With the COVID-19 pandemic outbreak, businesses are at a halt, and that has created a significant impact on the artificial intelligence-based startups, who are continuously struggling to stay afloat amid this downturn. In fact, a recent report has confirmed that 90% of tech startups, including the ones working with artificial intelligence and machine learning, in the country, are facing a significant decline in revenues due to the impact of COVID-19 pandemic. And approximately 30-40% of those startups are in the process of closing down due to halted operations and having no financial back up to continue the business. This pandemic has injured the backbone of the economy, which, in turn, poses a lot of dilemmas for investors to finance businesses amid this crisis. Venture capitalists have already warned startups about the difficult times ahead.

The government plans to supply more personal computers to Japanese schools overseas so students can continue to study remotely at home while avoiding the coronavirus. The education ministry intends to ensure each pupil at Japanese elementary and high schools abroad has access to a computer, widening the scope of the existing domestic initiative. It is estimated that about 12,000 pupils and teachers at such schools need new PCs or tablet devices, and the goverment plans to start distributing them as early as this fall, in addition to shouldering half the costs. For schools that want to add more than 50 computers, the government will dispatch information and communication technology experts for the task and pay half the costs. For the project, the ministry has set aside ¥500 million ($4.6 million) in the draft second supplementary budget for fiscal 2020.

Artificial Intelligence in healthcare is becoming more crucial with early detection of various diseases with better accuracy. Cancer is one the widespread deadly disease can be now detected through machine learning and AI-enabled automated machines. Breast cancer is most common among women worldwide. However, more than 90% of women diagnosed with breast cancer at the earliest stage survive their disease for at least 5 years compared to around 15% for women diagnosed with the most advanced stage of the disease, which is now possible with AI. Though, AI is already diagnosing the breast cancer but owing to accuracy, the reliability among the doctors was less.

Digital generated image of data. When it comes to AI, much of the attention has been on deep learning. This part of the AI world has seen great strides, such as with image recognition. But of course, there are other areas of AI that look promising, such as reinforcement learning. Keep in mind that cutting-edge companies like Google's DeepMind and OpenAI have already made breakthroughs with this approach.

Kennisnet Technology Compass 2019-2020, y que comienza así: Please note: This report is written from a Dutch perspective and with the Dutch educational system and its structure in mind. Please take this into account when reading this report. What will you find in this technology compass? If someone had told you 25 years ago – roughly at the time the internet started to rise – that in 2019, you would be swiping on your smartphone for multiple hours a day, and that thanks to the internet you'd know exactly what time your aunt in France was drinking her latte, or that teenagers could become drone pilots during their vocational studies, would you have believed that person? Probably not, as nobody can predict the future.

As South Korea eased COVID-19 restrictions, a mobile operator company in the country is reportedly using a robot to reduce human contact and maintain sanitation in the building. According to an international media outlet, a self-driving robot equipped with cameras and an LED screen greets visitors at the lobby of the firm. The robots also check the temperature of the employees and also dispenses hand sanitiser and disinfect the floor. The white robot politely also reminds people to'take part in social distancing'. Several corporate companies in South Korea have now reportedly been using robotic for tasks including manufacturing and cleaning.

Private and public entities around the world, particularly in the health care and governance sectors, are developing and deploying a range of artificial intelligence (AI) systems in emergency response to COVID-19. Some of these systems work to track and predict its spread; others support medical response or help maintain social control. Indeed, AI systems can reduce strain on overwhelmed health care systems; help save lives by quickly diagnosing patients, and assessing health declines or progress; and limit the virus's spread. But there's a problem: The algorithms driving these systems are human creations, and as such, they are subject to biases that can deepen societal inequities and pose risks to businesses and society more broadly. In this article, we look at data on the pandemic, share two recent applications of AI, and suggest a number of ways nonprofit and business leaders can help ensure that they develop, manage, and use transformative AI equitably and responsibly.

In 1965, Intel co-founder Gordon Moore predicted that the number of transistors that could fit on a computer chip would grow exponentially -- and they did, doubling about every two years. For half a century, Moore's Law has endured: Computers have gotten smaller, faster, cheaper, and more efficient, enabling the rapid worldwide adoption of PCs, smartphones, high-speed internet, and more. This miniaturization trend has led to silicon chips today that have almost unimaginably small circuitry. Transistors, the tiny switches that implement computer microprocessors, are so small that 1,000 of them laid end-to-end are no wider than a human hair. And for a long time, the smaller the transistors were, the faster they could switch.

Robots are increasingly being deployed in retail environments. The reasons for this include: to relieve staff from the performance of repetitive and mundane tasks; to reallocate staff to more value-added, customer-facing activities; to realize operational improvements; and, to utilize real-time in-store generated data. Due to the impact of the 2020 Coronavirus outbreak, we can now add a new reason to use robots in retail: to assist with customer and employee safety. In this Research Article, the Retail Analytics Council at NWU presents information on the benefits associated with deploying robots in stores. Estimates of the size of the global retail robot market are advanced.

You know robotics has'made it' when Silicon Valley Bank (SVB) is reporting on it. Just five years ago, SVB barely had a hardware division, let alone a robotics and frontier tech team. This report itself shows the maturity of the field of robotics, and that's also one of the key takeaways. There may be fewer deals in robotics, but the deals are getting bigger, as consolidation in new robotics markets starts to happen. "Robotics is the latest advent in the multi-century trend toward the automation of production. The number of industrial robots, a key component of Industry 4.0, is accelerating. These machines are built by major multinationals and, increasingly, venture-backed startups. As the segment continues to mature, data are coming in that allow founders, investors and policymakers to establish a framework for thinking about these companies. In this special sector report, we take a data-driven approach to emerging topics in the industry, including business models, performance metrics and capitalization trends. Finally, we zoom out and consider how automation affects the labor market. In our view, the social implications of this industry will be massive and will require continuous examination by those driving this technology forward."