Collaborating Authors

Principled machine learning


N1 - UKRI Rights Retention: For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising Funding: DS acknowledges support from the EPSRC Programme Grant TRANSNET (EP/R035342/1) and the Leverhulme trust (RPG-2018-092). YR acknowledges support by the EPSRC Horizon Digital Economy Research grant'Trusted Data Driven Products: EP/T022493/1 and grant'From Human Data to Personal Experience': EP/M02315X/1. N2 - We introduce the underlying concepts which give rise to some of the commonly used machine learning methods, excluding deep-learning machines and neural networks. We point to their advantages, limitations and potential use in various areas of photonics. The main methods covered include parametric and non-parametric regression and classification techniques, kernel-based methods and support vector machines, decision trees, probabilistic models, Bayesian graphs, mixture models, Gaussian processes, message passing methods and visual informatics.

AI to the metaverse: what tech will really transform banking?


In the long shadow of the 2007-08 global financial crisis, concurrent advances in three technologies – smartphones, 4G cellular networks and cloud computing – sparked an explosion of innovation in financial services. Their convergence enabled mobile banking: the sector's most significant development in generations. Just over a decade later, the industry is again "on the cusp of another inflexion point". He predicts that progress in tech including 5G, blockchain, artificial intelligence and quantum computing will trigger "another spurt" of innovation. "People talk about data being the new oil," Pattni says.

Artificial Intelligence and Project Management


Dear network, The pandemic itself didn’t speed up the digital adoption – the new enforced way of working did, employers needing to trust their employees to do their work from home instead of the office. Follow-up interviews from 2019 in PMINet, with AI Experts clearly indicates that adoption rate and interest of AI has increased and will impact the project manager role and organizations way of working. This change will eventually mean that new type of talents will be required. Take the opportunity to participate in PMI Sweden’s survey and share your view and experience of Artificial Intelligence and get a report on what other thinks of the matter. Are you an early adopter or a laggard? This is your chance to find out! Answering the survey will not take more than 5-10 minutes. The survey will be open to 30th June and 3 people will be awarded 1 hour advisory with our experts from the PMI Passion for Projects Congress: Fredrik Hofflander, Head of AI at AFRY and recognized Top 20 AI influencer 2021 Mattias Berglund, Head of Strategy, AI & Data Platforms Nexer Group Paolo Nardi, AI Change Angent, Sustainable Innovator and Project Manager Mobile Heights If you have any questions please send email to: Best regards PMI Sweden Chapter & Passion for Projects Survey & Analysis: Marly Nilsson Audit: Niklas Angmyr

Intel OpenVino Boost Semantic Segmentation prediction


A booster to predict ML model on production line. I'm here to share my experience in Deep Learning Computer Vision model deployment. As we all know that deep learning models are bulky and they take lazy time to load the model and infer incoming data. I will be just walking through the steps I followed. I trained UNet(with different backbone)and DeepLabV3 segmentation models on Open Images Dataset v6 Extension (I will explain thoroughly about downloading dataset and converting masks to trainable masks in other blog).

MPs launch investigation into self-driving vehicles


This will include assessing safety issues and the perception of safety, considering the relationship with other road users such as pedestrians, cyclists and users of conventional vehicles. The committee will analyse the progress of research and trials into autonomous and connected vehicles in the UK and overseas, and the likely uses of them for private motoring, public transport and commercial driving. Required changes to regulations such as the vehicles' legal status, insurance and authorisation processes will also be investigated. Fully driverless cars are not yet legally permitted in the UK, but autonomous features are being developed by car makers. The Highway Code will be updated on Friday to state that users of self-driving cars will be allowed to watch television programmes and films on built-in screens, but using a phone will remain illegal. The code, which contains advice and rules for people on Britain's roads, will also state that users will not be responsible for crashes, with insurance companies liable for claims.

Major League Baseball wants to deploy strike zone robo-umpires in 2024


Major League Baseball will "likely" introduce an Automated Strike Zone System starting in 2024, commissioner Rob Manfred told ESPN. The so-called robot umpires may call all balls and strikes then relay the information to a plate umpire, or be part of a replay review system that allows managers to challenge calls. "We have an automated strike zone system that works," Manfred said. The comments come in the wake of fan outrage over umpire's missed calls in recent games, including a brutal low strike error during a Detroit Tigers and Minnesota Twins tilt. Give me robo umps already," tweeted Grand Rapids ABC sports director Jamal Spencer. MLB has been experimenting with robo umps in minor league Atlantic Triple-A league since 2019.

La veille de la cybersécurité


At Collison 2022 in Toronto last week, former Google chief executive officer Eric Schmidt shared his thoughts on where artificial intelligence (AI) is headed, and what dangers it's facing in the path of its rapid development. He opened the discussion by highlighting the evolving focus of the AI landscape. "If you look at the biggest thing 10 years ago… [it] was imaging, and in particular the fact that vision through things like image net and others would become better on computers than for humans." Schmidt said there are now two major pursuits in the current AI cycle. One is to understand the underlying principles of multi-dimensional input and output mapping.

AI ethics should be hardcoded like security by design


Businesses need to think about ethics from ground zero when they begin conceptualising and developing artificial intelligence (AI) products. This will help ensure AI tools can be implemented responsibly and without bias. The same approach already is deemed essential to cybersecurity products, where a "security by design" development principle will drive the need to assess risks and hardcode security from the start, so piecemeal patchwork and costly retrofitting can be avoided at a later stage. This mindset now should be applied to the development of AI products, said Kathy Baxter, principal architect for's She noted that there were many lessons to be learned from the cybersecurity industry, which had evolved in the past decades since the first malware surfaced in the 1980s.

How Banks Can Shed Light on the 'Black Box' of AI Decision-Making


The use of artificial intelligence technology in banking has great potential, much of it still untapped. It's use in powering chatbots and digital assistants using natural language processing is of the best-known AI applications. AI can also be used as part of data analytics, helping banks and credit unions detect fraud more quickly on the one hand and create more personalized customer messaging and offers on the other. Significantly, AI can help make institutions -- bank and nonbank -- make faster lending decisions. However, there is downside to the use of artificial intelligence, the consequences of which loom ominously for banks and credit unions.

10 Best Machine Learning Software (2022) – Unite.AI


Machine learning algorithms can be pre-designed to specialize in a specific task, or they can allow the user to implement their own models specific to …