I. Awakening." Evernote. N.p., n.d. Web. 17 Jan. 2017.

3. TheVerge. "The 2015 DARPA Robotics Challenge Finals." YouTube. YouTube, 12 June 2015. Web. 17 Jan. 2017.

4. "72 Stunning Things in the Future That Will Be Common Ten Years from Now That Don’t Exist Today." Evernote. N.p., n.d. Web. 17 Jan. 2017.  

Responses:

1.      Ronald Herazo: I am not very familiar with nano neutral networks and am thankful you wrote about them. It is incredible and seemingly fictional to think that we will eventually have a direct link between our thoughts and computers. A question that arises, as I do not know the answer, is how will computers filter our thoughts? For example, if I want to order a new Titleist 917 3-Wood gold club, but I quickly think of pizza, what will the computer do? Or will we just have to really focus on what we are ordering the computer to do? Who knows. Interesting subject of thought though my friend.

URL: https://ae-410-510-ay16-17.blogspot.com/2017/01/assignment-b1-group-ronald-herazo.html

2.      Ray Powell: Intelligent HVAC will be in every newly constructed building in the US within the next ten years (I hope). Your post makes me think of all of the different types of sensors that will be needed in monitoring not only HVAC but ideally all aspects of a building. Monitoring an entire building by means of sensor will be like giving that building a voice and thus making it truly intelligent. Once this can be achieved, structural health monitoring systems will advance to a whole new level with the help of the IOT and sensor companies.

URL: https://ae-410-510-ay16-17.blogspot.com/2017/01/b1-ray-powell-on-future-of-intelligent.html

3.      Andrew Ng: BIM is indeed revolutionary. Technology such as is saves so much time in the design and planning process along with allowing for beautiful and futuristic/modern architectural design to be implemented. Based on the data you presented, BIM must be nearly 90% or more in terms of its usage in firms across the nation. Over the next ten years its use and effectiveness will only increase and evolve.

URL: https://ae-410-510-ay16-17.blogspot.com/2017/01/bim-and-3d-printingtechnologies-of.html