We're starting to get a better picture of how artificial intelligence could help doctors better treat cancer. And in data presented at the American Society of Clinical Oncology meeting, IBM Watson Health gave a snapshot of how it's playing out so far. The studies looked at concordance rates, or how often Watson for Oncology reached the same course of treatment as the cancer doctors at different cancer centers around the world. At Manipal Comprehensive Cancer Center in India, for 112 cases of lung cancer, there was 96.4% concordance between Watson and the doctors. For 126 cases of colon cancer it was 81% of the time, and for 124 cases of rectal cancer cases were 92.7%.

Artificial intelligence systems could outperform humans in all tasks within the next 45 years, according to a new study which also suggests that all human jobs will be automated in the next 120 years. According to a survey of over 350 artificial intelligence (AI) researchers, machines are predicted to be better than us at translating languages by 2024, writing high-school essays by 2026, driving a truck by 2027, working in retail by 2031, writing a bestselling book by 2049 and surgery by 2053. However, there is only a five per cent chance that computers will bring about outcomes that may lead to human extinction, researchers said. The survey, by the University of Oxford in the UK and Yale University in the US, was conducted among 352 researchers who had presented their research at the Conference on Neural Information Processing Systems or the International Conference on Machine Learning – the two major conferences in the field of AI. "There is accumulating evidence that machines can overpower human intelligence in complex, though specific tasks," Eleni Vasilaki at the University of Sheffield in the UK, told the'New Scientist'. Also Read: Even'dumb AI' can boost human performance, says study However, there is little evidence that AI with human-like versatility will appear any time soon, Vasilaki said.The survey results showed that researchers in Asia typically gave shorter time frames than those in North America – predicting that AI would outperform humans on all tasks within 30 years, compared with 74 years.

The next version of Microsoft's open source machine learning tools arrived today to give developers a hand in creating intelligent systems. The Microsoft Cognitive Toolkit (previously known as CNTK) provides a set of tools to help developers build systems based on deep learning, without requiring PhD-level knowledge. This revision of the Cognitive Toolkit provides a number of new features, including beta support for Keras, a popular high-level Python API for quickly coding up neural networks. TensorFlow and Theano, two other machine learning frameworks, already support Keras, and this update means it would be possible for data scientists to easily port their code between three different backends. The toolkit also includes support for compressing models to run on lower-powered devices, making it easier for companies to roll out machine learning to edge devices.

Globally, the native digital assistant installed base is set to exceed 7.5 billion active devices by 2021, which is more than the world population according to the US Census Bureau on May 1, 2017. But fear not – Skynet, from the popular Terminator movies, does not feature among the leading digital assistants. Instead, Google Assistant will dominate the voice AI–capable device market with 23.3% market share, followed by Samsung's Bixby (14.5%), Ovum's Digital Assistant and Voice AI–Capable Device Forecast: 2016–21 found that smartphones and tablets clearly lead the voice AI–capable device market, with 3.5 billion active devices in 2016, most of which use Google Now and Apple Siri. However, the use of AI in conjunction with other devices greatly increases consumer engagement and is set to unlock new opportunities, particularly in the home. Ovum expects an exponential uptake of voice AI capabilities among new devices, including wearable, smart home, and TV devices, with a combined installed base of 1.63 billion active devices in 2021, a tenfold increase on 2016.

In the Big Data era, many scientific and engineering domains are producing massive data streams, with petabyte and exabyte scales becoming increasingly common. Besides the explosive growth in volume, Big Data also has high velocity, high variety, and high uncertainty. These complex data streams require ever-increasing processing speeds, economical storage, and timely response for decision making in highly uncertain environments, and have raised various challenges to conventional data analysis. With the primary goal of building intelligent systems that automatically improve from experiences, machine learning (ML) is becoming an increasingly important field to tackle big data challenges, with an emerging field of "Big Learning," which covers theories, algorithms and systems on addressing big data problems. Bayesian methods have been widely used in machine learning and many other areas.

We're starting to get a better picture of how artificial intelligence could help doctors better treat cancer. And in data presented at the American Society of Clinical Oncology meeting, IBM Watson Health gave a snapshot of how it's playing out so far. The studies looked at concordance rates, or how often Watson for Oncology reached the same course of treatment as the cancer doctors at different cancer centers around the world. At Manipal Comprehensive Cancer Center in India, for 112 cases of lung cancer, there was 96.4% concordance between Watson and the doctors. For 126 cases of colon cancer it was 81% of the time, and for 124 cases of rectal cancer cases were 92.7%.

There's no doubt that AI is a hot topic right now. Whether it's financial services or healthcare, most industries are looking to capitalize on the technology for their benefit. Looking at the hotel industry specifically, is it another example of technology looking for a problem to solve? To answer the question, we need to consider where AI is currently in use, the heady design considerations around the technology, and articulating what it could mean moving forward. In the first place, AI is not new to the travel and hospitality industry.

London: Artificial intelligence systems could outperform humans in all tasks within the next 45 years, according to a new study which also suggests that all human jobs will be automated in the next 120 years. According to a survey of over 350 artificial intelligence (AI) researchers, machines are predicted to be better than us at translating languages by 2024, writing high-school essays by 2026, driving a truck by 2027, working in retail by 2031, writing a bestselling book by 2049 and surgery by 2053. However, there is only a five per cent chance that computers will bring about outcomes that may lead to human extinction, researchers said. The survey, by the University of Oxford in the UK and Yale University in the US, was conducted among 352 researchers who had presented their research at the Conference on Neural Information Processing Systems or the International Conference on Machine Learning--the two major conferences in the field of AI. "There is accumulating evidence that machines can overpower human intelligence in complex, though specific tasks," Eleni Vasilaki at the University of Sheffield in the UK, told the New Scientist. However, there is little evidence that AI with human-like versatility will appear any time soon, Vasilaki said. The survey results showed that researchers in Asia typically gave shorter time frames than those in North America--predicting that AI would outperform humans on all tasks within 30 years, compared with 74 years.

After bringing in Lamborghinis and Ferraris to patrol roads, Dubai police have enrolled a robotic officer, the first in a unit that aims to make up a quarter of the force by 2030. The robotic cop stood to attention Wednesday night at the foot of Burj Khalifa, the world's tallest tower, as tourists and passersby snapped selfie souvenir photos by its side. Wearing a police cap and moving on wheels, the robot features a computer touch-screen on its chest that can be used to report a crime or inquire about speeding tickets. At 5ft 5in tall and weighing 100kg, it can speak six languages and is designed to read facial expressions. "Our aim is to raise the number of robots to 25 percent of the police force by 2030," said Brigadier Khaled al-Razzooqi, head of Smart Services at Dubai police.

The ever-growing geriatric population across the globe is one of the key drivers influencing the growth of healthcare assistive robot market. Rising medical care demands from the physically disabled patient base is another pivotal factor favoring the healthcare assistive robot industry trends. In recent times, technological innovations have resulted in the introduction of accurately featured assistive robots that can be customized suitably in accordance with the patient requirements. As per the report by Global Market Insights, Inc., "Healthcare assistive robot market will record an annual growth rate of 18.9% over the coming years of 2016 to 2024." Moreover, the shortage of skilled caretakers is also pushing the growth of healthcare assistive robot market significantly.