Online teaching for the next 24 hours: Plenty of audio and video
Good Response
Tech News Post, Jodhpur
Jodhpur, RAJ - Wednesday July 08, 2020 (Noncommercial educational content in news paper format) - Two Pages
Teaching Online - 10 tips for a better experience

Education, Looking forward,
Technology

In these pandemic times, a lot of universities are switching to video teaching, and for many teachers, this is a new experience. Here are two set of tips on how to become a better video teacher. It is based on my experience of video conferencing, video lectures, and literature analysis conducted in recent times, as well based on my onboard teaching extensive experience. The first set of points focuses on the video experience itself - and is valid for anyone using video conferencing to get a message across.

The five tips for better experience:
  • Sound is more important than picture.
  • Look into the camera !
  • Don't make the obvious mistakes: Background, lighting, and clothing.
  • Be lively! The medium consumes energy; you need to compensate.
  • Get to know the tools
The five tips for how to "teach" online, i.e., what are some important factors for successfully moving what you do in the classroom to a video environment. The main thing is that you still know your material and care about the people at the other end.
  • Talk to one student, not many.
  • Structure, structure, structure (much more important in online teaching).
  • Interaction is possible but needs to be planned.
  • Bring a friend: Teach with a colleague, for mutual help and a better experience.
  • Use the recording as a tool for making your teaching better, by reviewing it and editing it yourself.

Best Career Choice - AI

May Grow to Many !

If you are looking to future-proof your career, there is perhaps no better job field to enter than that of Artificial Intelligence (AI). Even if machines and automated systems take over countless jobs, humans are still necessary to program the algorithms. Moreover, jobs in the AI field pay top salaries as companies look for the brightest minds to create cutting-edge solutions. Whether you are just getting ready to start your career or are re-skilling into a new position, some of the best AI jobs out there include machine learning engineer, data scientist and AI research scientist.

Many people fear that robots and artificial intelligence (AI) systems are going to steal their jobs. To a certain degree, those fears are warranted. According to data from the McKinsey Global Institute, as many as 73 million U.S. jobs could be automated by 2030.

While that is concerning at a surface level, many people ignore the fact that automation is actually a good thing. It keeps workers out of harmful environments, speeds up production lines, and paves the way for better overall opportunities.

"Applications of Artificial Intelligence."

Many people are looking for a future-proof position. According to that logic, there is no better job field to enter than that of artificial intelligence. Even if machines take over countless jobs, humans are still necessary to program the algorithms !!

Machine Learning Engineer

Let go your conscious self and act on instinct

At its core, artificial intelligence relies on a technology known as "machine learning." It involves carefully crafted algorithms and software platforms that enable the AI to do its job. Of course, those need to be created by someone.

"Deep Learning takes place through neurons."

Machine learning engineers are up to the task - and rake in a median salary of $114,000 in US. They are primarily responsible for building and managing these platforms. Those with a background in data science and who are fluent in multiple programming languages are ideal candidates for the role.

A machine learning engineer can expect to work with predictive models, natural language processing, massive data-sets, and a variety of other development tools. In terms of education, most companies look for someone with a master's or doctoral degree in mathematics or computer science.

For individuals without those academic credentials, a position as a regular software developer is a great starting place. This not only lets you gain the programming skills needed, but it also opens the door for valuable experiences with problem-solving and analytical skills.

Data Scientist / Engineer

Data Science : A tool of future research

The data trumps is at the heart of every algorithm and application. As such, individuals who know how to work with data are in high demand. Data science is a broad field, but it is closely intertwined with the AI sector due to the similarities between the two.

Those working as data scientists can expect to earn a median salary of $113,000 per year (in US). However, the positions can not be filled by just anyone. Companies expect that data scientists hold a master's or doctoral degree in computer science.

It's worth noting that being a data scientist could be perfect for someone that is not as interested in programming from scratch. Individuals in data science roles typically work with Big Data tools like Hive, Hadoop, MapReduce, Pig, and Spark. However, that does not mean that programming is not part of the job. In-depth knowledge of languages like Perl, Python, Scala, and SQL is also necessary.

"Data Science is intersection of three."
Israeli Military Launches Radical Google Maps Alternative

Forbes, Zak Doffman, June 30, 2020

The Israeli military has adopted artificial intelligence (AI), multi-source data fusion, and augmented reality (AR) to weed out terrorists from civilians in urban areas. Similar to Google Street View, the military is using an AR overlay from the fusion of multiple sources of highly classified intelligence and open source data on the terrain and environment, along with AI running pattern analytics from previous combat experiences to gauge the hidden enemy's next move[1].

The AR display, which is shown to soldiers on a smartphone or tablet or streamed directly into their binoculars or weapons sights, helps them understand why a location has been deemed hostile. Final targeting decisions are left to the soldiers on the ground. The AI tool is tasked with distilling terabytes of intelligence every day into useful and relevant data, and soldiers have just five to 10 seconds to decide on any action t hey take based on that data.

[1] Source: ACM Technical News.