We propose a novel neural network architecture, named the Global Workspace Network (GWN), that addresses the challenge of dynamic uncertainties in multimodal data fusion. The GWN is inspired by the well-established Global Workspace Theory from cognitive science. We implement it as a model of attention, between multiple modalities, that evolves through time. The GWN achieved F1 score of 0.92, averaged over two classes, for the discrimination between patient and healthy participants, based on the multimodal EmoPain dataset captured from people with chronic pain and healthy people performing different types of exercise movements in unconstrained settings. In this task, the GWN significantly outperformed a vanilla architecture. It additionally outperformed the vanilla model in further classification of three pain levels for a patient (average F1 score = 0.75) based on the EmoPain dataset. We further provide extensive analysis of the behaviour of GWN and its ability to deal with uncertainty in multimodal data.

Artificial intelligence is gaining traction in areas of social responsibility. From climate change to social polarization to epidemics, humankind has been seeking new solutions to old but persistent problems. From a technological point of view, the amount of daily data produced in the digital universe now allows for state-of-the-art approaches, which may lead to innovative solutions in these underserved areas. AI for social good turned into a reality for us at Tryolabs after we collaborated with an NGO to improve upon how African lions are tracked, which helps with species preservation. We will go into more detail on that timely case, especially as wildlife conservation faces the immense challenges posed by devastating megafires threatening the lives of millions of animals in historic ways.

He uses this tick-tock ratcheting of tension and brief, bright flares of action to move the plot -- an extended, punctuated chase scene that starts early and continues through 400 pages. Verity and Eunice are the rabbit. The hounds are contract assassins, military contractors, tech-bros in over their heads. And Gibson, in his Gibsonian way, just keeps winding the wire around his explosive core, looping in gig-economy surveillance applications, outlaw makers, a barista, a time-traveling robot, a housewarming/launch party complete with helicopter assault.

Airbus will be showcasing their latest secure communications solutions at Intersec this year. Airbus's collaboration tool, Tactilon Agnet will be in the spotlight during the exhibition. The professional solution, which has both application and platform features is used for assisting, for instance, police officers or security personnel. The company will also be showcasing various projects around the use of Artificial Intelligence for mission-critical applications. The latter include facial, license plate, and object recognition, which run on the Tactilon Agnet mission-critical collaborative platform integrated with other systems through Application Programming Interface (APIs) such as Artificial Intelligence services. "Safety and Security is high on the agenda of the UAE Vision 2021, and there is a constant need for safety, security, and mission-critical solutions like the ones presented at this event," commented Andrew Forbes, Head of Middle East and North Africa region for Secure Land Communications at Airbus.

The value of building data-driven businesses with AI at their core is well known today, and business executives are rushing to implement the technology into their operations and gain a competitive advantage, but it's not as simple as creating a data lake and crafting AI models. A large number of AI companies attempting to implement more AI models or build AI-first businesses have experienced challenges. A December 2018 PwC survey found that only 4% of businesses have successfully implemented AI. That's why today the World Economic Forum released the AI toolkit for Boards of Directors. The AI toolkit for Boards of Directors is being released ahead of the annual WEF meeting in Davos, Switzerland where the toolkit will be formally debuted next week.

I've been talking in recent posts about how our typical methods of testing AI systems are inadequate and potentially unsafe. In particular, I've complained that all of the headline-grabbing papers so far only do controlled experiments, so we don't how the AI systems will perform on real patients. Today I am going to highlight a piece of work that has not received much attention, but actually went "all the way" and tested an AI system in clinical practice, assessing clinical outcomes. They did an actual clinical trial! Big news … so why haven't you heard about it?

Today's Daily AI Roundup covers the latest Artificial Intelligence announcements on AI capabilities, AI mobility products, Robotic Service, Technology from AnalySwift, Blue Prism, Microsoft, Wego, OneLogin and Extreme Reach. An innovation that helps speed the design of fishing rods, skis and cell phone electronics soon will help NASA do its work in space. AnalySwift LLC, a Purdue University-affiliated commercial software provider, has received a $125,000 Small Business Technology Transfer (STTR) grant from NASA. Blue Prism, a global leader in Robotic Process Automation (RPA), announces an expanded technical partnership with IBM. The collaboration integrates three core capabilities of IBM Cloud Pak for Automation, which includes Workflow, Capture and Decisions, with Blue Prism's Digital Workforce.

Today's Daily AI Roundup covers the latest Artificial Intelligence announcements on AI capabilities, AI mobility products, Robotic Service, Technology from AnalySwift, Blue Prism, Microsoft, Wego, OneLogin and Extreme Reach. An innovation that helps speed the design of fishing rods, skis and cell phone electronics soon will help NASA do its work in space. AnalySwift LLC, a Purdue University-affiliated commercial software provider, has received a $125,000 Small Business Technology Transfer (STTR) grant from NASA. Blue Prism, a global leader in Robotic Process Automation (RPA), announces an expanded technical partnership with IBM. The collaboration integrates three core capabilities of IBM Cloud Pak for Automation, which includes Workflow, Capture and Decisions, with Blue Prism's Digital Workforce.

Will the proliferation of AI and machine learning reinforce the worldwide digital divide? It's one of the questions the Global Talent Competitiveness Index (GTCI) and Global Cities Talent Competitiveness Index (GCTCI) seek to answer by benchmarking the ability of countries and cities to compete for talent. An answer has historically proven elusive, but the 7th annual reports published by Insead, Adecco Group, and Google suggest it might instead provide "significant" opportunities despite the fact that AI skills are "scarce" and "unequally distributed" across nations. "AI is changing many facets of business and society and, if properly used and governed, has potential to foster sustainable development," said Katell Le Goulven, executive director of the Insead Hoffmann Global Institute for Business and Society. "The GTCI report argues that with multi-stakeholder cooperation the technology could help achieve some of the SDGs [the United Nations' Sustainable Development Goals] such as those related to health (via personalized remote diagnosis and big data analysis to track and reduce endemic disease). But it also points to the imperative of closing the global digital skills gap to harness the potential of AI for good."

How to assess the potential of liking a city or a neighborhood before ever having been there. The concept of urban quality has until now pertained to global city ranking, where cities are evaluated under a grid of given parameters, or either to empirical and sociological approaches, often constrained by the amount of available information. Using state of the art machine learning techniques and thousands of geotagged satellite and perspective images from diverse urban cultures, this research characterizes personal preference in urban spaces and predicts a spectrum of unknown likeable places for a specific observer. Unlike most urban perception studies, our intention is not by any means to provide an objective measure of urban quality, but rather to portray personal views of the city or Cities of Indexes.