Collaborating Authors


Qualcomm Pushing the boundaries of AI research


Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, this is just the start of the AI revolution. The field of AI, especially deep learning, is still in its infancy with tremendous opportunity for exploration and improvement. For instance, deep neural networks of today are rapidly growing in size and use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget.

A webinar about Machine Learning with JavaScript with Jason Mayes


In this 2-hour webinar, we are going to discuss about Machine Learning and TensorFlow.JS, the popular Machine Learning framework by Google and the magic it brings to web applications in the browser and Node.JS. There will be a Q&A session and a live coding demonstration with TensorFlow.JS. Date: March 1st 2021 Time: 19.00 - 21.00 Eastern European Standard Time, Athens Greece (GMT 2) Google Meet Link:

VoiceHub provides voice assistants with no programming needed


It is quite a complex process to create voice user interfaces that are capable of natural language understanding and require no programming experience. Now a vision and voice technologies platform has released what could be the solution to the problem. This week Santa Clara, CA-based Sensory announced the official release of VoiceHub. VoiceHub is a free online portal for creating and designing accurate voice user interfaces. Its technologies are used in consumer electronics applications including mobile phones, automotive, wearables, toys, IoT and home electronics.

Webinar on "Macro dynamics predictions in COVID-19 crisis, explained by micro intentions"


On 3 June 2020, the VUB AI Experience Centre published a webinar on the topic of the role of AI in the COVID-19 crisis, focused on macro dynamics predictions in the COVID-19 crisis, explained by micro intentions. This webinar focused on AI reinforcement learning techniques and predictive modelling, decision making in defining prevention, and exit strategies. It was led by Prof. dr. Ann Nowé from the Artificial Intelligence Lab together with Prof. dr Kurt Barbé, member of the Digital Mathematics research group and the cross-faculty Artificial Intelligence Lab, and Prof. dr Tom Lenaerts who is a member of the VUB Artificial Intelligence Lab and the Machine Learning Group of the ULB. The AI Experience Centre is a joint project of 4 VUB research groups: the Artificial Intelligence Lab, Brubotics, SMIT and ETRO, and is located on the VUB campus Etterbeek.

CLAIRE COVID-19 taskforce webinar


As part of its second anniversary activities, CLAIRE hosted a webinar presenting the progress and future plans of its COVID-19 taskforce. Entitled, "CLAIRE taskforce for AI and COVID-19: results and next steps", the webinar was conducted on 15 July 2020 with a focus on the three-month research outcomes in the areas of AI for bioinformatics, drug repurposing, and medical image analysis. "When the pandemic hit Europe, we immediately thought that we have to do something to support the European government and health institutions, with CLAIRE being the biggest community of AI experts in the world," said Emanuela Girardi, co-coordinator of CLAIRE COVID-19 taskforce in her introductory note during the event. Following the launch of CLAIRE's COVID-19 taskforce on 20 March 2020, more than 150 AI researchers throughout Europe collected and curated resources which aimed to leverage AI techniques in the context of COVID-19 and to support the development of new projects in several application areas. Under this taskforce, seven major groups were formed working on mobility and monitoring data analysis; bioinformatics; medical image analysis; social dynamics and networks monitoring; robotics; and scheduling & resource management.

Governments And Artificial Intelligence, Policy And Investment


Over the last couple of years, it has become increasingly clear that many democratic governments have been taking a closer look at artificial intelligence (AI), both from a policy standpoint and as something to help their economies of the future. I specify democratic because of two reasons. First, it's clear that China recognized both the economic power and the population control capabilities of AI much earlier. Democracies have many open issues and can move more slowly, and policy is discussed more widely by the population. Two pieces of news this week have shown the increasing focus on AI in the United States and the European Union (EU).

Bringing AI, data science and DevOps together to produce practical, business-focused outcomes


Organisations of all sizes are looking for new ways to innovate, but in ways that won't break the bank. Proprietary solutions can offer some answers, but in uncertain times, vendor lock-in is undesirable and expensive. To remain agile, open-source solutions are offering agnostic and low-cost ways to continue and even accelerate the rate of digitisation across the APAC and Australasia. For enterprise-grade open-source solutions that are making a practical difference today, many turn to SUSE as the perfect partner that offers business-centricity with an open-source ethos. The company behind a global community of thousands of developers is offering a series of webinars that show companies and businesses of all sizes and industries just how business outcomes can be improved using technology.

Webinar: Artificial Intelligence, Firm Growth and Industry Concentration


Finance experts will discuss findings in a new paper "Artificial Intelligence, Firm Growth, and Industry Concentration" at 9 a.m. Wednesday, Dec. 2 in a webinar hosted by the Center for Financial Policy at the University of Maryland's Robert H. Smith School of Business. Co-author of the study, assistant professor of finance Tania Babina at Columbia University, will describe findings including the positive effects of artificial intelligence (AI) on firms, in the discussion moderated by Russell Wermers, Dean's Chair in Finance and Center for Financial Policy director at Maryland Smith. The paper shows that firms investing in AI experience faster growth in both sales and employment, which translates into analogous growth at the industry level. The positive effects are concentrated among the ex-ante largest firms, leading to a positive correlation between AI investments and an increase in industry concentration.

Why You Should Learn Ethics of AI With This Free Online Course


Besides being known as the happiest country in the world, Finland is a technology leader, ahead of China and the US. Finland is making good on its tech legacy, as the University of Helsinki, the Finnish Centre for Artificial Intelligence FCAI, and the City of Helsinki are collaborating to launch a free webinar on the Ethics of AI, followed by a full Ethics of AI course. The ethics of AI is a wildly broad and complex topic, since AI's implications are broad and complex. No industry has gone untouched by AI. In other words, he predicts that AI could cause a billion people to lose their jobs within a year of that article -- nine months from now, as of writing.

How AI and Machine Learning Helps Improve Insurance Pricing


Insurance pricing is a never-ending battle. With the advent of comparative raters in the P&C insurance market, prospects can compare prices on many companies instantly, and, not surprisingly, they usually choose the lowest offer. Inaccurate pricing is costly for insurance companies: it improves competitors' customer base, reduces customer retention, and attracts risky customers. This is why actuaries spend hours on fine-tuning pricing models. But how do actuaries actually create an insurance premium?