Over the years, Fox's animated comedy The Simpsons has successfully predicted several real-life developments. From Donald Trump becoming the United States President to Disney purchasing 20th Century Fox, the show's writers have been correct more than a few times. Though not all their predictions have received the attention they deserve. Back in Season 5, in the episode entitled "Homer Loves Flanders," the frenemy neighbors become better acquainted with each other. At one point, Ned takes his new best friend to a baseball game.
On 4 June 2020, the Flemish Knowledge Centre Data & Society (KCDS) organised a consultation to gather feedback on the European Commission's white paper on artificial intelligence. In this article, you can read the key elements of the feedback. The KCDS was founded in 2019 and focuses on the interplay between data, AI and society. It enables socially responsible, ethical, and legally appropriate implementations of AI in Flanders (Belgium). It aims to enable Flemish companies, policymakers, regulators, and citizens to achieve the greatest social and/or economic benefits of AI.
There's a solution for tourists who are reluctant to hand over their expensive camera phone to a random passer-by to snap a photo. A new computer model promises to make a selfie look like it isn't one. The technique borrows from the growing field of artificial intelligence that can modify, or'repose' photos in a realistic way, says Liqian Ma of KU Leuven, Belgium. Reposing uses two or more source images – one in the original position and another in the reposed position – to train its algorithms.
LEUVEN, Belgium, and SANTA CLARA, Calif., July 9, 2020 – Imec, a research and innovation hub in nanoelectronics and digital technologies, and GLOBALFOUNDRIES (GF), a specialty foundry, announced a hardware demonstration of a new artificial intelligence chip. Based on imec's Analog in Memory Computing (AiMC) architecture utilizing GF's 22FDX solution, the new chip is optimized to perform deep neural network calculations on in-memory computing hardware in the analog domain. Achieving record-high energy efficiency up to 2,900 TOPS/W, the accelerator is a key enabler for inference-on-the-edge for low-power devices. The privacy, security and latency benefits of this new technology will have an impact on AI applications in a wide range of edge devices, from smart speakers to self-driving vehicles. Since the early days of the digital computer age, the processor has been separated from the memory.
Antwerp University Hospital (UZA) in Belgium is using an AI-powered robot to greet patients, check temperatures, and ensure masks are worn correctly. By removing initial human-to-human contact, the multilingual robot makes life a little easier and safer for hospital staff. The robot works pretty intuitively. As patients enter the hospital, they collect a barcode and feed it into the robot. This then uses temperature measurement cameras and ultrasonic sensors to check that the patient is safe.
Moritz Lipp is a Ph.D. candidate at Graz University of Technology, Flanders, Austria. Michael Schwarz is a postdoctoral researcher at Graz University of Technology, Flanders, Austria. Daniel Gruss is an assistant professor at Graz University of Technology, Flanders, Austria. Thomas Prescher is a chief architect at Cyberus Technology GmbH, Dresden, Germany. Werner Haas is the Chief Technology Officer at Cyberus Technology GmbH, Dresden, Germany.
Despite its commitment to'trustworthy' artificial intelligence, the EU is bankrolling AI projects that are questionable, write Fieke Jansen and Daniel Leufer. Fieke Jansen is a PhD candidate at the Data Justice Lab and Mozilla Foundation Fellow 2019-2020. Daniel Leufer, PhD, is a Mozilla Foundation Fellow 2019-2020 hosted by Access Now and member of the Working Group on Philosophy of Technology at KU Leuven, Belgium. Discussions on the negative impact of Artificial Intelligence in society include horror stories plucked from either China's high-tech surveillance state and its use of the controversial social credit system, or from the US and its use of recidivism algorithms and predictive policing. Typically, Europe is excluded from these stories, due to the perception that EU citizens are protected from such AI-fueled nightmares through the legal protection offered by the GDPR, or because there is simply no horror-inducing AI deployed across the continent.
We investigate heterogenous employment effects of Flemish training programmes. Based on administrative individual data, we analyse programme effects at various aggregation levels using Modified Causal Forests (MCF), a causal machine learning estimator for multiple programmes. While all programmes have positive effects after the lock-in period, we find substantial heterogeneity across programmes and types of unemployed. Simulations show that assigning unemployed to programmes that maximise individual gains as identified in our estimation can considerably improve effectiveness. Simplified rules, such as one giving priority to unemployed with low employability, mostly recent migrants, lead to about half of the gains obtained by more sophisticated rules.
BenevolentAI, founded in 2013, creates and applies AI technologies to transform the way medicines are discovered and developed. BenevolentAI seeks to improve patients' lives by applying technology designed to generate better data decision making and in doing so decrease drug discovery failure rates, lower drug development costs and increase the speed at which medicines are generated. The company has developed the Benevolent Platform - a discovery platform used by BenevolentAI scientists to find new ways to treat disease and personalise drugs for patients. BenevolentAI is HQ'd in London with a research facility in Cambridge (UK) and further offices in New York and Antwerp. BenevolentAI has active R&D drug programmes from discovery to Phase IIb in disease areas such as ALS, Atopic dermatitis, Ulcerative Colitis and Sarcopenia.