The unpublished work was presented at the Society for Neuroscience's annual meeting in Washington, D.C. It's one example of different kinds of learning that researchers would like to develop in AI -- and one based on aspects of human intelligence that computers haven't mastered yet. The approach is among a few being tried but one that some researchers are excited about because, as Hassabis recently wrote, "[The human brain is] the only existing proof that such an intelligence is even possible." "A lot of the machine learning people now are turning back to neuroscience and asking what have we learned about the brain over the last few decades, and how we can translate principles of neuroscience in the brain to make better algorithms," says Saket Navlakha, a computer scientist at the Salk Institute for Biological Sciences. Last week, he and his colleagues published a paper suggesting that incorporating a strategy used by fruit flies to decide whether to avoid an odor it hasn't encountered before can improve a computer's searches for similar images. The big question for all AI approaches: What problem is a particular algorithm best suited to solve, and will it be better than other AI techniques?
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For as long as artificial intelligence and machine learning tools have been moving into the workforce, there have been rumblings of robots taking over the work of people, and the impact that could have on their career prospects. However, new studies undertaken by global professional services brand Genpact of 5,000 respondents in the United Kingdom, United States, and Australia, shows that the level of concern among the workers themselves is not very high. Roughly twenty percent of those surveyed in the UK felt that their jobs were threatened by AI, with only six percent feeling this strongly. But, although they did not feel overly cautious about their own prospects, they saw the potential disadvantages for the next generation of workers, with over fifty percent responding there was a threat to their children's careers, and over eighty percent stating that new skills will be needed for those workers in order to succeed in an AI advanced environment. The reason for this caution can be found in the training, or lack thereof, in the use of AI.
Speaking at the Misk Global Forum in Riyadh, Saudi Arabia this week, Microsoft co-founder and now billionaire philanthropist Bill Gates shared his thoughts on today's technological advancements, including artificial intelligence (AI). Gates, who has previously warned about the challenges AI could bring, told audiences at a CNBC-moderated panel during the forum that the benefits of AI will far outweigh these potential pitfalls -- particularly in the case of healthcare AI. "We are in a world of shortage, but these advances will help us take on all of the top problems," Gates said, CNBC reports. "We need to solve these infectious diseases … We need to help healthcare workers do their job." Gates also pointed out how AI and robotics will reshape the labor landscape in the developed world. "As we free labor up from things like manufacturing, we can shift it to some of these very human-centric needs," he explained, giving society time to take care of the elderly, for example.
Can artificial intelligence save our food system? From precision farming to personalized nutrition, there are many potential technological applications in farming, food production, and food consumption. However, technological performances, user acceptance, and practical applications of the technology continue to pose challenges. In this three-part series, Chiara Cecchini investigates the main challenges and opportunities of this niche, exploring how we might use artificial brains leverage to ensure healthy lives and promote well-being. According to The One Hundred Year Study on Artificial Intelligence, lead by Stanford University, artificial neural networks can now be trained with huge data sets and large-scale computing (deep learning), boosting data-driven solutions for improving decisionmaking.
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published in Brain. "Current statistical models are too simple. They fail to capture complex biological variations across people, discarding them as mere noise. We suspected this could partly explain why so many drug trials work in simple animals but fail in the complex brains of humans. If so, machine learning capable of modelling the human brain in its full complexity may uncover treatment effects that would otherwise be missed," said the study's lead author, Dr Parashkev Nachev (UCL Institute of Neurology).
The Pittsburgh Supercomputing Center received five @HPCwire awards, including one for poker AI'Libratus' The Pittsburgh Supercomputing Center (PSC) received not one, but five HPCwire awards at the 2017 International Conference for High-Performance Computing (HPC), Networking, Storage and Analysis (SC17) on Sunday, Nov. 12. One of the three Readers' Choice Awards that PSC received was for Best Use of AI: CMU School of Computer Science "Libratus" AI on PSC's "Bridges" wins Brains vs. AI competition. HPCwire represents the leading trade publication in the supercomputing community and their annual Readers' and Editors' Choice Awards, given out at the start of the annual supercomputing conference, are well respected in that community. The awards are determined based on a nomination and voting process among the HPCwire community as well as selections from the publication's editors. In addition to Best Use of AI, PSC received two more Readers' Choice Awards -- Outstanding Leadership in HPC (Nick Nystrom, Interim Director, PSC) and Best Use of HPC in Energy (PSC with Texas A&M uses OpenFOAM on PSC Bridges & Texas Advanced Computing Center's Stampede to better understand coolant & heat transfer in high-temperature-jet reactors).
At a time when technologies like Artificial Intelligence are becoming the new world order, Karnataka is betting big to prepare itself for these new drivers of employment. Drones that monitor crop health, medical devices for early detection of cancer and apps that help visually impaired read and identify objects were some of the AI--based innovations on display at the Bengaluru Tech Summit 2017. Many of these companies pitched their products and services to an audience of top business executives, government officials, and investors at Karnataka government's flagship event held in Palace Grounds here. "We are at the beginning of what is called as fourth industrial revolution," said Kris Gopalakrishnan, co-founder of software giant Infosys. He said multinational companies are setting up research and development facilities here because they are able to find professionals at a scale who understand technologies such as AI and Machine Learning.
Stanford researchers have developed an algorithm that offers diagnoses based off chest X-ray images. A paper about the algorithm, called CheXNet, was published Nov. 14 on the open-access, scientific preprint website arXiv. "Interpreting X-ray images to diagnose pathologies like pneumonia is very challenging, and we know that there's a lot of variability in the diagnoses radiologists arrive at," said Pranav Rajpurkar, a graduate student in the Machine Learning Group at Stanford and co-lead author of the paper. "We became interested in developing machine learning algorithms that could learn from hundreds of thousands of chest X-ray diagnoses and make accurate diagnoses." The work uses a public data set initially released by the National Institutes of Health Clinical Center on Sept. 26.
We've been overusing the term Artificial Intelligence and AI with everyone we meet online and offline. Mostly inspired by its influence in multiple industries. The way industries are employing this smart technology is indeed overwhelming. In fact, the use of machine learning, artificial intelligence, and deep learning is becoming pervasive in all walks of life. This ubiquitous and generous use of AI gives us a tonne of hope and curiosity about how Artificial Intelligence is going to help us deal with our day-to-day hardships.