Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-Language Models (VLMs) exhibit promising capabilities such as object recognition, common-sense reasoning, and contextual understanding-capabilities that align with the nuanced requirements of social robot navigation. However, it remains unclear whether VLMs can accurately understand complex social navigation scenes (e.g., inferring the spatial-temporal relations among agents and human intentions), which is essential for safe and socially compliant robot navigation. While some recent works have explored the use of VLMs in social robot navigation, no existing work systematically evaluates their ability to meet these necessary conditions. In this paper, we introduce the Social Navigation Scene Understanding Benchmark (SocialNav-SUB), a Visual Question Answering (VQA) dataset and benchmark designed to evaluate VLMs for scene understanding in real-world social robot navigation scenarios. SocialNav-SUB provides a unified framework for evaluating VLMs against human and rule-based baselines across VQA tasks requiring spatial, spatiotemporal, and social reasoning in social robot navigation. Through experiments with state-of-the-art VLMs, we find that while the best-performing VLM achieves an encouraging probability of agreeing with human answers, it still underperforms simpler rule-based approach and human consensus baselines, indicating critical gaps in social scene understanding of current VLMs. Our benchmark sets the stage for further research on foundation models for social robot navigation, offering a framework to explore how VLMs can be tailored to meet real-world social robot navigation needs. An overview of this paper along with the code and data can be found at https://larg.github.io/socialnav-sub .

Who would have thought that computers could recognize and learn patterns to decide for themselves? The same goes for the field of eCommerce. Nobody could have imagined it would be what it is now. Machine learning has so many apps in the industry that stretches far beyond analytics. But what is machine learning?

Artificial intelligence (AI) becomes more sophisticated every year, and its programs are revolutionizing the way that some industries operate. While some consider AI a potential competitor to human labor, AI also has improved product quality, healthcare accuracy, and marketing personalization. Let's take a look at three industries where the impact is readily apparent. The 4th industrial revolution is happening now. Referred to as "Industry 4.0," the manufacturing industry is experiencing a significant transformation made possible by advancements in (AI).

Some predictions say that by the end of this decade, more than 500 million people will have to completely forget their current skillset and start learning new ones if they want to stay employed. "Astounding" Artificial Intelligence statistics for 2020 show that this industry is on a constant rise, and everyone who implements it in their line of business, sees a tremendous profit. In the following, you'll be able to read what are the industries that will mostly be affected by it, so read on if you want to know more! At the moment, we see some Tesla and Google cars driving on their own. The AI software that is used now is still in the phase of testing, and some problems must be resolved.

Artificial intelligence (AI) becomes more sophisticated every year, and its programs are revolutionizing the way that some industries operate. While some consider AI a potential competitor to human labor, AI also has improved product quality, healthcare accuracy, and marketing personalization. Let's take a look at three industries where the impact is readily apparent. The 4th industrial revolution is happening now. Referred to as "Industry 4.0," the manufacturing industry is experiencing a significant transformation made possible by advancements in (AI).

With excess electronic devices in reach of children, they are subjected to an overload of AI, and they are completely unaware of this phenomenon. The need of the hour is that a new curriculum should be designed to sync them with AI and generate awareness about how it works. This shall further enable them to play their role in the usage and development of future technology. A 10 year old student defines artificial intelligence as: "It's kind of like a baby or a human brain because it has to learn, and it stores […] and uses that information to figure out things." Many people in the adult age group would find difficulty in phrasing a fitting definition of such a complicated tech niche.

In the past years, the need for data entry services significantly grew because of its significance as one of the foundations of data and analytics infrastructure. But with the continuous evolution of technology which leads to the disruption in the said fields, are data entry services still necessary in today's generation? Many people, particularly businessmen, have already see how it can make their lives easier, simplify processes, and improve our way of life. Others, however, remain resistant to the change brought by this smart technology. Their pessimism often boils down to their fear that it might replace manual and generic human jobs -- those that require more routine skill set -- and steal away their source of income.

Have you ever wondered what AI or Artificial Intelligence is all about? It's the deliberate reprogramming of the human race to think and to act according to controllers who want to have absolute control over every aspect of our abilities to think and to act other than the way they approve and program us to act! Is that happening already with some of the counter-culture crimes in order to steer humans into a'mental slave corral'? Following are excerpts taken from the source link below, which indicates certain aspects of where the NWO controllers are directing the future of humankind into becoming technological slaves to Artificial Intelligence, which most tech-addicted humans are not aware of, in my opinion. CG are the initials for Corey Goode, a person who worked with high tech and had extremely highly classified credentials, as I understand, which included interactions with extraterrestrial beings of higher intelligence than we, who are working with the U.S. tech companies and government agencies on ET projects.

Today we will be examining just some of the jobs that will not be affected by automation. In a world of constantly evolving artificial intelligence and robotic technology, many of our jobs are going to be given to machines. Automation creates the ability for more efficient and cost effective technologies. And as it turns out, nearly every job has the potential to be automated. And, these estimates are true if we only factor in our current technological ability.

Machine learning programs are being developed all around us. From self-driving cars to parking ticket robots, machine learning applications are popping up everywhere, but over the course of the next few years, there are some industries that will be affected more than others by this growth in machine learning techniques.