Research Report


These deep learning algorithms outperformed a panel of 11 pathologists

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During a 2016 simulation exercise, researchers evaluated the ability of 32 different deep learning algorithms to detect lymph node metastases in patients with breast cancer. Each algorithm's performance was then compared to that of a panel of 11 pathologists with time constraint (WTC). Overall, the team found that seven of the algorithms outperformed the panel of pathologists, publishing an in-depth analysis in JAMA. "To our knowledge, this is the first study that shows that interpretation of pathology images can be performed by deep learning algorithms at an accuracy level that rivals human performance," wrote lead author Babak Ehteshami Bejnordi, MS, Radboud University Medical Center in Nijmegen, the Netherlands, and colleagues. The simulation took place during the Cancer Metastases in Lymph Nodes Challenge 2016 (CAMELYON16) in the Netherlands.


Your workplace rewards men more and an AI can prove it

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On average, in these companies, executive positions were heavily dominated by dudes, while entry-level positions showed less disparity and were filled by 45% women and 55% men. That few women occupied powerful positions is no wonder: The numbers show that along the work hierarchy women's accomplishments were consistently deemed less impressive than those of men who accomplished the same goals. As a result, women were promoted less often and could not rise to the top as often as similarly skilled men. The study was based on employee feedback, goals, accomplishments, performance reviews, and promotions. Employees gave feedback about bosses and colleagues.


New research highlights the unlocked potential of the human brain

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Global technology company Huawei has launched a study on the similarities between the human brain and Artificial Intelligence, which reveals that the average European is unaware of 99.74% of the actual decisions they make every day, showing how hard our brain works without us having to consciously engage it. It is commonly accepted that the human brain makes approximately 35,000 decisions a day; however, the new research, polling 10,000 Europeans, reveals that we are aware of just 0.26% of these decisions with respondents on average believing they make only 92 decisions per day. Walter Ji, President, Huawei Western Europe Consumer Business Group comments, "The research shows how human intelligence works just like Artificial Intelligence, operating in the background to empower us in everything we do. While revealing a significant gap between the number of decisions we believe we make every day and the actual number we make, the results also shed light on other discrepancies between how we think we spend our time, and how we actually spend it." The research also revealed how people would like their smartphones to help with decisions and make their lives easier, with 47% saying they would like to be presented with creative ways to use up the food that's in their fridge, and 43% saying they would like automatic notifications about travel.


Secrets of Great Pyramid of Giza to be revealed by a robot

Daily Mail

The 4,500-year-old secrets of the Great Pyramid of Giza's maze of hidden chambers are set to be revealed by an inflatable robot. Researchers are building a blimp-like probe that enters ancient monuments via a 3.5-centimetre (1.4-inch) 'keyhole' drilled through a wall. Once inflated inside the chamber, the drone flies like a blimp to explore inaccessible areas with minimal damage to artefacts or structures hidden within. Last month, a mysterious 30-metre (100ft) void nestled above the pyramid's Grand Gallery deep within the monument was discovered by an international team of researchers. The 4,500-year-old secrets of the Great Pyramid of Giza's hidden chambers are set to be revealed by an inflatable robot (artist's impression).


How can Retail and E-commerce Benefit from Data Science

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The global retail analytics market is expected to grow by $5.1 billion by 2022 to an estimated $8.64 billion. This extraordinary growth will largely be driven by the use of data science in disrupting the retail sector -- changing the way retailers do business online and offline, from the way stores organise their layout to hyper-targeted and optimised pricing and offers. In the UK alone, the retail sector is worth more than £368bn, employs 2.3 million people and accounts for 1/3 of all consumer spending. Retail generates huge amounts of highly valuable data that businesses are only recently starting to utilise. However, recent reports suggest that the sector is struggling, due to changing spending habits and shifting shopping trends.


Google provides better sexual health information than Siri

Daily Mail

With 41 per cent of internet users admitting to looking online for health-related questions, it's important that they can find quality content. But a new study suggests that smart assistants aren't quite as good as Google searches at providing quality advice when it comes to sexual health. The researchers hope their findings will encourage internet users to treat health information online with caution. A new study suggests that smart assistants aren't quite as good as Google searches at providing quality advice when it comes to sexual health (stock image) Researchers from the University of Otago asked Apple's Siri and Google Assistant to answer questions and perform tasks. The team selected 50 questions to test the software and then compared their answers with a laptop based Google search.


Picture of Health: Can AI Eye Scan Reveal What Ails You?

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The light-sensitive layer found at the back of a person's eyes contains more than just cells that detect shadows and light -- it also contains information about the health of a person's entire body. And now, artificial intelligence can glean this information from a single snapshot, new research suggests. The new AI algorithm, which analyzes images of this light-sensitive layer of the eye, called the retina, could one day provide on the spot diagnoses of various ailments from diabetes to autoimmune and neurodegenerative diseases, the researchers claim. The AI algorithm was presented by Dr. Ursula Schmidt-Erfurth, the director of the ophthalmology department at the Medical University of Vienna, earlier this month at a scientific meeting in Vienna. Research on the algorithm was published Dec. 8 in the journal Ophthalmology.


Study: AI Really Could Be a Breakthrough for Cancer Detection

Mother Jones

If you haven't lost your job to a computer yet, you probably will. Experts predict that robots will be folding laundry for us in the next five years, driving trucks in the next 10, and performing surgery in the next 40. And, they predict, they'll be doing it better than humans. This could lead to a massive shift in our economy, setting off an "era of mass joblessness and mass poverty," as Mother Jones' Kevin Drum recently reported. But what if technology being able to perform tasks better than humans also meant we'd be saving more lives?


Industry-Leading Customer Experiences: How to Identify Opportunities, Bridge Silos and Accelerate Results With Augmented Intelligence Forbes Insights

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The rise of augmented intelligence--including artificial intelligence, machine learning and natural language processing--is making it easier and more cost-effective to collect, dissect, critically analyze and respond to vastly more data. Forbes Insights research shows that today's leading companies are using augmented intelligence to eliminate silos and create personalized customer experiences. The research in this study was conducted by Forbes Insights and sponsored by IBM. The findings are based on a September 2017 survey of 305 senior marketing, commerce and supply chain executives based in the U.S. One-quarter of respondents were C-suite executives (24%), 43% were EVP/SVP/VPs, and 33% were executive directors and directors. The study represented a cross-section of industries.


AI studies storytelling in movies to learn about emotions

Daily Mail

Machines could soon be writing the latest Hollywood blockbuster, thanks to a breakthrough in teaching AI about narrative arcs in storytelling. Experts trained machine learning algorithms to recognise positive and negative emotions through thousands of hours of video footage, including Pixar's Up. By the end of the process, the neural networks were able to predict an audience response to a film on a second by second basis. The technique could be used to create AI systems that are capable of generating their own tear-jerkers. Machines could soon be writing the latest Hollywood blockbuster, thanks to a breakthrough in teaching AI about narrative arcs in storytelling.