Large Language Models (LLMs) are increasingly used for various tasks with graph structures. Though LLMs can process graph information in a textual format, they overlook the rich vision modality, which is an intuitive way for humans to comprehend structural information and conduct general graph reasoning. The potential benefits and capabilities of representing graph structures as visual images (i.e., $\textit{visual graph}$) are still unexplored.

Traditional mental health support systems often generate responses based solely on the user's current emotion and situations, resulting in superficial interventions that fail to address deeper emotional needs. This study introduces a novel framework by integrating spiritual wisdom from the Bhagavad Gita with advanced large language model GPT-4o to enhance emotional well-being. We present the GITes (Gita Integrated Therapy for Emotional Support) dataset, which enhances the existing ExTES mental health dataset by including 10,729 spiritually guided responses generated by GPT-4o and evaluated by domain experts. We benchmark GITes against 12 state-of-the-art LLMs, including both mental health specific and general purpose models. To evaluate spiritual relevance in generated responses beyond what conventional n-gram based metrics capture, we propose a novel Spiritual Insight metric and automate assessment via an LLM as jury framework using chain-of-thought prompting. Integrating spiritual guidance into AI driven support enhances both NLP and spiritual metrics for the best performing LLM Phi3-Mini 3.2B Instruct, achieving improvements of 122.71% in ROUGE, 126.53% in METEOR, 8.15% in BERT score, 15.92% in Spiritual Insight, 18.61% in Sufficiency and 13.22% in Relevance compared to its zero-shot counterpart. While these results reflect substantial improvements across automated empathy and spirituality metrics, further validation in real world patient populations remains a necessary step. Our findings indicate a strong potential for AI systems enriched with spiritual guidance to enhance user satisfaction and perceived support outcomes. The code and dataset will be publicly available to advance further research in this emerging area.

Large Language Models (LLMs) are increasingly used for various tasks with graph structures. Though LLMs can process graph information in a textual format, they overlook the rich vision modality, which is an intuitive way for humans to comprehend structural information and conduct general graph reasoning. The potential benefits and capabilities of representing graph structures as visual images (i.e., \textit{visual graph}) are still unexplored. To fill the gap, we innovatively propose an end-to-end framework, called \textbf{G} raph to v \textbf{I} sual and \textbf{T} extual Integr \textbf{A} tion (GITA), which firstly incorporates visual graphs into general graph reasoning. Extensive experiments on the GVLQA dataset and five real-world datasets show that GITA outperforms mainstream LLMs in terms of general graph reasoning capabilities.

Google Translate has been prominent for language translation; however, limited work has been done in evaluating the quality of translation when compared to human experts. Sanskrit one of the oldest written languages in the world. In 2022, the Sanskrit language was added to the Google Translate engine. Sanskrit is known as the mother of languages such as Hindi and an ancient source of the Indo-European group of languages. Sanskrit is the original language for sacred Hindu texts such as the Bhagavad Gita. In this study, we present a framework that evaluates the Google Translate for Sanskrit using the Bhagavad Gita. We first publish a translation of the Bhagavad Gita in Sanskrit using Google Translate. Our framework then compares Google Translate version of Bhagavad Gita with expert translations using sentiment and semantic analysis via BERT-based language models. Our results indicate that in terms of sentiment and semantic analysis, there is low level of similarity in selected verses of Google Translate when compared to expert translations. In the qualitative evaluation, we find that Google translate is unsuitable for translation of certain Sanskrit words and phrases due to its poetic nature, contextual significance, metaphor and imagery. The mistranslations are not surprising since the Bhagavad Gita is known as a difficult text not only to translate, but also to interpret since it relies on contextual, philosophical and historical information. Our framework lays the foundation for automatic evaluation of other languages by Google Translate

A survey carried out by Air Transport IT Insights recently found that almost half of global airlines and 32% of airports are currently looking for partners to further develop their robotic involvement in the next three years. The latest developments see robots staffing airport check-in desks, carrying out security protocols, cleaning and even delivering food to passengers. The airport security segment currently has the highest number of robots according to the Airport robots market – growth, trends, Covid-19 impact, and forecasts 2021-2026 report by Mordor Intelligence. The next most common use of airport robotics is for cleaning, which has seen a rise in demand due to the Covid-19 pandemic. PHL Food and Shops have introduced a new member to their team Philadelphia International Airport, Gita.

Robots are assuming control over the world. Yet, they are turning out to be progressively common in pretty much every industry, from medical to defence and even education. At robotics organizations across the world, the coexisting of designing and science is delivering some genuinely inventive items -- things that do what people have regularly done, just better. Regardless of whether it's welding, educating, collecting vehicles, or doing a medical procedure, these developments are changing the manner in which we live and work. What they do: Anduril is devoted to building cutting-edge and programming items that current answers for the greatest security difficulties of America and its partners.

Consumer-focused personal robots have a spotty history. In 2017, Jibo was touted as the world's first social robot for the home but it ended up flopping soon after. Bosch took a stab a creating a rolling robot named Kuri in 2018 and months later the product was a dud. Now another company is taking a stab at it, launching a new yet familiar spin on personal service machines. Rather than keeping you company at home, gita (pronounced Jee-Tah) wants to help you go hands-free while you walk down the street, to the grocery store or to visit your neighbors.

Consumer-focused personal robots have a spotty history. In 2017, Jibo was touted as the world's first social robot for the home but it ended up flopping soon after. Bosch took a stab a creating a rolling robot named Kuri in 2018 and months later the product was a dud. Now another another company is taking a stab at it, launching a new yet familiar spin on personal service machines. Rather than keeping you company at home, gita (pronounced Jee-Tah) wants to help you go hands-free while you walk down the street, to the grocery store or to visit your neighbors.

A spherical, cargo robot that carries up to 40 pounds while trailing behind its owner can be yours for just $3,250. Vespa scooter maker has unveiled a redesign of its personal robot called Gita, which aims to free its human's hands so they can engage with others and enjoy activities. The ball-like machine stands about 26 inches and uses vision sensors to follow you -- and it will be available to the public next month. A spherical, cargo robot that carries up to 40 pounds while trailing behind its owner can be yours for just $3,250. Vespa scooter maker has unveiled a redesign of its personal robot called Gita, which aims to free its human's hands so they can engage with others and enjoy activities Instead of deciding to use an automobile or truck to transport to lug packages and other goods, Piaggio Fast Forward, the creating firm, wants to help people walk, run, pedal and skate through life with the assistance of a family of vehicles like Gita.

Vespa's first electric scooter will go on sale in Europe in October and in the US at the start of 2019. The silent, battery-powered scooter is an electric version of the much-loved retro Vespa which was first released back in 1946. The re-imagined all-electric scooter, known as the Vespa Elettrica, has a maximum range of 62 miles (100km) and takes around four hours to charge the battery. Manufacturer Piaggio Group has remained tight-lipped about the price of its new scooter, as well as its top speed. It has previously revealed the Vespa Elettrica will be limited to 19pmh (30km/h) when set in Eco driving mode.