Ending the US coronavirus lockdown too early could lead to an explosion of new coronavirus cases, according to a study modelling the spread of the virus. Researchers from the Massachusetts Institute of Technology (MIT) created a model showing the spread of the deadly virus using publicly available data from Wuhan, Italy, South Korea and the USA. The authors say that any immediate or near-term relaxation of quarantine measures already in place in the US would lead to an'exponential explosion' in COVID-19 cases. It comes as President Donald Trump announced a new three-phase plan to reopen the country that'allows' governors to decide when their states should come out of lockdown measures. The plan provided only a general idea of how and when states would be able to reopen - shying away from specific details or a timeline. 'To preserve the health of our citizens we must also preserve the health and functioning of our economy,' said Trump.

BEIJING – Toyota-backed self driving company Pony.ai said Friday it would provide an autonomous delivery service to residents of Irvine, California, as demand for online orders has surged because of the COVID-19 lockdown. Some 90% of U.S. shoppers are under stay-at-home orders, and a jump in demand for package and grocery delivery has left e-commerce platforms struggling to cope. In response, Amazon has said it plans to hire 75,000 more people for jobs ranging from warehouse staff to delivery driver positions. Pony.ai said in a statement it would use autonomous electric vehicles to deliver packages from local e-commerce platform Yamibuy to customers in Irvine, California, which has a population of more than 200,000. The autonomous fleet comprises 10 electric Kona sport-utility vehicles made by Hyundai.

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AI can play a crucial part in automating processes and limiting human involvement to a necessary minimum. Public sector spending on artificial intelligence technologies is expected to accelerate, due to the social distancing measures put in place in response to the coronavirus pandemic. According to market research firm IDC, coronavirus may force some businesses to "revise their technology investments downwards", while others, in particular the healthcare industry, should see a spike in AI spend, as short-staffed hospitals look for quicker diagnostics and testing solutions. "AI is a technology that can play a significant role in helping businesses and societies deal with and solve large scale disruption caused by quarantines and lockdowns," said Andrea Minonne, senior research analyst at IDC. "Of all industries, the public sector will experience an acceleration of AI investments. Hospitals are looking at AI to speed up COVID-19 diagnosis and testing and to provide automated remote consultations to patients in self-isolation through chatbots."

According to a Hookit's Year in Review Report, advertisers and broadcasters increase their budget on sponsorship deals by 5% yearly without understanding the true value of their marketing efforts. If you don't want your sports sponsorship spendings to be a shot in the dark, leverage a data-driven approach. Underpinned by innovative computer vision tech, such a method will allow you to automate the process of choosing the optimal content and platforms for advertising and analyzing the generated ad value. With one of computer vision solutions in place, you can thoroughly analyze the video footage of any sports match -- scene by scene -- and find the optimal place for ad insertions. For example, if you broadcast football, such an innovative mechanism will help you accurately detect a match's key moments like scoring chances, goals, fouls, penalties, etc. With this data at hand, you'll easily avoid interrupting the broadcast at the wrong time, ensuring smooth viewing experiences.

With the proliferation of AI principles worldwide1, industry is faced with a new challenge: how to implement these AI principles? Since 2017, the international committee responsible for the standardization of AI (SC 42) has been tackling this challenge: it is developing standards covering both technical and organisational specifications to enable responsible and trustworthy AI. Forty-four countries are currently involved in the work of SC 42, and Australia plays an active role in the development of the AI international standards, as it has formed standards committee IT-043 to be Australia's voice at SC 42. When it comes to AI, it is essential to provide for interoperability and global governance, and this is why AI international standards have the buy in from key governments (such as China, the US and the EU). Australia has also identified AI standards as an important national priority.

Modern robots are not unlike toddlers: It's hilarious to watch them fall over, but deep down we know that if we laugh too hard, they might develop a complex and grow up to start World War III. None of humanity's creations inspires such a confusing mix of awe, admiration, and fear: We want robots to make our lives easier and safer, yet we can't quite bring ourselves to trust them. We're crafting them in our own image, yet we are terrified they'll supplant us. But that trepidation is no obstacle to the booming field of robotics. Robots have finally grown smart enough and physically capable enough to make their way out of factories and labs to walk and roll and even leap among us.

IMAGE: Example of segmentation produced by the tool which separates the structures in cerebrospinal fluid (red), grey matter (blue) and white matter (yellow) from MRI images T2 (middle column) and T1... view more Canadian scientists have developed an innovative new technique that uses artificial intelligence to better define the different sections of the brain in newborns during a magnetic resonance imaging (MRI) exam. The results of this study -- a collaboration between researchers at Montreal's CHU Sainte-Justine children's hospital and the ÉTS engineering school -- are published today in Frontiers in Neuroscience. "This is one of the first times that artificial intelligence has been used to better define the different parts of a newborn's brain on an MRI: namely the grey matter, white matter and cerebrospinal fluid," said Dr. Gregory A. Lodygensky, a neonatologist at CHU Sainte-Justine and professor at Université de Montréal. "Until today, the tools available were complex, often intermingled and difficult to access," he added. In collaboration with Professor Jose Dolz, an expert in medical image analysis and machine learning at ÉTS, the researchers were able to adapt the tools to the specificities of the neonatal setting and then validate them. This new technique allows babies' brains to be examined quickly, accurately and reliably.

Artificial intelligence (AI) is one of the major technological innovations in recent times, set to revolutionise industries across verticals. In simple terms, AI is the capacity of a computer/machine to collect, anticipate, analyse information, recognise patterns and, consequently, perform actions as opposed to natural human intelligence. AI has permeated industries throughout the years, aiding and executing taxing responsibilities such as customer service (voice assistant services), in automobiles, robotics, etc. Its presence has likewise penetrated the education sector, which can be further corroborated by the surge in edtech startups in India. With the rise of AI, the Indian learning and e-learning landscape have seen considerable change.

One group of researchers at The University of Texas at Austin is developing new "scientific machine learning" methods to address this challenge.