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Video game 'FIFA 22' gets more realism thanks to 22-player motion capture matches

USATODAY - Tech Top Stories

To bring more realism to "FIFA 22," EA Sports went to extremes on the pitch – and brought inclusivity to its announcing team. The video game publisher had 22 players put on Xsens motion capture suits and then play competitive matches in Spain. All that data – more than 8.7 million frames of advanced match capture, EA Sports says – will be used to create real-time soccer gameplay animations as players mash controller buttons. And the game maker also is bringing its first female announcer to the game: Alex Scott, who played for the English national team and Arsenal of the Women's Super League. "This is a big moment for FIFA, for football and women and girls across the world," she said on Twitter and Instagram.

The Ethics of AI in Europe


Recently we have seen in the media how artificial intelligence (AI) can help in the pandemic with many examples in the prediction and monitoring of it. We have also seen how it can contribute to improving the lives of visually impaired people, with applications such as Microsoft's SeeingAI or how it can also be a great ally for deaf people. AI has also been used to prevent bullying, as the startup WatsomApp does in Spain, and we find many examples where it is used in medical applications to help more efficient detection of tumors, or how it can contribute to the development of the autonomous car or sustainable agriculture, combined with IoT. In short, AI has become an essential technology in a multitude of industries, such as healthcare, banking, manufacturing or commerce, among others, being a great ally for people. The estimated global spending on AI is expected to exceed $50 billion this year and reach $110 billion by 2024 according to IDC.

AI and computer vision remove the need for cell biopsy in testing embryos


Despite continuing controversies over its value in improving birth rates in IVF, testing embryos for their chromosomal content has become routine in many fertility clinics. Embryos with a normal complement of chromosomes (known as "euploid") are known to have a good chance of implanting in the uterus to become a pregnancy, while abnormal embryos (aneuploid) have no chance. Testing embryos for aneuploidy (known as PGT-A) has so far required a sample single cell or several cells taken from the embryo by biopsy, and this too has raised fears over safety such that a search for non-invasive methods has arisen in recent years. Now, a new study suggests that euploid embryos can be visually distinguished from aneuploid according to artificial intelligence references of cell activity as seen by time-lapse imaging--and thus without the need for cell biopsy. The results of the study will be presented today at the online annual meeting of ESHRE by Ms Lorena Bori from IVIRMA in Valencia, Spain, on behalf a joint research team from IVIRMA Valencia and AIVF, Israel, co-directed by Dr. Marcos Meseguer from Valencia and Dr. Daniella Gilboa from Tel-Aviv.

MWC 2021: Spain looking to become leader in AI, says digital minister


Spain is "lagging behind" when it comes to the general population's digital skills, especially women, the country's Secretary of State for Digitalisation and Artificial Intelligence told Euronews Next. Speaking on Tuesday at the Mobile World Congress 2021 in Barcelona, Carme Artigas said the Spanish government was tackling the country's skills shortage head on. "Women are still underrepresented in the population that has technological abilities," the minister said. "The jobs of the future will require not only basic skills, but also specialised skills, advanced skills". Artigas said digitisation was also lacking for small and medium-sized businesses but that Spain is "absolutely focused" on transforming its economic model, something she said, "needs to be tackled urgently".

Senior Data Engineer [Core Team] (M/W)


Launched in 2013, ManoMano is the European leader specialised in DIY, home improvement and gardening online. ManoMano brings together the largest offer of DIY & gardening online products. With more than 3600 seller partners and 10 million products, ManoMano brings together the largest offer across 6 countries: France, Belgium, Spain, Italy, Germany, United Kingdom. We currently are 650 Manas & Manos, including a quarter of international talents and 24 nationalities, working in our 4 offices (Paris x2, Bordeaux and Barcelona). People are at the heart of ManoMano's culture around our 3 core values: boldness, ingeniosity and care.

Machine learning reduces microscope data processing time from months to just seconds


Ever since the world's first ever microscope was invented in 1590 by Hans and Zacharias Janssen--a Dutch father and son--our curiosity for what goes on at the tiniest scales has led to development of increasingly powerful devices. Fast forward to 2021, we not only have optical microscopy methods that allow us to see tiny particles in higher resolution than ever before, we also have non-optical techniques, such as scanning force microscopes, with which researchers can construct detailed maps of a range of physical and chemical properties. Institute for Bioengineering of Catalonia (IBEC)'s Nanoscale Bioelectrical Characterization group, led by UB Professor Gabriel Gomila, in collaboration with members of the IBEC's Nanoscopy for Nanomedicine group, have been analyzing cells using a special type of microscopy called Scanning Dielectric Force Volume Microscopy, an advanced technique developed in recent years with which they can create maps of an electrical physical property called the dielectric constant. Each of the biomolecules that make up cells--that is, lipids, proteins and nucleic acids--has a different dielectric constant, so a map of this property is basically a map of cell composition. The technique that they developed has an advantage over the current gold standard optical method, which involves applying a fluorescent dye that can disrupt the cell being studied.

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing Artificial Intelligence

In cross-lingual Abstract Meaning Representation (AMR) parsing, researchers develop models that project sentences from various languages onto their AMRs to capture their essential semantic structures: given a sentence in any language, we aim to capture its core semantic content through concepts connected by manifold types of semantic relations. Methods typically leverage large silver training data to learn a single model that is able to project non-English sentences to AMRs. However, we find that a simple baseline tends to be over-looked: translating the sentences to English and projecting their AMR with a monolingual AMR parser (translate+parse,T+P). In this paper, we revisit this simple two-step base-line, and enhance it with a strong NMT system and a strong AMR parser. Our experiments show that T+P outperforms a recent state-of-the-art system across all tested languages: German, Italian, Spanish and Mandarin with +14.6, +12.6, +14.3 and +16.0 Smatch points.

Periodic-GP: Learning Periodic World with Gaussian Process Bandits Artificial Intelligence

We consider the sequential decision optimization on the periodic environment, that occurs in a wide variety of real-world applications when the data involves seasonality, such as the daily demand of drivers in ride-sharing and dynamic traffic patterns in transportation. In this work, we focus on learning the stochastic periodic world by leveraging this seasonal law. To deal with the general action space, we use the bandit based on Gaussian process (GP) as the base model due to its flexibility and generality, and propose the Periodic-GP method with a temporal periodic kernel based on the upper confidence bound. Theoretically, we provide a new regret bound of the proposed method, by explicitly characterizing the periodic kernel in the periodic stationary model. Empirically, the proposed algorithm significantly outperforms the existing methods in both synthetic data experiments and a real data application on Madrid traffic pollution.

CataloniaBio & HealthTech


Abzu, a startup founded simultaneously in Barcelona and Copenhagen in 2018, has closed a €6-million round of investment. Participants included international venture capital funds from the Nordic countries like Seed Capital, Inventure and PreSeed Ventures, as well as several business angels. Abzu offers an artificial intelligence platform that allows users to make precise predictions and find mathematical solutions to complex problems, which facilitates decision-making for researchers and speeds up clinical studies and drug development. Elizabeth Gil-Roldán, head of Business Development at Abzu in Barcelona, explains that this funding will go towards "strengthening the development team for the technology product, located mainly in Barcelona, and reinforcing its commercial strategy and academic collaborations." The company currently has 18 employees and expects to have a staff of 30 by the end of 2021.

Accelerating the Impact of Innovation: Spain-Korea in Artificial Intelligence


CDTI and the Spanish Embassy in Republic of Korea are organizing for June 18th (9 am Central European time; 4 pm Korean time) an event to show Spain s scientific & technological capacities on Artificial Intelligence applied to health, transport/mobility and industrial processes. On this occasion, the event will count on the support of the Korean agency IITP, in charge of the bilateral call "Korea Spain Innovating Program" or KRESIP in the scope of information & communication technologies, with artificial intelligence (AI) as a priority challenge in 2021. The purpose of the event is to showcase technology areas of high potential in which Spanish entities are carrying out cutting edge research in AI, with the intent of strengthening joint R&D collaboration with Republic of Korea, a country that boasts of an expenditure of 4.55% to GDP in R&D, with a heavy reliance on the technologies of information & communications, and specially artificial intelligence as a key enabling technology.