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The U.N. Warns That AI Can Pose A Threat To Human Rights

NPR Technology

The United Nations High Commissioner for Human Rights Michelle Bachelet speaks at a climate event in Madrid in 2019. A recent report of hers warns of the threats that AI can pose to human rights. The United Nations High Commissioner for Human Rights Michelle Bachelet speaks at a climate event in Madrid in 2019. A recent report of hers warns of the threats that AI can pose to human rights. The United Nations' human rights chief has called on member states to put a moratorium on the sale and use of artificial intelligence systems until the "negative, even catastrophic" risks they pose can be addressed. The remarks by U.N. High Commissioner for Human Rights Michelle Bachelet were in reference to a new report on the subject released in Geneva.


Microsoft chooses Spain for new Artificial Intelligence research centre

#artificialintelligence

Microsoft chooses Barcelona in Spain for new Artificial Intelligence research centre. The multinational giant Microsoft have announced that they are set to open a logistics hub in Barcelona. The hub will focus on the research and development of Artificial Intelligence models, and it will be the first of its kind in Spain. The hub will initially house 30 people but it is expected that over the next few years the number of staff will grow to over 100 employees. The Barcelona hub is expected to be one of eight research centres across the world that will be home to a Web Experiences Team.


How Valencia crushed Covid with AI

#artificialintelligence

When Covid-19 hit Spain last spring, the country quickly hit breaking point. In Madrid, doctors described an "avalanche" of patients as they practised "combat medicine" and emergency triage in intensive care units that were operating on a war-like footing. The first Covid-19 death was recorded on March 1. A month later, just under a thousand people were dying each day. Ambulances choked hospital approach roads and ice rinks were transformed into morgues.


Bridging Case-Based Reasoning, DL and XAI at the First Virtual ICCBR Conference (ICCBR2020)

Interactive AI Magazine

Ian Watson, Rosina O Weber, David Leake Case-based reasoning is reasoning from experience, solving new problems and interpreting new situations by retrieving and adapting prior cases. The Twenty-Eight International Conference on Case-Based Reasoning (ICCBR2020) was held from June 8-12, 2020, with program chairs Ian Watson and Rosina Weber. The conference was originally scheduled for Salamanca, Spain, a World Heritage site, under the auspices of local chair Juan Manuel Corchado and the University of Salamanca. Its theme, "CBR Across Bridges", reflected the goal of bringing together researchers and practitioners with relevant work across various AI areas. Before the conference, the pandemic struck, with tragic effects. The conference chairs resolved to continue with a safe alternative: the first virtual ICCBR. With researchers unable to travel, the virtual conference not only bridged AI areas but geographic ones: 141 conference attendees participated from 23 countries.


3 Low-Risk AI Application Areas For Smart Cities

#artificialintelligence

Certain systems powered by AI in smart cities may be expensive to incorporate or may need to comply with several regulations before implementation, making them'high-risk' AI applications. Using such risk criteria, here are some of the low-risk AI application areas for smart cities. Smart cities around the world are littered with advanced and interconnected technologies. The high level of automation and data flow allows such cities to optimize various public operations such as waste disposal and traffic regulation effectively. While the concept is still fairly new, several countries, like the US (New York, Santa Cruz), England (London, Manchester), and Spain (Madrid, Barcelona), include multiple highly automated and digitally interconnected cities today. Additionally, the smart city industry is expected to grow rapidly in the coming years due to its popularity and effectiveness in delivering the results expected from it.


Five9 Named a Leader in the Aragon Research Globe for Conversational AI

#artificialintelligence

WIRE)--Five9, Inc. (NASDAQ: FIVN), a leading provider of the intelligent cloud contact center, today announced that it has been positioned as a Leader in the first Aragon Research Globe for Conversational AI. The report notes strengths for Five9, including its focus on self-service, seamless handoff between bots and live agents, and App Marketplace for integrations and channels. Aragon Research analysts evaluated 22 conversational AI providers based on three dimensions: strategy, performance, and reach. The report notes that providers positioned as Leaders have comprehensive strategies that align with industry direction and market demand, and effectively perform against those strategies. Five9 is focusing on AI as one of its key innovation strategies.


Exclusive Group Lasso for Structured Variable Selection

arXiv.org Machine Learning

A structured variable selection problem is considered in which the covariates, divided into predefined groups, activate according to sparse patterns with few nonzero entries per group. Capitalizing on the concept of atomic norm, a composite norm can be properly designed to promote such exclusive group sparsity patterns. The resulting norm lends itself to efficient and flexible regularized optimization algorithms for support recovery, like the proximal algorithm. Moreover, an active set algorithm is proposed that builds the solution by successively including structure atoms into the estimated support. It is also shown that such an algorithm can be tailored to match more rigid structures than plain exclusive group sparsity. Asymptotic consistency analysis (with both the number of parameters as well as the number of groups growing with the observation size) establishes the effectiveness of the proposed solution in terms of signed support recovery under conventional assumptions.


Veridas face biometrics upgraded, voice biometrics deployed for pensioner verification

#artificialintelligence

Veridas has upgraded its facial recognition matching engine, resulting in improved performance in NIST FRVT 1:N benchmarking, and also announced a collaborative partnership, a customer win for the company's voice biometrics, and a national security certification. The latest NIST report shows Veridas' algorithm has improved its speed to match face biometrics from a gallery of 1.6 million faces within 322 milliseconds. Biometric accuracy improved most significantly in Veridas' results with a large gallery of 12 million identities, with the error rate falling from 15.41 percent to 7.53 percent. The company says its engine reached the top 15 among 144 facial identification engines in testing against a database of 12 million records. The certification is to Spain's National Security Scheme (Esquema Nacional de Seguridad), issued by Bureau Veritas Certification after Veridas passed an audit of the information systems used by its digital identity verification service.


Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis

arXiv.org Artificial Intelligence

The present paper aims at analyzing the topological content of the complex trajectories that weeder-autonomous robots follow in operation. We will prove that the topological descriptors of these trajectories are affected by the robot environment as well as by the robot state, with respect to maintenance operations. Topological Data Analysis will be used for extracting the trajectory descriptors, based on homology persistence. Then, appropriate metrics will be applied in order to compare that topological representation of the trajectories, for classifying them or for making efficient pattern recognition.


Spanish Team Builds Neural Network to Predict Small Molecule Characteristics

#artificialintelligence

August 11, 2021 A team of researchers in Barcelona have gathered bioactivity information for a million molecules using deep machine-learning computational models and a database of experimental results. Both the experimental results and the machine learning tool are available to the community at bioactivitysignatures.org. The work originated with the Structural Bioinformatics and Network Biology laboratory at the Institute for Research in Biomedicine (IRB) in Barcelona, Spain. In May 2020, the team published in Nature Biotechnology an integration of the major chemogenomics and drug databases including ChEMBL and DrugBank (DOI: 10.1038/s41587-020-0502-7). The result is Chemical Checker (CC), a database that includes processed, harmonized, and integrated bioactivity data on more than 800,000 small molecules.