The impact of deploying Artificial Intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients. A team of researchers directly compared physician evaluations of radiation treatments generated by an AI machine learning (ML) algorithm to conventional radiation treatments generated by humans. They found that in the majority of the 100 patients studied, treatments generated using ML were deemed to be clinically acceptable for patient treatments by physicians. Overall, 89% of ML-generated treatments were considered clinically acceptable for treatments, and 72% were selected over human-generated treatments in head-to-head comparisons to conventional human-generated treatments. Moreover, the ML radiation treatment process was faster than the conventional human-driven process by 60%, reducing the overall time from 118 hours to 47 hours.

The impact of deploying Artificial Intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients. A team of researchers directly compared physician evaluations of radiation treatments generated by an AI machine learning (ML) algorithm to conventional radiation treatments generated by humans. They found that in the majority of the 100 patients studied, treatments generated using ML were deemed to be clinically acceptable for patient treatments by physicians. Overall, 89% of ML-generated treatments were considered clinically acceptable for treatments, and 72% were selected over human-generated treatments in head-to-head comparisons to conventional human-generated treatments. Moreover, the ML radiation treatment process was faster than the conventional human-driven process by 60%, reducing the overall time from 118 hours to 47 hours.

Following a conversation and transcribing it precisely is one of the biggest challenges in artificial intelligence (AI) research. For the first time now, researchers of Karlsruhe Institute of Technology (KIT) have succeeded in developing a computer system that outperforms humans in recognizing such spontaneously spoken language with minimum latency. This is reported on arXiv.org. "When people talk to each other, there are stops, stutterings, hesitations, such as'er' or'hmmm,' laughs and coughs," says Alex Waibel, Professor for Informatics at KIT. "Often, words are pronounced unclearly." This makes it difficult even for people to make accurate notes of a conversation.

Deep learning programs at a diagnostic imaging lab in Case Western Reserve University (CWRU) now routinely defeat their human counterparts in diagnosing heart failure, detecting various cancers and predicting their strength. Anant Madabhushi, PhD, Director at the Center for Computational Imaging and Personalized Diagnostics in CWRU, can point to several recent examples of apparent cyber-superiority witnessed in his laboratory. But despite the increasingly sophisticated technologies being developed, he dismisses the idea of a coming future when such machines might replace pathologists and radiologists. "There's initially always going to be some wincing and anxiety among pathologists and radiologists over this idea – that our computational imaging technology can outperform us or even take our jobs," says Madabhushi. He contends that his research is not only creating powerful new diagnostic tools, but also helping to identify those patients with less advanced diseases who may not need more aggressive therapy.

Artificial Intelligence software has beaten humans in one of the world's most-challenging reading comprehension tests. In a feat being hailed as a world first, a deep neural network scored higher than the average person on a Stanford University designed quiz. The breakthrough could lead to more advanced robots and automated systems, capable of solving complex problems and answering difficult questions. Future applications could range from customer service to helping tackle social and political issues, like climate change and conflicts over resources. Artificial Intelligence software has beaten humans in one of the world's most-challenging reading comprehension tests.

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.

Of course, the limitations of this is that it is a best efforts prediction by expert practitioners. As the case of solar energy predictions shows, insiders are among the most conservative in their own field. Google DeepMind has bested human players this year. It did so using a tensor processing unit, which uses one tenth of the power as the GPU set up last year. So undeniably progress is fast. AlphaGo also paired up with human Go players in an interesting example of intelligence augmentation.