If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
THE UK public is well-informed and positive about science and technology, but its hopes and fears are largely being ignored by politicians. That is the key finding of an exclusive New Scientist survey of public attitudes to science, technology, medicine and the environment. The 2018 New Scientist Asks the Public survey reveals that the issues uppermost in people's minds are genetic engineering, artificial intelligence, cancer and climate change. They believe these things are "most likely to have an impact on society and human life". But people are not expecting a sci-fi apocalypse – public opinion is surprisingly upbeat.
It's obvious that it takes years to train doctors, especially those who handle serious and complicated medical issues – pathologists, cardiologists, dermatologists and the rest, that's why there's always a shortage of these lifesaving experts. Thanks to artificial intelligence because now, machines can be trained to help fill that shortage. In fact, already, we have AI tools that can diagnose pneumonia, fungi, depression and certain eye infections -- all with an average accuracy rate of over 92 percent. And you know what, the list is expanding further! Chinese researchers have managed to develop a new system that diagnoses prostate cancer, as accurately as pathologists do.
This paper presents an efficient binarized algorithm for both learning and classification of human epileptic seizures from intracranial electroencephalography (iEEG). The algorithm combines local binary patterns with brain-inspired hyperdimensional computing to enable end-to-end learning and inference with binary operations. The algorithm first transforms iEEG time series from each electrode into local binary pattern codes. Then atomic high-dimensional binary vectors are used to construct composite representations of seizures across all electrodes. For the majority of our patients (10 out of 16), the algorithm quickly learns from one or two seizures (i.e., one-/few-shot learning) and perfectly generalizes on 27 further seizures. For other patients, the algorithm requires three to six seizures for learning. Overall, our algorithm surpasses the state-of-the-art methods for detecting 65 novel seizures with higher specificity and sensitivity, and lower memory footprint.
A child with autism spectrum disorder (ASD) might have trouble communicating verbally, paying attention to others, or controlling their stress and anxiety. These difficulties can affect the child's social life and their success in school. Now, a team of researchers from robotics startup LuxAI have created QTrobot, a bot designed to help children with autism learn valuable social skills. They plan to present the results of a QTrobot study at RO-MAN 2018, a symposium on robot and human interactive communication, on August 28. QTrobot is just over two feet tall, with a humanoid body and a screen where a person's face would be.
Levin Kuhlmann, PhD, with Australia's University of Melbourne, said the team's evaluation revealed, on average, a 90 percent improvement in seizure prediction performance compared to previous results. Since the contest, researchers have developed the site Epilepsyecosystem.org, "Accurate seizure prediction will transform epilepsy management by offering early warnings to patients or triggering interventions," Kuhlmann said in the release. "Our results highlight the benefit of crowdsourcing an army of algorithms that can be trained for each patient and the best algorithm chosen for prospective, real-time seizure prediction. It's about bringing together the world's best data scientists and pooling the greatest algorithms to advance epilepsy research.
A boy who had a large portion of his brain removed to relieve his severe epilepsy is still able to function normally, showing how adaptable our brains can be. The boy started having seizures at the age of four. No treatments could stop his epilepsy, so as a last resort surgeons removed a third of his brain's right hemisphere just before his seventh birthday. This "lobectomy" surgery removed his entire occipital lobe, which carries out visual processing, and most of his temporal lobe, which processes visual and auditory information. Researchers wanted to find out how the boy's brain would recover after losing one of its visual centres – we usually have two, one in each of the brain's hemispheres.
Google Glass may have never been a hit with the average consumer, but it could soon become an important tool for children with autism who hope to improve their social skills. A new exploratory study published in npj Digital Medicine provides fresh evidence that augmented reality glasses paired with the right software can make a big difference for kids with autism. The study looked at the effects and feasibility of using a wearable called Superpower Glass. Developed by a team at Stanford University School of Medicine, Superpower Glass runs on Google Glass and an Android smartphone. It uses machine-learning-assisted software to help children identify emotions as they navigate social interactions.
The researcher who invented Viagra and a colleague at Cambridge University have become the latest to join the ranks of drug developers using artificial intelligence and attracting attention from venture capitalists. Cambridge, UK-based Healx said Thursday that it had raised $10 million in a Series A funding round, led by London-based venture capital firm Balderton Capital. Fellow British venture capital firm Amadeus Capital Partners and Jonathan Milner – founder of life sciences supplier Abcam – also participated. Cambridge Rare Diseases Network founder Tim Guilliams and David Brown – who invented Pfizer's erectile dysfunction drug, which is now available as a generic – are the founders of Healx. The company uses the HealNet database, which maps more than 1 billion disease, patient and drug interactions and was built and maintained using machine learning techniques.
Futurists of the 1950s and '60s predicted that by the 2000s, flying cars and airborne robots would be a part of our everyday lives. Instead, we live in a world dominated by live streaming, smartphones and social networks. Related: Make Innovation Systematic and Never Again Ask'Why Didn't We Think of That?' While those forecasters didn't quite get the timing right, they got the technology right. Today, we are at the brink of another technological boom. This time, technologies like self-driving vehicles and robot assistants are under development.