Category: Uncategorized

Politicians and other leaders don’t like to brag about their green credentials. But what if a little virtue is exactly what we’re missing? Read more

Los responsables de TI se enfrentan a muchos retos, pero pocos son más desalentadores que tratar con un subordinado directo que, de un modo u otro, se ha vuelto poco fiable o negligente. Según Orla Daly, CIO del proveedor de servicios de formación Skillsoft, existen varias razones por las que un director o ejecutivo puede… Read more

In an attempt to defend itself against a ban in the US, TikTok has pointed out that other Chinese companies could be collecting as much data as it does. Read more

Sales of new electric vehicles in Germany have plummeted, dropping nearly 37% in July 2024 from the same month one year ago. One of the main reasons traces back to mid-December 2023, when the German government gave less than one week’s notice before ending its subsidy program for electric vehicles. The program had given drivers… Read more

Collaborative Multi-Agent Reinforcement Learning (MARL) has emerged as a powerful approach in various domains, including traffic signal control, swarm robotics, and sensor networks. However, MARL faces significant challenges due to the complex interactions between agents, which introduce non-stationarity in the environment. This non-stationarity complicates the learning process and makes it difficult for agents to adapt… Read more

One of the main challenges in cellular automata (CA) systems, particularly in Conway’s Game of Life (Life), lies in predicting their emergent behavior without explicitly knowing the underlying grid topology. Life and other CA algorithms are computationally simple, yet they generate complex and unpredictable dynamics highly sensitive to initial conditions. This unpredictability complicates the development… Read more

Federated learning (FL) is a powerful ML paradigm that enables multiple data owners to train models without centralizing their data collaboratively. This approach is particularly valuable in domains where data privacy is critical, such as healthcare, finance, and the energy sector. The core of federated learning lies in training models on decentralized data stored on… Read more

Governments and humanitarian organizations need reliable data on building and infrastructure changes over time to manage urbanization, allocate resources, and respond to crises. However, many regions across the Global South need more access to timely and accurate data on buildings, making it difficult to track urban growth and infrastructure development. The absence of this data… Read more

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of linear equality constraints, an ILP aims to minimize or maximize a linear objective function, with the important condition that all variables must be integers. Even while ILP is an… Read more

Input space mode connectivity in deep neural networks builds upon research on excessive input invariance, blind spots, and connectivity between inputs yielding similar outputs. The phenomenon exists generally, even in untrained networks, as evidenced by empirical and theoretical findings. This research expands the scope of input space connectivity beyond out-of-distribution samples, considering all possible inputs.… Read more