​ In the global entertainment landscape, TV show and film production stretches far beyond Hollywood or Bollywood — it’s a worldwide phenomenon. However, while streaming platforms have broadened the reach of content, dubbing and translation technology still has plenty of room for growth. Deepdub acts… Read More »Deepdub’s AI Redefines Dubbing From Hollywood to Bollywood Kristen Yee – Archives Page 1 | NVIDIA Blog

​ Artificial Intelligence has extended its realms to almost all fields, and we find its applications in nearly all spheres of life. In several computational tasks, AI systems have even outperformed humans, marking significant strides in technological advancement. But AI systems, just like humans, also… Read More »Google DeepMind Researchers Uncover the Power of AI Diversity in Tackling Chess Challenges: Introducing AZ_db, the Next Leap in Computational Problem-Solving Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Transformers originally intended for language modeling have lately been investigated as a possible architecture for vision-related tasks. With state-of-the-art performance in applications including object identification, picture classification, and video classification, Vision Transformers have demonstrated excellent accuracy across a variety of visual recognition issues. The… Read More »Researchers from the University of Wisconsin–Madison Propose Eventful Transformers: A Cost-Effective Approach to Video Recognition with Minimal Loss in Accuracy Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Python startswith() method is indeed used to check whether a given string starts with a specified prefix. It returns True if the string starts with the specified prefix otherwise, it returns False. In this article, I will explain the Python string startswith() method and… Read More »Python String Startswith Malli Spark By {Examples}

​ Large Language Models have gathered a lot of appreciation for their super amazing capabilities. They are able to imitate humans and generate content just like a human would do. Pre-trained large language models (LLMs), such as ChatGPT and LLaMA, have demonstrated astounding aptitudes for… Read More »Will LLMs Replace Knowledge Graphs? Meta Researchers Propose ‘Head-to-Tail’: A New Benchmark to Measure the Factual Knowledge of Large Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have lately drawn a lot of interest because of their powerful text creation and comprehension abilities. These models have significant interactive capabilities and the potential to increase productivity as intelligent assistants by further aligning instructions with user intent. Native big… Read More »Alibaba Researchers Introduce the Qwen-VL Series: A Set of Large-Scale Vision-Language Models Designed to Perceive and Understand Both Text and Images Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Autonomous agents represent self-operating systems that exhibit varying degrees of independence. Recent research highlights the remarkable capacity of LLMs to imitate human intelligence, a feat achieved through the combination of extensive training datasets and a substantial array of model parameters. This research article provides… Read More »This AI Paper from GSAi China Presents a Comprehensive Study of LLM-based Autonomous Agents Janhavi Lande Artificial Intelligence Category – MarkTechPost

​Posted by Yujin Tang and Wenhao Yu, Research Scientists, Google Simple and effective interaction between human and quadrupedal robots paves the way towards creating intelligent and capable helper robots, forging a future where technology enhances our lives in ways beyond our imagination. Key to such… Read More »SayTap: Language to quadrupedal locomotion Google AI Google AI Blog

​ Dramatic gains in hardware performance have spawned generative AI, and a rich pipeline of ideas for future speedups will drive machine learning to new heights, Bill Dally, NVIDIA’s chief scientist and senior vice president of research, said today in a keynote. Dally described a… Read More »Wide Horizons: NVIDIA Keynote Points Way to Further AI Advances Rick Merritt – Archives Page 1 | NVIDIA Blog

​ The objective of the computer vision task known as semantic segmentation is to assign a class or object to each pixel in an image. A dense pixel-by-pixel segmentation map of a picture, with each pixel corresponding to a particular type or object, is what… Read More »Researchers From Google and Georgia Tech Introduce DiffSeg: A Straightforward Post-Processing AI Method for Creating Segmentation Masks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost