Spiking Neural Networks (SNNs) mimic biological brain activity, processing data efficiently through an event-driven design, wherein the neurons activate only when inputs exceed specific thresholds. Their ability to track voltage changes over time via membrane potential dynamics helps retain temporal information. This study combines SNNs with PyTorch's adaptable framework, snnTorch, to test their potential for image-based tasks. We introduce DRiVE, a vehicle detection model that uses spiking neuron dynamics to classify images, achieving 94.8% accuracy and a near-perfect 0.99 AUC score. These results highlight DRiVE's ability to distinguish vehicle classes effectively, challenging the notion that SNNs are limited to temporal data. As interest grows in energy-efficient neural models, DRiVE's success emphasizes the need to refine SNN optimization for visual tasks. This work encourages broader exploration of SNNs in scenarios where conventional networks struggle, particularly for real-world applications requiring both precision and efficiency.

At the core of our philosophy is the belief that the most powerful force in the world is the individual who has realized their power to do good. At Points of Light, we inspire, equip and connect nonprofits, businesses and individuals ready to apply their time, talent, voice and resources to solve society's greatest challenges.

When the pandemic started, she was working on Machine Learning (ML) projects, and realized that Artificial Intelligence(AI) and ML are not taught as a …

Although their presence is not as significant as projected by Sci-Fi movies from the 90s, robots are becoming essential in our daily lives with various applications in various industries and settings. For example, in the healthcare industry, robots are used for surgeries, dispensing medication, and assisting with rehabilitation. In the transportation industry, self-driving cars are beginning to become more widespread. Robots are also used in various other settings, such as agriculture, construction, and even household chores. As technology advances, we can expect more robots to be used in our daily lives.

Trade finance refers to products and financial instruments used to facilitate the export and import of trade and commerce--and, thereby, the smooth conduct of business. Some of the most popular instruments in trade finance are letters of credit (LC), bank guarantees (BG), documentary collections and remittances. Essentially, these instruments have one primary function: enabling parties to the trade to make a transaction and mitigate the associated risks related to supply and payment. Trade finance drives the global economy. This segment will only grow in the future, notwithstanding temporary setbacks like the Covid-19 pandemic or geopolitical conflicts.

It is not hard to see the academic trail that the World Economic Forum's developers and adherents follow to arrive where they are today in their ongoing quest to reduce mankind's intrinsic value as created by God. One can follow the philosophy behind Klaus Schwab's WEF by scrutinizing its website. For instance, in one of their Artificial Intelligence sections the WEF clearly states that AI is a "key driver in the Fourth Industrial Revolution." For a deeper look into WEF's AI initiative, their Centre for the Fourth Industrial Revolution is informative. In researching the contributors and supporters for the philosophy behind WEF, one such group listed is Clarivate academics from Bocconi University in Milan, Italy.

Artificial intelligence (AI) has changed how modern applications interact with us, and machine learning has driven the modernization of various processes and systems. We all know that artificial intelligence has strengthened its hold on how we interact with computers. Siri, Alexa, Cortana and Hey Google are now natural parts of our life, and references to them regularly appear in mainstream entertainment, such as TV shows and advertisements. Artificial intelligence and machine learning are also a natural part of our evolving ecosystem. People understand, for example, that the "social media algorithm"--the infamous algorithm that decides who sees what social media content--is driven by artificial intelligence.

FedEx is calling it quits on its cute but mostly ineffective "Roxo" last mile autonomous delivery robot. The move comes just weeks after Amazon ended field tests and gutted the team working on its Scout delivery robot. Sriram Krishnasamy, the package delivery giant's Chief Transformation Officer, reportedly broke the news to staff of Roxo's shattering last week as part of a broader internal organizational program called DRIVE, according to emails first obtained by Robotics 24/7. "Although robotics and automation are key pillars of our innovation strategy, Roxo did not meet necessary near-term value requirements for DRIVE," Krishnasamy reportedly wrote. "Although we are ending the research and development efforts, Roxo served a valuable purpose: to rapidly advance our understanding and use of robotic technology." FedEx did not immediately respond to Gizmodo's request for comment but told Robotics 24/7 it's shifting away from Roxo, in part, to focus on, "several nearer-term opportunities."

In this conversation with Brad Nickle, CEO at The Strickland Group, he talks about digital transformation and AI. Hear about data management, virtual interactions, automating processes, resource integration, and data security and control.

Meta Platforms Inc., the social media giant's parent company, announced plans last week to go the other way--decentralizing how it develops advanced AI and machine learning tools. In an online post Thursday, Meta's Chief Technology Officer Andrew Bosworth said the company's previous approach, centered around a handful of stand-alone R&D hubs, made it difficult to integrate new AI capabilities across the business. "In the new model we will distribute the ownership of these AI systems back to Meta's product groups," Mr. Bosworth said. "We believe that this will accelerate the adoption of important new technology across the company while allowing us to continue to push the envelope." The Morning Download delivers daily insights and news on business technology from the CIO Journal team.