I have covered more than 100 protests in my tenure as a general assignment news reporter, before turning my focus to tech. Most were peaceful, but I've been caught in the midst of the melee, too – pelted with rocks, tear-gassed, and attacked by extremists co-opting nonviolent marches to create chaos nonrelated to the cause. What I learned early on, long before the days of smartphones and social media, is that keeping track of what's going on – even along the same city block – can be next to impossible. Just gathering information, law enforcement would often tell me one thing, the protest organizers another, and dozens more leaders, marchers, and watchdog groups would say something totally different. Each new hour was often a tangled mess of conflicting information and I felt like – at the end of the day – the only truth I knew for certain, was what I had seen with my own two eyes.
Given the recent protests against police brutality and the partial reopening of Connecticut's two large tribal casinos, Lamont said the next two weeks "will be somewhat telling" in terms of whether there will be any flare-ups of the coronavirus. Geballe said the administration remains in contact with groups forecasting potential positive cases and deaths using various models, including a Yale School of Public Health researcher who warned late last month there could be thousands more deaths by September if Connecticut reopened too quickly and the amount of interactions between people is similar to early March.
ICRA is the largest robotics meeting in the world and is the flagship conference of the IEEE Robotics & Automation Society. It is thus our honor and pleasure to welcome you to this edition, although the current exceptional circumstances did not allow us to organize it in Paris as planned with the glimpse and splendor that our wonderful robotics community deserves. Now, for sure, Virtual ICRA 2020, the first online ICRA, will be one of the most memorable ICRA editions ever! Our first Plenary is a hot topic panel on COVID-19 Pandemic & Robotics, moderated by Ken Goldberg and chaired by Wolfram Burgard. Join us for the virtual conference taking place May 31 to August 31 with sessions available both live and on demand.
Analytics Insight predicts that the global AI market is expected to reach US$53.2 billion in 2020 and will further grow on to reach US$152.9 billion in 2023. Beyond that, businesses are bound to become even more innovative with rising AI trends this year. According to a report, AI will help with the repetitive and labor extensive tasks that people carry mostly on their machines. The extensive form filling work, generating reports, and diagrams all can be done more quickly. According to Forbes, approximately 23% of businesses have implemented Artificial intelligence into processing and product services, and more than 60 businesses are still in process. However, this number will increase by 80-90% until 2022.
Scientific reports continue to emphasize the importance of testing the population for COVID-19on a regular basis. But surveillance in broad terms raises numerous concerns about privacy. This TechRepublic Premium ebook compiles the latest on cancelled conferences, cybersecurity attacks, remote work tips, and the impact this pandemic is having on the tech industry. Those issues are front and center with contact tracing, the practice of trying to document the interactions between people infected with COVID-19, and those with whom they've been in touch. For anyone to scrutinize how another person moves through life, including their social interactions, strikes many as an invasion of privacy, especially when that scrutiny comes from a central authority.
Companies across a wide range of industries and markets are assessing their ability to re-open safely in the coronavirus era. New rules and regulations, and new realities, apply. We have to think about how post-COVID will be different. Those on the vanguard of IT implementations are recognizing that artificial intelligence has vast potential. Using the right AI can empower companies to be smarter about physical distancing, the preventative measure for COVID.
Machine-learning models are trained on human behavior and excel at highlighting predictable or "normal" behaviors and patterns. However, the sudden onset of a global pandemic caused a massive change in human behavior that by some accounts has caused automation to go into a "tailspin," exposing fragilities in integrated systems we have come to rely upon. The realization of the scale and scope of these vulnerabilities -- which affect operations ranging from inventory management to global supply chain logistics -- comes at a time when we need artificial intelligence (AI) more than ever. For example, AI technologies are enabling contact tracing applications that may help mitigate the spread of the coronavirus. And amidst widespread testing shortages, hospitals have started to use AI technologies to help diagnose COVID-19 patients.
Artificial intelligence technology can tell doctors when a scan reveals a tumor, can help the military distinguish between a truck and a school bus as a target, and can answer a high volume of college students' questions. Sectors of our economy such as the military, health care, and higher education are much further along than the K-12 system in incorporating artificial intelligence systems and machine learning into their operations. And many of those uses--even when they are not specifically for education--can spark ideas for applications in K-12 that may be more pertinent than ever imagined. With the coronavirus upending traditional ways of delivering education, AI technologies--which are designed to model human intelligence and solve complex problems--may be able to help with logistical challenges such as busing and classroom social distancing, provide support to overwhelmed teachers, and glean new information about remote learning. AI techniques and systems are "like the internal combustion engine--you can use them to power a lot of different things," said David Danks, a professor of philosophy and psychology at Carnegie Mellon University in Pittsburgh, who studies cognitive science, machine learning, and how AI affects people.
Covid-19 has caused an unprecedented amount of uncertainty across the world, with businesses and people alike feeling the strain. However, amidst all of this uncertainty, one thing has remained constant and that is the unwavering efforts of those on the NHS frontline. While we have passed the peak of the pandemic in the UK, we must not forget the immense strain which the NHS has been put under. It is a testament to all of those working within the service that it has remained firm, saving countless lives in the process. Moving forwards, though, we must find a way to ease the burden on NHS workers.
In the search for new medicines for diseases such as cancer, a Leiden team has developed a new workflow. This approach combines artificial intelligence (AI) with molecular modelling and is suitable for finding unknown and innovative drug structures, the researchers demonstrated. With their new method, the researchers of the Leiden Academic Centre for Drug Research (LACDR) and the Leiden Institute of Advanced Computer Science (LIACS) were able to find five substances with an inhibitory effect on a specific type of kinase. Kinases are enzymes that switch other proteins on or off and play an important role in the development of cancer. In their publication in the Journal of Chemical Information and Modeling, the team looked at so-called polypharmacology – drug development in which there are multiple targets in the body.