One in eight women will be diagnosed with breast cancer throughout their lives. In an effort to help with quicker detection, researchers have trained a deep-learning algorithm to spot breast cancer in screening scans as accurately or better than a radiologist. While still at an early stage, the research could eventually help reduce incorrect results in the US and help alleviate the shortage of radiologists in the UK. As early detection is key to treatment, women over the age of 50 are tested in the US and UK even if they don't show signs of the disease. False negatives, when cancer is present but not spotted, can prove deadly, while false positives can be distressing.

The year 2019 continued to take forward the trends in the world of Information Technology with increased usage of Artificial Intelligence (AI), Internet of Things (IoT) and Machine Learning. But controversies also cropped up on the use of social media, impacting the industry and common man. The common man has started feeling the need to regulate the sector to ensure harmonious and progressive growth. It was in 2019 that people started thinking on these lines, especially after WhatsApp started spying on Indian journalists and human rights activists earlier this year. The Facebook-owned company also accepted that Indian journalists and human rights activists were among those globally that were spied on by unidentified entities using Pegasus, an Israeli spyware.

I am a third-year PhD student at Carnegie Mellon University, in The Robotics Institute. I work with Dr. Katerina Fragkiadaki, on machine learning and computer vision. Before this, I did a Master of Science in computer science, with Dr. Kosta Derpanis. Even earlier, I did a Bachelor of Arts in psychology.

Convolutional neural networks are at the core of state-of-the-art approaches to a variety of computer vision tasks. Visualizations of neural networks typically take the form of static node-link diagrams, which illustrate only the structure of a network, rather than the behavior. Motivated by this observation, this paper presents a new interactive visualization of neural networks trained on handwritten digit recognition, with the intent of showing the actual behavior of the network given user-provided input. The user can interact with the network through a drawing pad, and watch the activation patterns of the network respond in real time. The networks were trained on an augmented version of MNIST, so they excel at categorizing centred upright numbers.

A new artificial intelligence system is proving more effective at detecting breast cancer in mammograms than trained radiologists. The software, developed by researchers from Google Health, is not designed to replace human radiologists but instead assist and speed up current diagnostic processes. Although mammograms are the best diagnostic tool for uncovering breast cancer clinicians currently have at their disposal, they are not a perfect screening tool. One in five breast cancers are not picked up by trained radiologists looking at mammograms. At the other end of the spectrum around 50 percent of women receiving annual mammograms will have a false-positive finding at some point over a 10-year period.

Conversation is the key to the next wave of AI infrastructure investments. In 2014, Andrew Ng predicted that by 2020 more than half of all web searches would be non-text and instead they would instead be image and voice-based. While voice has yet to overtake the keyboard in terms of search traffic we are seeing a new inflection point in the voice market the rise of Conversational AI. Moving beyond simply voice commands and by combining the latest in voice recognition and language parsing technology with text-based smarts of interactive chatbots that has been developing rapidly over the last few years, Conversational AI promises to be a rich new vein of technology innovation. A range of new digital services are emerging as companies explore this new landscape of voice-first interactive applications that have the capacity to provide rich information as well as learning from interactions with users.

At stake is the superiority in economics and geopolitics. Whoever wins the race, will become the world leader. In recent years, the United States and China have entered into a real arms race in the field of high technology, including developments in the field of artificial intelligence, robotics, quantum measurements and the new generation 5G Internet. This is not the whole list of competitive areas. The White House administration has already declared the development of A.I. a national priority, and tightens policies in the field of information leaks and development abroad. Although such measures may also be insufficient, as the world of high technology is becoming increasingly unsafe in the field of information storage and leaks.

China's huge population is helping the nation make great strides in facial-recognition technology.Credit: Gilles Sabrie/NYT/eyevine China not only has the world's largest population and looks set to become the largest economy -- it also wants to lead the world when it comes to artificial intelligence (AI). In 2017, the Communist Party of China set 2030 as the deadline for this ambitious AI goal, and, to get there, it laid out a bevy of milestones to reach by 2020. These include making significant contributions to fundamental research, being a favoured destination for the world's brightest talents and having an AI industry that rivals global leaders in the field. As this first deadline approaches, researchers note impressive leaps in the quality of China's AI research. They also predict a shift in the nation's ability to retain homegrown talent.

The last 10 years have utterly transformed how people think about voice technology. From limited uses in just a few outlets, voice assistants are now integrating into every part of people's lives. To encapsulate everything that has happened in ten years, we've picked a notable event from each year of the last decade to highlight and show how they marked a milestone in the way voice assistants have evolved and spread. Siri began life as an independent voice assistant, a mobile app for iPhones. Apple saw potential in Siri and snapped up the company and its creation in 2010.

A new national research institution has been launched by China that will be focusing on providing education to the country's children regarding artificial intelligence from an early age, as well as, introduce more applications of artificial intelligence into the academic arena, as reported by the Beijing News. Artificial Intelligence Education Research Institute of the China Children's is a joint venture of the top schools such as Peking University and China National Children's Center, which is a non-profit organization under the cabinet of the country i.e. the Ministry of Education. The target of the institute is to research the ways by which artificial intelligence will be changing the ways kids are taught, as well as, for sparking an interest in artificial intelligence which would be preparing them well for a future that will be saturated with technology. The ambitious plans of China are to become the superpower of artificial intelligence across the globe, however, it was shown in a research that it still lags behind those nations that are developed in terms of artificial intelligence talent. With the target of expanding the domestic artificial intelligence sector, two years ago announcement was made by Chinese authorities regarding a plan for getting the education institutions to advance the talent pool of the artificial intelligence by giving encouragement to the kids in learning techniques like enhancing the present system of education, and by coding intelligent education which involves using artificial intelligence to teach, as well as, implement technologies such as facial recognition in the lecture hall.