SharpLance

Another PowerPC usage was spotted, this time it is on the James Webb Telescope. The reliable and radiation chip was known to be used on the Orion spacecraft. Most of you know the variant called G3 on Apple PowerPC products.  https://www.talospace.com/2022/01/another-powerpc-in-space.html?m=1 Here is an interesting link with many more examples of the PowerPC usage: https://forums.macrumors.com/threads/a-fun-thread-on-the-powerpcs-longevity-durability-and-performance-for-ongoing-science-work.2170348/

 Ever wondered what kind of CPU model you are using in Linux? This command will pull it up: gcc -march=native -Q --help=target|grep march

 https://blogs.nvidia.com/blog/2018/08/02/supervised-unsupervised-learning/  Source: Udacity AI for Business Leaders Supervised Learning - A category of machine learning which relies on the proper values, or labels , being present for the output data in the ground truth dataset, which the model can “learn” from during its training process. Labels - Values of the output variable/column/piece of data you are interested in Unsupervised Learning - A category of machine learning which uses the underlying characteristics of data itself, rather than already-supplied labels for outputs, to inform the model’s training process. Often uses segmenting or clustering algorithms to determine the output values. Reinforcement Learning - A category of machine learning which uses a series of simulations/cycles to reward optimal behaviors to learn policies for decision making in complex scenarios such as autonomous driving.

 Data: Volume - the amount of data that is being produced over any given unit of time Variety - The level of deviation within your data, which can have both positive and negative effects depending on what it is you’re hoping to achieve Velocity - A term referring to how quickly new data is produced. Velocity can also allude to the concept of drift, or, how quickly data underlying a model can change over time Veracity - The accuracy of data that is being collected, a trait which can be affected by faulty inputs, poor organization, or a variety of other factors Value - A holistic measure based on all other underlying characteristics of data and rooted in how likely the data is to help you reach your desired end state Differences between AI, ML, and DL?  NVIDIA: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/ Source: Udacity AI for Business Leaders

Excellent summary. https://arghya.xyz/articles/webassembly-wasm-wasi/

If doing Fedora network install and booted without Gnome, this might help (seen at r/fedora): First elevate yourself into sudo using: sudo su Then use the following commands: dnf groupinstall gnome-desktop dnf groupinstall base-x systemctl set-default graphical.target Systemctl enable gdm.service Reboot

Mere notes Model: A mathematical representation of a problem, situation, phenomenon, or process Training: The process of using an algorithm to create a model from a set of data Training Set: A subset of our ground truth data that our model will learn from Algorithm: A procedure, or set of steps Machine learning (probabilistic approach) vs Rules-based system If the universe of possible outcomes is well delineated then stick with rules. Purpose of Ground Truth Data Ground truth data helps many learning systems to learn and evaluate their own performance by providing a gold standard on what the truth actually is. Source: Udacity AI for Business Leaders

Machine Learning is a branch that focuses on probabilistic reasoning.  Progress in artificial intelligence progressed due to advances in Machine Learning. Deep learning is a technique of applying Machine Learning with massive neural networks. Good source:  https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/

Sebastain Thrun: Artificial Intelligence represents an opportunity for lessons learned to be applied on all systems and including systems not made yet. Business leaders often want to go a certain direction but available toolsets including education did not keep up. Anything repetitive would likely be done by AI within 20 years.  Erik Brynjolfsson. Director, MIT Initative on Digital Economy: Book: The Second Machine Age Three trends: Power Data Algorithms Machines with very narrow specialty. Machine learning - when to use and when not to use. Find the problem then find the solution. Identify the questions. Image recognition - machines are way better. Lots of churn under the surface so you have to be working on opportunities even though it looks like nothing is happening. Examples: A team looked flight patterns and was able to predict merger and acquisitions.  A team used logs from locomotives to identify improvements to be made. Finance showed massive improvements - 360,000 hours into f

 https://www.build-electronic-circuits.com/kicad-tutorial/  This is a great tutorial.

Put your unused CPU cycles to work by joining the World Community Grid .

In Windows Subsystem for Linux (WSL) The C:\ drive is mounted as /mnt/c/ , D:\ is mounted as /mnt/d/.

The California Sculpture Slam 2015 at the San Luis Obispo Museum of Art runs from September 25 to November 15, 2015. One of the exhibits has metallic octopus tentacles which seems to engulf the typewriter. When I saw the tentacles with a typewriter, I thought "how perfect it was to combine my childhood wonderment with my passion of writing and interest in the Victorian age of enlightenment." The fascination with organic metal sculptures involving tentacles could be traced back to two movies seen as a kid. When my parents took me to San Francisco in my pre-teens I enjoyed seeing the Golden Gate Bridge and San Francisco Ferry Building at Embarcadero especially because I saw them in a 1955 movie called 'It Came From Beneath the Sea.' Admittedly that was not the only movie that created the fascination with tentacles, alongside with some Victorian touch, Walt Disney's 'Jules Verne's 20,000 League Under the Sea' in 1954 also played a role on my impression

Early in November 2014, Microsoft announced that Skype would work within a browser. For the time being, one would need a traditional computer to install a plug-in but only until Skype implements the WebRTC standard. After implementing the WebRTC standard, Skype would work on the Chromebook. Mozilla and Google are already far in the WebRTC development so the opportunity to Skype from a Chromebook is likely going to happen very soon. If Skype doesn't do it, they would be quickly moved aside by browser based WebRTC solutions such as Mozilla's Firefox Hello and Google Hangout. Here's a link to WebRTC if you want to look more into it. With Mozilla Firefox beta, you could try the WebRTC feature by using Firefox Hello .

Only you know what you need. All I can do is share my opinion and perhaps give you a new insight. For new laptops costing less than $250, I would pick the laptop which syncs with the office services you primarily use. If using Microsoft Office 365, a cheap Windows laptop would work nicely and don't expect it to run Premiere or the latest games at 24-100 fps. Think of it as an office machine with basic web browsing ability. Miscellaneous applications such as DropBox or Norton would work nicely on it. If using Google services such as Gmail, Drive, or Docs, go with the Chromebook. While it is true that the Windows laptop could still use Google services, one would be even more productive on the Chromebook. It is mainly a browser with some off-line capabilities which includes playing movies from Google Play. You'd spend less time updating the OS or applications. Chromebook does the browsing tasks well and stays out of the way like a tablet.

For seamless texting (aka SMS) capability on multiple platforms at no cost, one could set up Google Voice with Google Hangouts. The main benefit of doing that is to allow one to text from any platform including from a non-cellular tablet or Chromebook using Google Hangouts. Clear instructions could be found on Google's website .

I still have one of the early Chromebooks, the Samsung 5 550, and wanted to improve the webcam. After some research, I bought a C920 webcam from Logitech. Stuck the C920 into the Chromebook's USB port and fired up Hangouts to only observe that the Chromebook still uses the internal camera. After a brief look on Google, I found out that one has to go to chrome://settings/content and change the camera to the external C920. I followed the directions and the C920 worked in the Camera app but every time I started up Hangouts, the Chromebook reverted back to the internal camera. So I cleared my Chrome cache, and the right camera finally worked in Google Hangouts. The C920 quality is immensely better than the internal camera however the CPU on the Samsung 5 550 Chromebook is not fast enough to do high definition (HD) videos. Regardless the lack of HD, I'd still have to say that the C920 video quality is immensely better than before so it was still worth getting it.

Soon there will be a Chromebook with 192 cores and yet delivering 11-13 hours of battery life due to the efficient, fanless, and low wattage CPU. Some of you may quickly figured out that I am referring to the Acer Chromebook 13 powered by NVIDIA Tegra K1. With popular gaming engines being converted to WebGL such as Unreal Engine 4, this development represents an exciting new frontier for Chromebooks. Naturally the possibilities extends much more than gaming as seen in the video at NVIDIA. It is a buy for early adopters. http:// blogs.nvidia.com /blog/2014/08/11/ tegra -k1- chromebooks /

As of April 15, 2014, t his is the best comprehensive review on the current Chromebooks. Personally, I agree with them on going with 4 GB RAM for the best experience. So far, Chromebooks with the Intel Haswell processors are the best performers. http://thewirecutter.com/reviews/best-chromebook/

ComputerWorld's article on the speed of Google's patches to the Chrome and ChromeOS vulnerabilities within 48 hours of revelation serves as a reminder on why one may want to consider using a Chromebook if internet security is a high priority. No device is completely safe but some are harder than others to exploit. No company has closed vulnerabilities as quickly as Google did after the recent Pwn2Own and Pwnium hacking events.