A rtificial intelligence (AI) has been used by the Royal Navy at sea for the first time – testing against supersonic missile threats. The research is being led by Defence Science and Technology Laboratory (DSTL) scientists – with the AI being tested on destroyer HMS Dragon and frigate HMS Lancaster. The MoD said the AI improves the early detection of lethal threat, accelerates engagement timelines and provides Royal Navy Commanders with a rapid hazard assessment to select the optimum weapon or measure to counter and destroy the target. "The Royal Navy's use of AI for the first time at sea is an important development in ensuring readiness to tackle threats we may face. The Royal Navy's use of AI for the first time at sea is an important development in ensuring readiness to tackle threats we may face. A rtificial intelligence (AI) has been used by the Royal Navy at sea for the first time – testing against supersonic missile threats. The research is being led by Defence Science and Technology Laboratory (DSTL) scientists – with the AI being tested on destroyer HMS Dragon and frigate HMS Lancaster. The MoD said the AI improves the early detection of lethal threat, accelerates engagement timelines and provides Royal Navy Commanders with a rapid hazard assessment to select the optimum weapon or measure to counter and destroy the target. "The Royal Navy's use of AI for the first time at sea is an important development in ensuring readiness to tackle threats we may face.

Affordable, point of care and diagnostics telemedicine will help people living in rural areas or underserved communities to access decent health care and will save more lives. One of the consequences of the pandemic is the dramatic growth of Telehealth and Telemedicine. But how can doctors and providers best care for their patients when they are not physically in front of them? What do doctors wish patients knew in order to make sure they are getting the best results even though they are not actually in the office? How can Telehealth approximate and even improve upon the healthcare that traditional doctors' visits can provide?

Innovation is the prime companion of the healthcare sector in tough times. From wearable smart devices that monitor your health to Machine Learning in healthcare for personal assistance, the industry is now advancing much faster than ever before. Google recently developed a Machine Learning algorithm to identify cancerous tumours. Stanford University is working on Machine Learning for health care to detect skin cancer. Microsoft Project InnerEye uses AI and Machine Learning in healthcare to differentiate between tumorous and healthy anatomy with the help of 3D imagery.

Over the past several years, artificial intelligence (AI) has quietly become part of our daily lives. The smart replies generated by your email or smartphone, the tagging of photos on social media, product recommendations on e-commerce sites, the directions provided by mapping apps, and the music and video recommendations on streaming services all use the predictive power of AI. Graphics processing units (GPUs) from NVIDIA (NASDAQ:NVDA) were the early beneficiary of the trend, resulting in staggering growth since the dawn of AI. The massive parallel processing capability of GPUs to render images also turned out the be the best available solution for AI systems. The company's rivals have been scrambling to build a better mousetrap in an effort to seize control of the lucrative AI chipset market.

You've probably been told that the singularity is coming. It is that long-awaited point in time -- likely, a point in our very near future -- when advances in artificial intelligence lead to the creation of a machine (a technological form of life?) smarter than humans. If Ray Kurzweil is to be believed, the singularity will happen in 2045. If we throw our hats in with Louis Rosenberg, then the day will be arriving a little sooner, likely sometime in 2030. MIT's Patrick Winston would have you believe that it will likely be a little closer to Kurzweil's prediction, though he puts the date at 2040, specifically.

Artificial Intelligence (AI) is back in the headlines as more and more companies like Amazon, Google, Facebook, Twitter and Microsoft have started to commercialize its use. Four important developments in the past few days on this front caught our eye. The most recent was last week's announcement of an AI partnership by Google, Facebook, Amazon, IBM and Microsoft. The new alliance is dedicated to advancing public understanding of the sector, as well as coming up with standards for future researchers to abide by. The other important development was the release of a research report by Forrester – The Top Emerging Technologies to Watch: 2017 to 2021.