Imagine having to choose from over 14,000 different treatment scenarios to decide which drugs might be best for a child or a loved one affected by epilepsy. This is what faces many families according to the experts at Stanford and doc.ai who have announced a new type of clinical trial using artificial intelligence (AI). The project's goal is to help make the process more scientific using population data and less prone to lengthy individual trial-and-error. Researchers are analyzing medications, side effects, genomic information, environmental exposures, activity and even physical traits. This type of work produces vast amounts of information and requires so much processing power that it can only be performed by the latest AI systems.

When Rovio Entertainment released Angry Birds in 2009, mobile games weren't really a thing -- the Apple App Store, after all, had only launched a year earlier. Once the game went viral, however, Rovio saw its future was in the cloud. "It was an unchartered area for most of games," Rovio CTO Petri Hyökyranta said to ZDNet. Rovio signed up for the relatively young Amazon Web Services in 2011 and got to work building Beacon, a service platform for all of Rovio's games. Today, after 10 years on the market, Angry Birds games are still played by millions of people around the world each day.

BENGALURU: European aerospace major Airbus is working on a single-pilot aircraft to meet rising air travel demand, said chief technology officer Grazia Vittadini. Demand for air travel doubles every 15-20 years, which results in more noise, emissions, fuel consumption and a higher requirement for pilots. The single pilot model is being developed with the help of automation technologies such as artificial intelligence (AI). "While the human component will continue to be accountable for strategic decisions, AI will take care of the routine tasks, taking away workload from the pilot so that his/her attention is focused. There will be AI apps for aiding activities, such as image recognition of runways or signs at the airport and conversion of speech to text, as communication plays a significant part of the pilot's workload," Vittadini said.

With the Essential2020 plan all but complete, Orange has released the details of the Engage2025 strategy to drive growth over the next five years. The new strategy is going to be focused on four key pillars; reinventing the operator business model, accelerating growth in the developing markets and emerging segments, integrate artificial intelligence at the centre of every aspect of the business, and building sustainability goals through the organization. "If I had to summarise Engage2025, Orange's new strategic plan, I would use two words: growth and sustainability," said CEO Stephane Ricard. "The first one is growth. We are going to grow our core business – connectivity – by adding to our competitive edge and by making the most of our network infrastructure. We are also going to foster growth beyond connectivity in Europe thanks to three elements which set us apart from our competitors, namely Africa & the Middle East, B2B IT services and financial services. At Orange we are convinced that in the years ahead strong economic performance will not be possible without exemplary performance on social and environmental issues."

A hot trend in artificial intelligence in recent years has been the rise of impressive fakes -- fake headshots, fake videos, fake text. Deep learning techniques, part of machine learning, have gotten better and better at taking real-world data and using it to make something artificial, such as a picture, seem incredibly convincing. Researchers at the Massachusetts Institute of Technology on Monday announced an AI approach that goes in the opposite direction: it takes something real and makes it artificial. The application is somewhat surprising: knitted garments that need to be reproduced. The system studies a picture of a garment and computes a series of stitches to give to an automated knitting machine.

A report by research firm IDC in September said global spending for AI systems will reach $97.9 billion in 2023, a staggering increase from the projected $37.5 billion that will be spent this year. That means the annual growth rate will be 28.4 percent over the next several years. That's not surprising as BigTech is primed to increase their monopoly status in the 2020s with AI leadership that will boost GDP via machine learning with the emergence of an automation economy. Over the last few years, we have seen an exponential upthrust in the number of platforms, applications, and tools based on machine learning and AI technologies. We are seeing greater mainstream impact of algorithms, and machine learning in regular jobs across a variety of industries.

Qiu Rui, a policeman in Chongqing, was on duty this summer when he received an alert from a facial recognition system at a local square. There was a high probability a man caught on camera was a suspect in a 2002 murder case, the system told him. The depth, breadth and intrusiveness of China's mass surveillance may be unprecedented in modern history The city's surveillance system scans facial features of people on the streets from frames of video footage in real time, creating a virtual map of the face. It can then match this information against scanned faces of suspects in a police database. If there is a match that passes a preset threshold, typically 60% or higher, the system immediately notifies officers.

Qiu Rui, a policeman in Chongqing, was on duty this summer when he received an alert from a facial recognition system at a local square. There was a high probability a man caught on camera was a suspect in a 2002 murder case, the system told him. The depth, breadth and intrusiveness of China's mass surveillance may be unprecedented in modern history The city's surveillance system scans facial features of people on the streets from frames of video footage in real time, creating a virtual map of the face. It can then match this information against scanned faces of suspects in a police database. If there is a match that passes a preset threshold, typically 60% or higher, the system immediately notifies officers.

No one knows who gave Rahul Roy tuberculosis. Roy's charmed life as a successful trader involved traveling in his Mercedes C class between his apartment on the plush Nepean Sea Road in South Mumbai and offices in Bombay Stock Exchange. He cared little for Mumbai's weather. He seldom rolled down his car windows – his ambient atmosphere, optimized for his comfort, rarely changed. Historically TB, or "consumption" as it was known, was a Bohemian malady; the chronic suffering produced a rhapsody which produced fine art. TB was fashionable in Victorian Britain, in part, because consumption, like aristocracy, was thought to be hereditary. Even after Robert Koch discovered that the cause of TB was a rod-shaped bacterium – Mycobacterium Tuberculosis (MTB), TB had a special status denied to its immoral peer, Syphilis, and unaesthetic cousin, leprosy. TB became egalitarian in the early twentieth century but retained an aristocratic noblesse oblige. George Orwell may have contracted TB when he voluntarily lived with miners in crowded squalor to understand poverty. Unlike Orwell, Roy had no pretentions of solidarity with poor people. For Roy, there was nothing heroic about getting TB. He was embarrassed not because of TB's infectivity; TB sanitariums are a thing of the past. TB signaled social class decline. He believed rickshawallahs, not traders, got TB.