AI Weekly

JULY 27, 2023

In the News 10 Thought-Provoking Novels About AI Although we’re probably still a long way off from the sentient forms of AI that are depicted in film and literature, we can turn to fiction to probe the questions raised by these technological advancements (and also to read great sci-fi stories!). to power those data centers.

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Marktechpost

DECEMBER 16, 2023

Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. The researchers also developed web-based tools, allowing public access to the AI models for real-time chest x-ray interpretation.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. Subscribe today!] 1.41%) (BRK.B

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Marktechpost

NOVEMBER 3, 2023

In several natural language processing applications, text-based big language models have shown impressive and even human-level performance. Five speech-based natural language processing (NLP) tasks, including slot filling and translation to untrained languages, are included in the second level.

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Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). LLMs are becoming increasingly popular for graph-based applications.

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Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

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Marktechpost

AUGUST 7, 2023

As the world of technology continues to evolve, Perfusion stands as a testament to the incredible possibilities at the intersection of natural language processing and image generation. Perfusion has showcased its prowess in generating remarkable visual compositions even in one-shot settings.

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Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. If you like our work, you will love our newsletter.

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AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi

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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Code implementation of the PaLM-E model is not available.

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Unite.AI

FEBRUARY 16, 2024

Artificial Intelligence (AI) is everywhere. From smart assistants to self-driving cars , AI systems are transforming our lives and businesses. But what if there was an AI that could do more than perform specific tasks? What if there was a type of AI that could learn and think like a human or even surpass human intelligence?

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AI Weekly

JANUARY 18, 2024

Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years. Serendipitously, I’ve found the laziest, easiest AI product out there.

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AI Weekly

DECEMBER 14, 2023

Powered by superai.com In the News 20 Best AI Chatbots in 2024 Generative AI chatbots are a major step forward in conversational AI. These chatbots are powered by large language models (LLMs) that can generate human-quality text, translate languages, write creative content, and provide informative answers to your questions.

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Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

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Marktechpost

JUNE 22, 2023

These models have revolutionized the field of natural language processing and are being increasingly utilized across various domains. We, as individuals, acquire cognitive capacities and linguistic abilities through socialization and immersion in a community of language users. 2023 is the year of LLMs.

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ODSC - Open Data Science

FEBRUARY 29, 2024

There are a lot of amazing research labs that are pushing the envelope of research when it comes to AI. If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. Recently, they unveiled new mind-body neural control prostheses.

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Pickl AI

APRIL 19, 2024

Summary: Embark on your journey to learn AI from scratch with a structured roadmap. Engage in practical projects, seek mentorship, and join AI communities for support and guidance. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops.

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Marktechpost

JULY 23, 2023

The human brain, regarded as the paradigm for neural network theories, concurrently processes information from various sensory inputs, such as visual, auditory, and tactile signals. However, because of their greater emphasis on vision and language, they cannot share the entire encoder across modalities.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).

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Marktechpost

OCTOBER 18, 2023

One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training. The third essential component is the multi-threaded execution.

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Towards AI

MARCH 20, 2023

Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! Table of Contents What is generative AI? How does generative AI differ from other types of AI?

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Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 24, 2023

The release of Transformers has marked a significant advancement in the field of Artificial Intelligence (AI) and neural network topologies. Understanding the workings of these complex neural network architectures requires an understanding of transformers. Check out the Paper.

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Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

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Marktechpost

JULY 27, 2023

Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on. All Credit For This Research Goes To the Researchers on This Project.

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). They need a lot of expertise, resources, and coordination.

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AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Marktechpost

DECEMBER 17, 2023

Training large language models (LLMs) that can naturally handle various tasks without extensive task-specific adjustments has become more popular in natural language processing (NLP). All credit for this research goes to the researchers of this project. This unifies their representational domains.

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Marktechpost

JULY 16, 2023

The Vision Transformer (ViT) rapidly replaces convolution-based neural networks because of its simplicity, flexibility, and scalability. Feeding data into a deep neural network during training and operation in batches is common practice. All Credit For This Research Goes To the Researchers on This Project.

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Viso.ai

DECEMBER 1, 2023

As Artificial Intelligence (AI) models become more important and widespread in almost every sector, it is increasingly important for businesses to understand how these models work and the potential implications of using them. This guide will provide an overview of AI models and their various applications. Get the Whitepaper or a Demo.

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Marktechpost

SEPTEMBER 7, 2023

To address the challenges, a group of researchers has introduced CatBERTa, a Transformer-based model designed for energy prediction that uses textual inputs. CatBERTa has been built upon a pretrained Transformer encoder, a type of deep learning model that has shown exceptional performance in natural language processing tasks.

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Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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NVIDIA

OCTOBER 6, 2023

“There’s a whole field of research that explores how to improve ETAS,” said Dacher-Cousineau, a postdoctoral researcher at UC Berkeley. The RECAST model architecture builds on developments in neural temporal point processes, which are probabilistic generative models for continuous time event sequences.

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Marktechpost

JUNE 29, 2023

Built on Natural Language Processing and Natural Language Understanding, it answers questions, generates unique and creative content, summarizes lengthy texts, completes codes and emails, and so on. All Credit For This Research Goes To the Researchers on This Project.

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Marktechpost

JANUARY 18, 2024

Artificial Intelligence (AI) has made significant strides in the past few years with the advancements in Deep Learning (DL) and the advent of Large Language Models (LLMs). Many powerful applications have been developed that are capable of processing enormous amounts of data.

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Marktechpost

OCTOBER 10, 2023

is one of the most recent advancements in artificial intelligence (AI) for large language models (LLMs). Mistral AI’s latest LLM is one of the largest and most potent examples of this model type, boasting 7 billion parameters. is a transformer model, a type of neural network especially useful for NLP applications.

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Marktechpost

JULY 11, 2023

Artificial neural networks are the key component here which are inspired by the structure and functioning of the human brain. This knowledge gap raises a fundamental question: to what extent can MLPs hold on with modern neural network architectures if we were to train them in modern settings ? Let’s take a look.

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