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Google launches its ‘most capable’ multimodal AI model in three sizes

With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU.Google has unveiled its advanced AI model Gemini. It is optimized in three sizes - Ultra, Pro, and Nano and is now available in Bard and Pixel phones to users worldwide. Gemini is the result of large-scale collaborative efforts by teams across Google, the company said in a statement.It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across and combine different types of…

Google announces Gemini, its new multimodal AI model now available in Bard

Today Google unveiled Gemini, which is its new, "largest and most capable" AI model. It's built from the beginning to be multimodal, and so it can generalize and understand different types of information - text, images, audio, video, and code - at the same time. This lets it better parse nuances and makes it better at answering questions relating to complicated topics. Thus, it's especially good at explaining reasoning in complex subjects like math and physics. https://www.youtube.com/watch?v=K4pX1VAxaAI It comes in…

Google Gemini vs OpenAI’s GPT-4: Can the new multimodal AI model take on ChatGPT maker?

Google has finally taken the covers off its project Gemini, after almost a year-long secrecy, and the world now gets to take a look at its capabilities. Google Gemini is the company's largest AI model and is a multimodal AI system capable of producing outputs in images, video, and audio formats in its most powerful version. The AI model will be competing with OpenAI's GPT-4 directly, and the first shots have already been fired by Google. At its launch, Google, without really looking to do a comparison, claimed that its…

ID vs. Multimodal Recommender System

1. The Development of Transferable Recommender Systems The core goal of recommender systems is to predict the most likely next interaction by modeling the user's historical behavior. This goal is particularly challenging when there is limited user interaction history, which has long plagued the development of recommender systems, known as the cold-start problem. In cold-start scenarios, such as in newly established recommendation platforms with limited interaction sequences for new users, the early stages of model…

Multimodal 3D Brain Tumor Segmentation with Azure ML and MONAI | by Andreas Kopp | Mar, 2023

Running the medical imaging framework at scale on an enterprise ML platformBy Harmke Alkemade and Andreas Kopp3D Brain Tumor Segmentation (Image via Shutterstock under license to Andreas Kopp)We like to thank Brad Genereaux, Prerna Dogra, Kristopher Kersten, Ahmed Harouni, and Wenqi Li from NVIDIA and the MONAI team for their active support in the development of this asset.Since December 2021, we have released several examples to support Medical Imaging with Azure Machine Learning, and the response we received was…

OpenAI just released GPT-4, a multi-modal generative AI

Hot on the heels of Google's Workspace AI announcement Tuesday, and ahead of Thursday's Microsoft Future of Work event, OpenAI has released the latest iteration of its generative pre-trained transformer system, GPT-4. Whereas the current generation GPT-3.5, which powers OpenAI's wildly popular ChatGPT conversational bot, can only read and respond with text, the new and improved GPT-4 will be able to generate text on input images as well. "While less capable than humans in many real-world scenarios," the OpenAI team wrote…

Multimodal Chain of Thoughts: Solving Problems in a Multimodal World | by Salvatore Raieli | Mar, 2023

NLP | MULTIMODALITY | CHAIN OF THOUGHTS |The world is not only text: How to extend the chain of thoughts to image and text?photo by Giulio Magnifico on UnsplashSometimes getting to the answer is not easy, especially when the question requires reasoning. A model does not always have the answer hidden in its parameters but can get there with the right context and approach. What is the chain of thoughts? Why does this approach make it possible to solve multi-step reasoning tasks? Can it be extended to multimodal problems…

AISATS Selected to Build Multi-Modal Cargo Hub at Upcoming Noida Airport

Last Updated: February 13, 2023, 18:34 ISTNoida International Airport Construction in Full Swing. (Photo: IANS)Multi-Modal Cargo Hub (MMCH) will be a first of its kind in India, comprising Integrated Cargo Terminal (ICT) and Integrated Warehousing & Logistics Zone (IWLZ)Air India SATS Airport Services Private Limited (AISATS), India’s leading airport services company has been selected by Yamuna International Airport Private Limited (YIAPL) to Design, Build, Finance and Operate an Integrated Multi-Modal Cargo Hub…

Now All Eyes on India’s First High Speed Multimodal Ahmedabad-Dholera Corridor

Last Updated: February 15, 2023, 12:17 ISTImage used for representation. (Photo: https://www.dholera-smart-city.com/)Apart from the Ahmedabad Dholera Expressway, the over 1220 km long Amritsar- Jamnagar Expressway will be another highlight pointAfter the inauguration of phase one of the much-awaited Delhi-Mumbai Expressway, all eyes are on the 109 km long Ahmedabad-Dholera Expressway. India’s first high speed multimodal corridor integrating road and rail network is expected to be complete by January 2024.Dholera, which…

Multimodal enrichment as the optimal learning strategy of the future

Lexical tone-learning material and three types of enrichment material that differ in perceptual and semantic congruency.(A) Learning material. Contours of the four Mandarin lexical tones displayed in auditory spectrograms. Tones are characterized as flat, rising, falling–rising, or falling. Contours within each spectrogram are highlighted by white-broken lines. (B) Visual tone marks that are perceptually congruent with the pitch contour of each tone and…