A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate distributed, decentralized and collaborative learning capabilities among devices, avoiding the need to pool all data at a central server for learning. "There has been an exponential growth in the amount of data collected and stored locally on individual smart devices," said Dr. Jemin George, an Army scientist at the U.S. Army Combat Capabilities Development Command's Army Research Laboratory. "Numerous research efforts as well as businesses have focused on applying machine learning to extract value from such massive data to provide data-driven insights, decisions and predictions." However, none of these efforts address any of the issues associated with applying machine learning to a contested, congested and constrained battlespace, George said.

This legislation would accelerate and coordinate Federal investments and facilitate new public-private partnerships in research, standards, and education in artificial intelligence, in order to ensure the United States leads the world in the development and use of responsible artificial intelligence systems. "The United States must act now to cement our global leadership in artificial intelligence and ensure the development and adoption of trustworthy AI systems," said Chairwoman Johnson. "We can accomplish this by accelerating our investments in research, development, and the education and training of an AI workforce, all governed by principles of ethics, safety, security, fairness, and transparency. That is exactly what H.R. 6216 seeks to do. I want to thank Ranking Member Lucas for joining me in the development and introduction of this important legislation and the many stakeholders who advised us during its development."

The new strain of coronavirus sweeping across the world has put the UK Government on alert as the number of cases in the country surged past 100 this week. Warnings have been issued that up to one in five workers in the UK could be off sick at the peak of the outbreak. Babylon, which has been campaigning for a "digital-first approach" to health services, has taken additional measures to support patients who might turn to the app for advice, including revisions to information cards on coronavirus within its app. It is coordinating with the NHS and World Health Organisation as part of an effort to "identify, contain and help delay the spread of the virus". It also operates a 24/7 video service in its app, which gives patients access to a GP from their smartphone. Dr Grimes said it is "really helpful at a time like this", as patients can access clinicians remotely and "stop the spread of illness between patients congregating at a clinic".

Are you aware that machine learning is impacting almost every next activity of your life! The way you search, read, communicate, express everything is being taken over by machine learning!And it is imperative to be aware about it before you give in to your creative mindset! So, machine learning is pretty much exploiting you by gathering your data, your liking and disliking but what would be cooler is to know being used and then use it to be used! Here we are going to talk 3 different ways where machine learning has gathered you with all force, so lets get started with top 3 machine learning examples and applications used in everyday life. Recommendation systems are now everywhere!

The demand for people with knowledge and skills in artificial intelligence (AI) and machine learning (ML) hugely outstrips the supply. This means that learning and gaining qualifications in these subjects can be a great way to enhance your career prospects. However, not everyone has the spare time and money to spend years studying for a degree or other formal qualifications. Today, with the wealth of freely available educational content online, it may not be necessary. There are so many courses, tutorials, and guides available online that it is perfectly possible to gain a thorough grounding in these subjects without paying a penny.

As of March 10, 2020, 467 confirmed cases of COVID-19 have been reported to the Centers for Disease Control and Prevention in the United States. While governments across the globe are working in collaboration with local authorities and health-care providers to track, respond to and prevent the spread of disease caused by the coronavirus, health experts are turning to advanced analytics and artificial intelligence to augment current efforts to prevent further infection. Data and analytics have proved to be useful in combating the spread of disease, and the federal government has access to ample data on the U.S. population's health and travel as well as the migration of both domestic and wild animals -- all of which can be useful in tracking and predicting disease trajectory. Machine learning's ability to consider large amounts of data and offer insights can lead to deeper knowledge about diseases and enable U.S. health and government officials to make better decisions throughout the entire evolution of an outbreak. As the global human population grows and continues to interact with animals, other opportunities for viruses that originate in animals (like COVID-19) could make the jump from to humans and spread.

Oura, a Finnish startup that creates a smart activity- and sleep-tracking ring, has raised $28 million in a series B round of funding from Google's Gradient Ventures, Jack Dorsey's Square, and Forerunner Ventures. Founded out of Oulu, Finland, in 2013 Oura monitors the user's pulse, movement, and temperature to deliver a "holistic picture" of their health. And unlike many other health-trackers on the market, the Oura is not worn on a person's wrist -- it slides firmly onto their finger instead. The titanium ring features infrared LEDs, NTC temperature sensors, an accelerometer, and a gyroscope, and can last up to one week on a single charge. Each day, the user can view their data inside the Oura mobile app, with three scores allocated based on their sleep and activity.

Artificial intelligence (AI) is competent to have a revolutionary impact on businesses and consumers globally. It is no longer merely about codifying business logic, Instead, more about making tasks effortless, innovative and removing drudgery from human's life. Very few subjects in science and technology have caused much excitement right now as artificial intelligence as some of the world's brightest minds have said that it's potential to revolutionise all aspects of our lives. AI makes it practical for machines to understand from experience, act human-like jobs, and adapt to the latest inputs. The concept works by amalgamating enormous data with quick, smart algorithms, and iterative processing, enabling the software to decipher by analysing patterns in the data in an automatic way. There is science and well thought algorithm behind all the artificial solutions, where you need to set up proper expectations and clarification to avoid any rumours and myths around the outputs.

Following on from my comment in the February issue of DW, I thought it worthwhile to spend a few moments contemplating just how much, or how little, companies (as well as individuals) can learn from the history books. Thankfully, major health scares as per the current coronavirus pandemic, are few and far between. And organisations might do well to spend a little time, after we have weathered the storm, thinking about the future, in terms of the human aspect of their business. Yes, AI and robots are, we hope, immune to illness, but humans are still a vital part of any organisation, and large scale illness is something that might just need a bit more planning for in the future. At least as part of a business continuity/disaster recovery plan, where the emphasis tends to be on the machines, not the humans.

The race to develop vaccines and treatments for the new coronavirus is a high-tech moonshot employing artificial intelligence, quantum physics, computational chemistry and cloud computing, according to one key researcher in China. "What we try to do is develop some very fundamental technologies which are essential to discovering treatment for the coronavirus," said Lipeng Lai, co-founder and head of AI research at XtalPi Inc., a pharmaceutical-technology company.