Robots operating in everyday environments must often decide when and whether to engage with people, yet such decisions often hinge on subtle nonverbal cues that unfold over time and are difficult to model explicitly. Drawing on a five-day Wizard-of-Oz deployment of a mobile service robot in a university cafe, we analyze how people signal interaction readiness through nonverbal behaviors and how expert wizards use these cues to guide engagement. Motivated by these observations, we propose a two-stage pipeline in which lightweight perceptual detectors (gaze shifts and proxemics) are used to selectively trigger heavier video-based vision-language model (VLM) queries at socially meaningful moments. We evaluate this pipeline on replayed field interactions and compare two prompting strategies. Our findings suggest that selectively using VLMs as proxies for social reasoning enables socially responsive robot behavior, allowing robots to act appropriately by attending to the cues people naturally provide in real-world interactions.

Given two Deep Neural Network (DNN) classifiers with the same input and output domains, our goal is to quantify the robustness of the two networks in relation to each other. Towards this, we introduce the notion of Relative Safety Margins (RSMs). Intuitively, given two classes and a common input, RSM of one classifier with respect to another reflects the relative margins with which decisions are made. The proposed notion is relevant in the context of several applications domains, including to compare a trained network and its corresponding compact network (e.g., pruned, quantized, distilled network). Not only can RSMs establish whether decisions are preserved, but they can also quantify their qualities. We also propose a framework to establish safe bounds on RSM gains or losses given an input and a family of perturbations. We evaluate our approach using the MNIST, CIFAR10, and two real-world medical datasets, to show the relevance of our results.

Abstract: Global Artificial Intelligence (AI) Robots Market to Reach $21. 4 Billion by 2026. AI or artificial intelligence in robotics is the integration of AI technology with robots enabling them to more efficiently perform repetitive tasks without human intervention.New York, Oct. 08, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Artificial Intelligence (AI) Robots Industry" - https://www.reportlinker.com/p06030753/?utm_source=GNW AI also enables robots

PRN About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

Black Knight, Inc. (BKI), a leading provider of integrated software, data and analytics to the mortgage and real estate industries, announced the completion of an independent analysis of the real-world impact of the company's artificial intelligence (AI) solution, AIVA. Using actual findings from the operations of a top 50 lender in Q4 2018, MarketWise Advisors, LLC – a management consulting firm focused on technology in the financial services industry – found that using AIVA can significantly drive down the cost of mortgage originations. The study identified a savings of up to $437 per originated loan, with the cost impact continuing to grow significantly as AIVA's machine learning and unique pattern recognition capabilities mature to include more skills. "Through the independent analysis of an unbiased third party, we have been able to show that lenders can expect to see significant savings by incorporating AIVA into their origination process," said Anthony Jabbour, Chief Executive Officer of Black Knight. "Leveraging AIVA results in significant cost savings, provides the ability to redirect tens of thousands of man hours to items more focused on satisfying customers and produces a return on investment nearing 500%."

One of the amazing (and scary) things about artificial intelligence programs is that in learning to mimic their human masters so perfectly, these wonders of computer software hold up a mirror to patterns of behavior we engage in every day but may not even notice. Beyond their extraordinary usefulness in industry, medicine and communications, these "learning" programs can lay bare the mental shortcuts we humans use to make sense of our world. Indeed, new research with artificial intelligence programs highlights the ethnic and gender biases of English speakers. In a first-of-its-kind effort, a group of Princeton University computer scientists set a widely used artificial intelligence program to the task of learning English by performing a massive "crawl" of the World Wide Web. After gobbling up some 840 billion words, the software developed a vocabulary of 2.2 million distinct words, and the fluency to use them in ways that were grammatically correct.

If you are among the scant 33% of U.S. adults who believe that humans and other living things evolved solely by a process of natural selection, it might be time to put your money where your mouth is. No, this is not a political fundraising pitch. It's a notice of the impending sale, by auction, of a piece of scientific history -- a signed manuscript page from the concluding chapter of Charles Darwin's "On the Origin of Species." Written in the compressed, right-slanting script of Darwin himself, the sheet is numbered "245" in the upper right-hand corner, and would go on to become page 514 of the latest, 3rd edition of his landmark tome. It was likely written in 1859, when the English biologist was about 50 years old.

There are lots of reasons why doctors encourage new mothers to breastfeed their babies. Compared with babies who get formula, babies who are breastfed are less likely to die as a result of infections, sudden infant death syndrome or any other reason. The longer a mother nurses -- and the longer she does so exclusively -- the bigger the benefits, studies show. Another perceived benefit of breastfeeding is the possibility that it boosts a baby's brain. A clinical trial involving more than 16,000 infants in Belarus who were randomly assigned to get either special support for breastfeeding (based on a program from the World Health Organization and UNICEF) or a hospital's usual care found that babies in the first group scored an average of 7.5 points higher on a verbal IQ test and 5.9 points higher on overall IQ.

Researchers have some bad news for moms who used DHA supplements while they were pregnant in hopes of boosting their baby's brains: At age 7, kids whose mothers took DHA scored no higher on an IQ test than kids whose moms swallowed capsules that were DHA-free. The results are the latest findings from a study assessing the benefits -- if any -- of giving DHA to babies in utero. They appear in Tuesday's edition of the Journal of the American Medical Assn. DHA, short for docosahexaenoic acid, is an omega-3 fatty acid that plays a key role in brain health. It's essential throughout our lives, and especially during infancy when the brain, eyes and nervous system are developing.