The "Trust in Technology" report published by HSBC found that consumers are apprehensive about letting chatbots and robo-advisors help them open a savings account or provide mortgage advice, despite the power of machines to analyze vast amounts of data to find the best deal. While technologies such as fingerprint recognition, voice recognition and robo-advice hold enormous potential for uses in the banking world -- from security to mobile payments and investment advice -- the research revealed low levels of trust in such innovations simply because consumers don't understand them, proving yet again the old maxim that people tend to fear anything new or unfamiliar. When asked whether AI-based services were already available or would be available in the next five years, 88% of respondents said they expected to see AI involved in nudging financial behavior, and 59% expected virtual reality bank consultations. For instance, the research showed that providing a very simple explanation of how voice recognition works, consumers' level of "trust in biometrics" rose from 45% to 51%.
There is no trigger to feel compassion toward this inanimate object: It is only a machine, made of plastic, and filled with microchips and wires. But in 2015, Japanese researchers found neurophysiological evidence that humans feel empathy for robots appearing to be in pain: Brain scans indicate that we have an automatic visceral empathic reaction with both humans and objects that look like humans. In other words, society's push toward humanizing AI could have the unintended consequence of the dehumanization of actual humans. These robots are built specifically to read and respond to human emotions and provide artificial empathy.
This is the latest development in the use of AI to do some truly amazing things with pictures. The researchers found that a more detailed prompt would deliver better results than a less detailed one. For example, the prompt of "A yellow bird with a black head, orange eyes, and an orange bill" returned a highly detailed image. The algorithm is able to pull from a collection of images and discern concepts like birds and human faces and create images that are significantly different than the images it "learned" from.
Researchers found that people's perceptions of potential dates' attractiveness goes up after they have a positive face-to-face interaction - but only for those who were rated mid to low attractiveness based on their photo. Researchers found that people's perceptions of potential dates' attractiveness goes up after they have a positive face-to-face interaction - but only for those who were rated mid to low attractiveness based on their photo The recent study, conducted by researchers at the University of Kansas, investigated how a person's perception changes of person they'meet' on a dating app when they come face-to-face in real life. By rating someone's attractiveness before meeting them diminishes the rater's evaluation of that person afterward, probably because the rater is comparing their conversation partner to all the other potential partners they saw online. The recent study was conducted by researchers at the University of Kansas, who investigated how a person's perception changes of others they'meet' on a dating app to when they come face-to-face in real life.
David Fleck, an associate professor at the UC College of Medicine, and his co-authors used artificial intelligence called "genetic fuzzy trees" to predict how bipolar patients would respond to lithium. The study authors found that even the best of eight common models used in treating bipolar disorder predicted who would respond to lithium treatment with 75 percent accuracy. But the model UC researchers developed using AI predicted how patients would respond to lithium treatment with 88 percent accuracy and 80 percent accuracy in validation. It turns out that the same kind of artificial intelligence that outmaneuvered Air Force pilots last year in simulation after simulation at Wright-Patterson Air Force Base is equally adept at making beneficial decisions that can help doctors treat disease.
Notably, Novartis (NYSE:NVS), which has also been involved in AI for two or three years, recently signed a deal with IBM Watson to explore the technology's use in breast cancer care. The collaboration's aims include identifying better treatment sequences or predictors of response, Pascal Touchon, Novartis' global head of oncology strategy, told EP Vantage. Also looking for patterns is London-based BenevolentAI, which hopes its machine-based learning approach to processing academic research, clinical studies and other health-related data will help identify correlations in data that could lead to new drugs and significantly speed up the process of drug development. With plenty of other companies clamoring to get into healthcare, including tech giants like IBM Watson and Alphabet, how will medtech and pharma groups compete in the AI space?
From devices that order our groceries to smart toys that speak to our children, high-tech home gadgets are no longer the stuff of science fiction. But even as they transform our lives, they put families at risk from criminal hackers taking advantage of security flaws to gain virtual access to homes, a report warns. The team then used the toy pets, which cost as little as £5.99 each, to send commands to the Amazon Echo home hub, using its'voice purchasing' system to order cat food from the online retailer.
How can we anticipate and manage trends in AI, and will creative and analytical skills really be the key to job success in an AI world? The progression and extensive testing of these vehicles presents a problem that cannot be easily fixed, meaning there'll be a gap between the smart cruise control phase and the introduction of a truly autonomous vehicle. That's not to say that autonomous vehicles won't be amazing. This next generation will become amazing at controlling and training the bots that manage their life.
"Many businesses will have to adapt their corporate governance policies to deal with the lack of a guaranteed outcome when implementing machine learning. While most enterprises start using machine learning to analyze their existing business for insights, the technologies have far-reaching application in specific industries, ranging from reduction of false positives in fraud detection to powering conversational interfaces for chatbots and virtual assistants." While some of the world's largest and innovative enterprises, such as Amazon, American Express, Citrix, Coca Cola, Facebook, Google, Netflix, PayPal, and Uber, already deploy projects powered by machine learning, ABI Research finds that not all will benefit. On the other hand, companies that focus only on ROI timetables will find emerging technologies, including machine learning, cybersecurity, and IoT, to be frustrating to implement and difficult to measure.
So far, automatically tuning an exoskeleton's force, and the timing of that oomf, is faster and better than hand-tuning. Thursday, in a paper published in Science, Poggensee and her fellow researchers outline an algorithm that calibrates an exoskeleton to best assist its user. Meanwhile, the tuning algorithm cycled through four sets of eight different patterns of assistive torque, varied in timing and amount of force. We Take Hyundai's Iron Man-Inspired Exoskeletons for a Spin After about an hour of this strolling, the algorithm pinned down the optimal timing and torque to minimize the energy cost of each walker's gait.