From booking systems to customer and feedback services, chatbots are ubiquitous in business. But in areas, such as health or the home, people seem less willing to engage with what is effectively a computer running smart software or a machine that "learns" thorough artificial intelligence (AI). However, businesses are increasingly taking advantage of advances in emotionally intelligent AI to open up new opportunities to gain people's trust when it comes to more sensitive subjects. Nowhere is the use for emotionally intelligent AI more apparent than in healthcare. When pharmaceutical company HRA Pharma Deutschland was looking at using a chatbot to give women in Germany advice on the morning-after pill, it needed it to do more than parrot its website.
We begin this journey through our favorite articles of the month by discovering and reading one of the most influential paper of natural language processing (NLP). Papers can be intimidating to read. So I liked the author's idea of combining screenshots from the original paper, explanations in plain English and code snippets with an actual implementation of the paper in Python. The article can be read at different levels: from the presentation of encoders, decoders and the attention function to real-world examples including the use of regularization and GPU training. One of the world-famous universities of California -- Berkleley -- launches its new data science program.
When Amazon first came out with a smart recommendation algorithm for customers, millions of consumers receive their first tailored shopping experience personalized to their own interests. This changed the consumer world and introduced us to a whole new era of shopping. Amazon's algorithms, using a method called "item-to-item collaborative filtering", are able to provide targeted shopping recommendations by creating a personalized experience for each person. Even in a very basic form, this was the beginning of using machine learning in a very practical manner. But can such artificial intelligence and machine learning also act as an enabler for changes in medicine and healthcare, as much as Amazon's algorithm changed consumerism?
Speaking today at Solve at MIT, Canadian Prime Minister Justin Trudeau said that the best way to deal with the accelerating pace of profound changes in the world is to step up and help to influence how those changes unfold. Solve at MIT is the annual flagship meeting of Solve, which challenges teams around the world to come up with solutions to great challenges facing society. People can be afraid of the changes being wrought by new technologies and an increasingly global and diverse society, and try to cling to past ways, "or else we can decide to shape the change," he said. "That's what's happening here at MIT, and it's also very much the mindset we take in Canada, and it's the mindset we need around the world." He added that "there are going to be tremendous shifts, so let's be part of it.
Memory transfer has been at the heart of science fiction for decades, but it's becoming more like science fact. A team successfully transplanted memories by transferring a form of genetic information called RNA from one snail into another. The snails were trained to develop a defensive reaction. When the RNA was inserted into snails that had not undergone this process, they behaved just as if they had been sensitised. The research, published in the journal eNeuro, could provide new clues in the search for the physical basis of memory.
Thursday, May 10, 2018, Baltimore, MD - Insilico Medicine, a Baltimore-based next-generation artificial intelligence company specializing in the application of deep learning for target identification, drug discovery and aging research announces the publication of a new research paper in Molecular Pharmaceutics journal titled "Adversarial Threshold Neural Computer for Molecular De Novo Design". The described Adversarial Threshold Neural Computer (ATNC) model based on the combination of Generative Adversarial Networks (GANs) with Reinforcement Learning (RL) is intended for the design of novel small organic molecules with the desired set of pharmacological properties. "This is a proof of concept scratching the surface of what we have in house. Stay tuned for the cool experimental validation results to be announced this Summer. I hope that part of this work integrated into our pipeline will help make the world a better and healthier place and help make perfect molecules for specific targets and multiple targets that will have a much higher chance of becoming great drugs", said Evgeny Putin, the deep learning lead at Insilico Medicine.
Diagnosing Alzheimer's disease (AD) is challenging, time consuming, and costly. Currently, there is no single test, or series of tests, that can determine with 100% certainty whether an individual has developed AD. In fact, AD cannot be definitively diagnosed until after death, when the brain can be closely examined for certain microscopic changes caused by the disease. When an individual reports to a doctor that he or she has experienced bouts of memory loss or decreased cognitive function, he or she may be assessed using a variety of cognitive and physical tests, some quite invasive, to determine whether he or she "probably" has AD. However, this diagnosis requires visible symptoms that may only show up when it is too late to start preventative measures.
The ability to remember a sequence of events as they happened seems like a quality restricted to humans. Previously, we had no clue if animals could do something similar, which is not the case anymore. A group of scientists discovered rats can also remember episodes of past memory. The find, a first in the field of neuroscience, is not exactly similar to human's ability to remember things but could be the key to develop better treatments for Alzheimer's disease. "The reason we're interested in animal memory isn't only to understand animals, but rather to develop new models of memory that match up with the types of memory impaired in human diseases such as Alzheimer's disease," lead author Jonathon Crystal said in a statement.
In December of 2012, Su-In Lee was working at the University of Washington in Seattle. One day, she got the kind of call everyone fears: Her father, Cheol Lee, was diagnosed with gallbladder cancer, a rare and aggressive form of the disease. By the time he was diagnosed, his cancer had already spread to other organs. "It was a surprise to our family," Lee said on the newest episode of GeekWire's Health Tech Podcast. "The next day I just went back to Korea and met his doctor and then found that it's incurable, especially in that stage."