Goto

Collaborating Authors

Networks


How Remote Work Can Fuel The New AI Tech Centers

#artificialintelligence

As the world prepares to embrace the new normalcy of life, a lot of companies have started allowing their employees to work from home to ensure their safety after the outbreak of COVID-19. This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce. Implemented as a temporary solution, remote work is likely to become the normal way of keeping such businesses functional. Most of the companies have always preferred hiring locally, requiring employees to stay in the local region even when allowing work from home. Due to this, individuals from different parts of the world migrate to locations that have more job opportunities such as Silicon Valley, New York City, Seattle, etc.


How Remote Work Can Fuel The New AI Tech Centers

#artificialintelligence

This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce.


Smart Cities and eGovernance Trends in India

#artificialintelligence

Smart Cities Mission, an initiative launched in 2015, aims at creating the next generation cities in India. These cities would not just have an easy-to-access infrastructure but also be technologically advanced in government-citizen interaction. Technologies like Artificial Intelligence, Internet of Things, Radio-frequency identification (RFID), cloud computing, and many more would be used by the government to offer'smarter' solutions. It would ease the resource-deficit burden of the country by empowering the government to do much more with less. And when cities are becoming smarter, the traditional methods of governing would not suffice.


Latest Trends in the Field of Artificial Intelligence

#artificialintelligence

To appraise the trends of Artificial Intelligence (AI) 2020, we have to recall that 2018 and 2019 saw a large number of platforms, applications, and devices that depend on artificial intelligence and machine learning. Such technology patterns laid huge implications on programming and the Internet business. Moreover, its impacts on fields like healthcare services, assembling, manufacturing, agriculture, and automobile are valuable. The advancement of ML and AI-related advancements will have a long journey in 2020, or considerably further. As the hardware and skill expected to deploy AI become less expensive and progressively accessible, we will begin to see it utilized in an increasing number of tools, gadgets, and devices.


Global Big Data Conference

#artificialintelligence

The COVID-19 virus has caused millions of white-collar knowledge workers to work from home, and while this could be seen as a boon to productivity, unfortunately it is not. These remote workers battle hundreds of daily distractions from helping children to making dinner along with the usual online breaks. Over time, these non-company activities add up and can yield at least 3-4 hours of unproductive work time. Yet, these workers are worried about their jobs and want to hold on to them during a time of record unemployment. They want to show their organizations that they are as productive and valuable as ever to retain their coveted positions.



5G Was Going to Unite the World--Instead It's Tearing Us Apart

WIRED

The world came together to build 5G. Now the next-generation wireless technology is pulling the world apart. The latest version of the 5G technical specifications, expected Friday, adds features for connecting autonomous cars, intelligent factories, and internet-of-things devices to crazy-fast 5G networks. The blueprints reflect a global effort to develop the technology, with contributions from more than a dozen companies from Europe, the US, and Asia. And yet, 5G is also pulling nations apart--with the US and China anchoring the tug-of-war.


'Death of the office' exaggerated despite homeworking boom

#artificialintelligence

PA Consulting's Lee Howells, an automation and AI expert, is quoted in a special AI & Robotics report on how AI-driven technology is accelerating the shift towards home working. The piece discusses how the COVID-19 lockdown has forced millions of employees to adapt to working remotely, and says this trend is expected to continue well after the pandemic subsides. Companies such as Facebook and Twitter are moving towards making working from home the norm -- a shift enabled by artificial intelligence-driven telecommuting. However, the article goes on to recognise the potential of homeworking to cause mental stress, with many employees noting "video call fatigue" and craving real human interaction. Lee predicts that the lockdown will accelerate the development and use of AI tools to monitor and manage the mental wellbeing of remote workers.


How AI can ensure your transition to remote work is equitable

#artificialintelligence

Removing bias from talent decisions helps companies move closer to gender equity with every new hire, performance evaluation, and pay/compensation decision. No longer must companies rely on informal relationships and unconscious bias to make critical human capital decisions. With the tools of the Fourth Industrial Revolution, organizations can use objective data to do what's in their financial best interest as well as the best interest of their employees. After all, gender equity is more than a social issue, it's also a stunning economic opportunity.


For military AI to reach the battlefield, there are more than just software challenges - FedScoop

#artificialintelligence

As the military tries to enable artificial intelligence on the battlefield, building databases and coding software are only part of the picture. AI goals like the Army's desires for autonomous vehicles or creating "hyper-enabled operators" will require computing systems to become more efficient, military technologists said during a recent panel. The challenge is in deploying "edge computing," where the high-power processors needed to run AI systems are dispersed in the field rather than located only in a central cloud system. Better hardware at the edge means less reliance on communications networks that can be denied, degraded or jammed by enemy forces. For example, sending raw data from the field to a central AI system just for an unmanned vehicle to determine if a road is turning right or left is not realistic, the experts said.