A new project funded under the European Research and Development Fund (ERDF) will help foster innovation linked to Artificial Intelligence in Southern Spain. As La Vanguardia reported the Andalusia Tech Campus of International Excellence, formed by the universities of Seville and Malaga, has achieved the highest score possible for its Innovative Ecosystem with Artificial Intelligence for Andalusia 2025 project. This will enable them to receive the maximum amount of funding from the Feder program - a grand total of two million euros. Andalusia Tech initiative meets the priority objective of the operational program, namely reinforcement of research, technological development and innovation. The project thus aims to create an innovation ecosystem based on artificial intelligence.

It connects top AI experts, enterprises, government representatives, data scientists, technology leaders, startups, investors, researchers, academicians, and global AI innovators - to discuss the impact of AI on commercial applications and the revolutionary ways it can transform businesses and government functions.

Automated decision making comes of age.

On 11 April 2019, Daniel Fiott was invited by the EU's Political and Security Committee (PSC) to participate in a lunch debate on Artificial intelligence (AI). The event was part of the PSC's initiative to enhance dialogue with think tanks, NGOS and academia on key challenges for EU foreign, security and defence policy. The event brought together PSC Ambassadors, as well as representatives from the European Commission and the European External Action Service. Daniel joined experts from the Centre for the Study of Existential Risk (CSAR) at the University of Cambridge and Tilburg University, and he outlined recent AI developments and implications for the defence sector, with a particular focus on the EU and AI developments in Russia, China and the United States. The legal challenges and ethical dilemmas of AI were also discussed.

The conference was designed to not only demystify the application of AI in defence, but to also reflect on the responsible use of AI. Approximately 70 individuals from EU member state governments, EU institutions, industry and academia attended the event and the organisers had the pleasure of welcoming speakers from the Estonian Ministry of Defence, the European Commission, the European Defence Agency, the European Parliament, the EU Satellite Centre, the Finnish Ministry of Defence, NATO, the Political and Security Committee and industry and academia. Participants engaged in a stimulating debate about military interoperability, industrial sovereignty and ethics.

Hosted by the Finnish Permanent Representation to the EU, the conference welcomed high-level speakers from the European Defence Agency, European External Action Service, the Finnish Ministry of Defence, the German Federal Ministry of Foreign Affairs, the German Council on Foreign Relations, the Latvian Ministry of Defence and NATO. The conference allowed EU and NATO officials, government representatives, industry and think tankers to exchange views on how best the EU and NATO can understand the development of AI in the field of defence. Some 90 people attended the event. Speakers touched upon the ways in which the disruptive potential of AI could affect how the two organisations think about defence, and what room exists for closer cooperation between the EU and NATO in the future.

The land of art, literature and culture will now see the government authorities keeping a close eye on the lawbreakers. In a move that will empower the law enforcement authorities, the Kolkata Police is now expanding the footprint of the CCTV cameras AI-powered devices in crime detection. According to a noted news wire, Kolkata Police has already installed 3,000 closed-circuit cameras all across the city. Police Commissioner Anuj Sharma said, "We are expanding it. Recently, you have seen instances of crime detection by analysing the CCTV footage… With the installation of such cameras, catching those indulging in anti-social acts will become simpler."

BrainChip has been granted United States Patent number 10,410,117 for the dynamic neural networks which are a valuable feature of its AI processing chip Akida, the company announced. During a learning process, values are generated and stored in the synaptic registers of the AI device to generate a training model. Training models are themselves stored in the dynamic neural function library of the AI device, and the function library can then be used to train another device. Through neural processing and memory access, Akida reduces computing resources required of the host CPU and cuts back on costs of running hyperscale data centers. Available as a licensable IP technology, it can be integrated into ASIC devices and will be available as an integrated SoC, and can be used for surveillance, advanced driver assistance systems (ADAS), autonomous vehicles (AV), vision guided robotics, drones, augmented and virtual reality (AR/VR), acoustic analysis, and Industrial Internet-of-Things (IoT).

A few months ago, I built a recommender system that employed topic modelling to display relevant tasks to employees. The algorithm used was Latent Dirichlet Allocation (LDA), a generative model that has been around since the early 2000s¹. Of course, I didn't rewrite LDA from scratch but used the implementation in Python's scikit-learn. But it started me thinking about the sequence of research that lead to the creation of the LDA model. The problem with such libraries is that it's all too easy to include a few lines in your code and just move on, so I dug out my old machine learning books with the goal of knowing enough to be able to explain LDA in all its gory probabilistic detail.

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