The 27th European Conference on Artificial Intelligence (ECAI-2024) took place from 19-24 October. Held in Santiago de Compostela, Spain, the event featured a full programme of technical papers, keynote and invited talks, workshops and tutorials, and panels. We took a look at what participants got up to over the second half of the event. AI Regulation: The European Scenario shed light on policy shifts, and The Economic Impact of AI discussed the challenges and opportunities ahead. Huge thanks to everyone who came to my #ecai2024 presentation and made it such a rewarding experience with your insightful questions and discussions!

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What is The Next Big Thing in #AITechnology - Reality, Causality and Mentality? The Next Game is Reality and Causality. The main features involved in the Causal Revolution are disruptive scientific and technological changes, as in: A comprehensive, consistent and coherent causal model of the world for humans and computers. Real AI as Causal Machine Intelligence and Learning involves Causal Logic and Causal Models, Causal Learning, Causal Understanding and Causal Decision, Predictions and Action. Formal Symbolic Logic, as propositional, first/second/higher order predicate logic, as logical relations or part-whole relations, made the engine of #SymbolicAI, and largely blamed for two long "AI winters".

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How To Modeling Causality for Real #AI? Causality is represented mathematically via Structural Causal Models (SCMs), with two key elements, a graph and a set of equations. The golden standard causal graph, C E, R, is a Bidirected Cyclic Multi-Graph or Causal Loop-Graph Network (BCG/CGN), where entity-vertices E (circles, nodes, points) in a causal BCG represent variables and edges R (arrows, links, ties, arcs, lines) represent causation, direct or inverse. It is strongly connected containing a directed path from x to y (and from y to x) for every pair of vertices (x, y), while having circuits or loops, that is, arcs that directly connect nodes with themselves, and multiple arrows with the same source and target nodes, thus covering all possible directed graphs as a Directed Acyclic Graphs (DAG) or weighted directed graphs/networks. The set of equations is a Structural Equation Model (SEM), showing the causal connections and the details of the relationship. SEMs represent all possible interrelationships between or among variables.

The graph represents a network of 3,598 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 03 January 2022 at 21:46 UTC. The requested start date was Monday, 03 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 8-hour, 41-minute period from Tuesday, 28 December 2021 at 19:15 UTC to Saturday, 01 January 2022 at 03:56 UTC.

The graph represents a network of 4,017 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 06 December 2021 at 21:43 UTC. The requested start date was Monday, 06 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 2-day, 19-hour, 39-minute period from Friday, 03 December 2021 at 05:21 UTC to Monday, 06 December 2021 at 01:00 UTC.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Why Car makers to issue new marketing guidelines for #autonomousdriving tech? With automated driving features set to be unleashed on motorways next year, car manufacturers and industry have created a new set of guidelines to ensure the technology is marketed'accurately and responsibly' to drivers. Concerns around the safety implications and mis-selling of varying technologies and their capabilities has resulted in the Society of Motor Manufacturers and Traders, SMMT publishing guiding principles to ensure motorists know if and when they can use hands-free driving features. These new guidelines have been co-developed and agreed by experts within the Centre for Connected and #AutonomousVehicles and backed by road safety groups. The industry-led principles will ensure consumers receive'consistent and clear information' regarding the difference between'automated' and'assisted' driving features, with the latter requiring drivers to keep their hands on the wheel at all times.

The graph represents a network of 4,561 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 08 November 2021 at 20:43 UTC. The requested start date was Monday, 08 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 14-hour, 12-minute period from Wednesday, 03 November 2021 at 10:47 UTC to Monday, 08 November 2021 at 01:00 UTC.

The graph represents a network of 4,147 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 20:43 UTC. The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 3-hour, 27-minute period from Wednesday, 20 October 2021 at 20:33 UTC to Monday, 25 October 2021 at 00:00 UTC.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner BCI capture a user's brain activity and translate it into commands for an external application. What types of brain's signal BCI is acquiring? The system can use any brain's electrical signals measured by applications on the scalp, on the cortical surface, or in the cortex to control external application. The most researched signals are: Electrical and magnetic signals of brain's activity captured by the intracortical electrode array, electrocorticography (ECoG), electroencephalography (EEG), magnetoencephalography (MEG) techniques. Metabolic signals measuring blood flow in the brain acquired by functional magnetic resonance imaging (fMRI) or functional near-infrared imaging (fNIRS) techniques.

The graph represents a network of 4,360 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 April 2021 at 19:19 UTC. The requested start date was Monday, 26 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 3-hour, 39-minute period from Thursday, 22 April 2021 at 20:21 UTC to Monday, 26 April 2021 at 00:00 UTC.