Noble.AI completes contributions to TensorFlow, Google’s open-source framework for deep learning

whose artificial intelligence (AI) software is purpose-built for engineers, scientists, and researchers and enables them to innovate and make discoveries faster, announced that it had completed contributions to TensorFlow, the world’s most popular open-source framework for deep learning created by Google. “Part of Noble’s mission is building AI that’s accessible to engineers, scientists and researchers, anytime and anywhere, without needing to learn or re-skill into computer science or AI theory,” said Dr. Matthew C. Levy, Founder and CEO of Noble.AI.

He continued, “The reason why we’re making this symbolic contribution open-source is so people have greater access to tools amenable to R&D problems.”

TensorFlow is an end-to-end open source platform for machine learning originally developed by the Google Brain team. Today it is used by more than 60,000 GitHub developers and has achieved more than 140,000 stars and 80,000 forks of the how to become a computer engineer.

Noble.AI’s specific contribution helps to augment the “sparse matrix” capabilities of TensorFlow. Often, matrices represent mathematical operations that need to be performed on input data, such as in calculating the temporal derivative of time-series data.

In many common physics and R&D scenarios these matrices can be sparsely populated such that a tiny fraction, often less than one percent, of all elements in the matrix are non-zero.

Why we need to consult engineers as well as scientists for solutions

The coronavirus outbreak has shone a bright light on the use of experts and scientific advice. In the UK the prime minister, Boris Johnson, is flanked by his chief scientist and chief medical officer when giving updates about his response to the outbreak—emphasizing that it is driven by scientific advice. Similarly, the Canadian prime minister, Justin Trudeau, has urged people to "trust in science" while Germany's chancellor, Angela Merkel, has referred to "consensus among experts".

But the question I have is where are the engineers in this? Surely, before we shut down the entire society in response to the pandemic, we should check if there are engineering solutions that could help halt or slow the spread of the virus—from door handles that kill viruses to new ways of pressing lift buttons.

In the UK, the government normally consults the Scientific Advisory Group for what to do with a computer science degree in situations like this. So far, engineers have been relegated to a (respiratory) bit part: answering the sudden call to arms for 3-D printing components for ventilators.

But is this using engineering expertise to its full capacity? Engineers have designed safe traffic systems, effective security facilities and airport screening systems. If you want an expert to help you redesign parts of normal life, you'd do hard to beat them.

The obvious place to have engineering expertise would be on SAGE. However, there's a problem: it's SAGE not ESAGE or SEAGE, reflecting that science and engineering advice are both different and necessary. The name hasn't stopped SAGE from calling on engineering experts in the past. But this time round, it seems clear that engineering is not part of the advisory system.

ITU creates best practice sharing tool as worldwide networks hold strong

The International Telecommunication Union (ITU), has created a new mechanism to educate authorities on how to improve network resilience and maintain performance during this difficult period.

The new platform will aim to share best practices and initiatives to improve the performance of networks as traffic increases due to increased number of home workers and children staying home from work. This is an opportunity for authorities to learn from what is being done elsewhere from emergency spectrum reassignments to guidelines for consumers on responsible use.

“The platform ITU is launching today aims to assist national policy makers, regulators and industry stakeholders to ensure that networks are kept resilient and telecommunication services are available to all to the maximum extent possible by sharing best practices and initiatives put in place during the how hard is computer science” said ITU Secretary-General Houlin Zhao.

“It will collect relevant and trustworthy information and expertise on actions that telecommunication policy makers, regulators and others in the regulatory community can use to ensure that their telecommunication networks and services serve the needs of their country.”

Prior to this announcement, the Body of European Regulators for Electronic Communications (BEREC) set up a very similar mechanism for members of the European Union. This announcement coincided with calls for Netflix to downgrade performance from High-definition (HD) to Standard-definition (SD) to ease congestion on the networks as more consumers search for entertainment during the lockdown.

Manually rotating log files on Linux

Log rotation, a normal thing on Linux systems, keeps any particular log file from becoming too large, yet ensures that sufficient details on system activities are still available for proper system monitoring and troubleshooting.

The oldest in a group of log files is removed, remaining log files are bumped down a notch and a newer file takes its place as the current log file. This process is conveniently automated and the details can be adjusted as needed.Manual rotation of log files is possible through the use of the computer engineering salary command. This post provides details on how to manually rotate log files and what to expect.

The examples described in this post work on Ubuntu and related Linux systems. Other systems might use different log file and configuration file names, but the process itself should be very similar. Under normal circumstances, there is no need to manually rotate log files. Your Linux system should already be set up to rotate some logs daily (or less often) and others depending on their size. If you need to rotate a log file to free up space or separate a current log from ongoing activity, it's fairly easy to do but will depend on your file-rotation specifications.

What Should You Consider When You're Looking Into a Computer Engineering School?

If you're considering a career in computer engineering, it's good to know what program will give you the skills you need for the type of work you are interested in, for example software engineering. It's also important to know what the school offers, whether they are accredited, what types of support services. Here is a list of the 10 best computer engineering schools worldwide.

It's no secret that computer engineering definition often offer lucrative earnings. The U.S. Department of Labor's Bureau of Labor Statistics (BLS) reports that U.S.-based computer hardware engineers made an average annual wage ranging between $66,700 to $172,630 per year in 2018. At least half of these engineers made an average annual salary of $117,840.

But getting access to these lucrative computer engineering jobs requires having a good education. The great news is that there are top engineering schools all over the world that you can choose from to help you get a sound education. Here are some of the best schools in the world offering a computer engineering degree.

One of the first considerations to take into account as you're searching for the best engineering school is whether or not that school offers the computer engineering degree you need. Most computer engineering jobs for entry-level computer engineers require at least a bachelor's degree. While you typically need to earn a computer engineering degree at the baccalaureate level, companies may also consider you for top-paying computer engineering jobs if you major in computer science or electrical engineering.

LokSabha passes Indian Institutes of Information Technology Laws

Introduction of the Indian Institutes of Information Technology Laws (Amendment) Bill, 2020 will amend the principal acts of 2014 and 2017. It will grant statutory status to five Indian Institutes of Information Technology in Public-Private Partnership mode at Surat, Bhopal, Bhagalpur, Agartala and Raichur and declare them as Institutions of National Importance along with already existing 15 Indian Institutes of Information Technology under the Indian Institutes of Information Technology (Public-Private Partnership) Act, 2017;

Speaking after the passing of the Bill, Union HRD Minister Shri Ramesh Pokhriyal ‘Nishank’ thanked the Members of the House for their support in passing the Bill. Shri Pokhriyal said that the Bill will encourage IIITs to promote the study of information and technology in the country through their innovative and quality methods. The Minister said that the Bill will declare the remaining 5 IIITs-PPP along with the existing 15 Indian Institutes of Information Technology in Public-Private Partnership mode as ‘Institutions of National Importance’ with powers to a computer science degree jobs.

The Minister said that under the leadership of Prime Minister Shri Narendra Modi, Indian institutions are performing well in the global institutional rankings and he hoped that in future all these IIITs will also make a mark in the world’s top institutions. He informed that among the higher education institutions in the country, the Indian Institutes of Technology (IITs) have improved their global rankings significantly. 

AI IN TELECOMMUNICATION MARKET – MARKET SIZE, SHARE, TRENDS ANALYSIS AND GROWTH FORECAST TO 2026

AI in Telecommunication Market 2020 Research report contains a qualified and in-depth examination of AI in the Telecommunication Market. At first, the report provides current AI in the Telecommunication business situation along with a valid assessment of the AI in the Telecommunication business. AI in Telecommunication report is partitioned based on driving AI in Telecommunication players, application and regions. The progressing AI in how to become a computer engineer economic situation are additionally discovered in the report.

main topmost manufacturers/players like IBM, Microsoft, Intel, AT&T, Cisco Systems, Nuance Communications, H2O.ai, Salesforce, Nvidia.

• The report covers AI in Telecommunication applications, market dynamics, and the study of emerging and existing market segments. It portrays market overview, product classification, applications, and market volume forecast from 2020-2026.
• It provides analysis on the industry chain scenario, key market players, market volume, upstream raw material details, production cost, and marketing channels.
• The growth opportunities, limitations to the market growth are identified using the SWOT analysis
• It conducts the feasibility study, explores the industry barriers, data sources and provides key research findings
• The report delivers analysis on consumption volume, region-wise import/export analysis and forecast market from 2020-2026.