Marktechpost

FEBRUARY 16, 2024

Prompting Large Language Models (LLMs) has emerged as a standard practice in Natural Language Processing (NLP) following the introduction of GPT-3. Speech Language Models (SpeechLMs), which are language models trained directly on speech, have been introduced by researchers, marking the beginning of an active area of research.

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Marktechpost

MARCH 1, 2024

The dataset aims to help researchers to solve problems like activity detection and speaker diarization. While the model’s aim is to accurately transcribe both sides of natural conversations in real-time, considering factors such as speaker identification, speech recognition, diarization, and the integration of multi-modal signals.

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AI Weekly

JANUARY 18, 2024

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. cryptopolitan.com How to Build a Thinking AI This article provides an analytical framework for how to simulate human-like thought processes within a computer.

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AI Weekly

DECEMBER 28, 2023

But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts. But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts.

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IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. But, unlike humans, AGIs don’t experience fatigue or have biological needs and can constantly learn and process information at unimaginable speeds.

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Unite.AI

AUGUST 29, 2023

However, today's ML and AI models have one major limitation: they require an immense amount of computing and processing power to achieve the desired results and accuracy. Recent research in the field of IoT edge computing has demonstrated the potential to implement Machine Learning techniques in several IoT use cases.

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Unite.AI

JANUARY 23, 2024

As the company gears up to take on more ambitious projects and maintain its edge in research and product development, this financial boost is set to catalyze a series of innovations and expansions in the field of AI-driven voice technology. Its voice cloning feature, in particular, represents a significant leap in AI voice technology.

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AssemblyAI

SEPTEMBER 20, 2023

Speech-to-Text recognition technology has come a long way since Bell Laboratories invented “Audrey” in the 1950s. Audrey could only comprehend numbers, and it wasn’t until a decade later that researchers added rudimentary word comprehension. Conformer-2 is a state-of-the-art speech recognition model trained on 1.1M

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Unite.AI

MAY 3, 2024

Andrew Gordon draws on his robust background in psychology and neuroscience to uncover insights as a researcher. Prolific was created by researchers for researchers, aiming to offer a superior method for obtaining high-quality human data and input for cutting-edge research.

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AI Researcher AI Research Data Quality AI Developer 130

Marktechpost

SEPTEMBER 14, 2023

In recent research, an innovative embodied conversational agent known as FurChat has been unveiled. have pushed the boundaries of what’s possible in natural language processing. To facilitate communication, Furhat is equipped with a microphone array and speakers, enabling it to recognize and respond to human speech.

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Unite.AI

NOVEMBER 26, 2023

In a remarkable leap forward for artificial intelligence and multimedia communication, a team of researchers at Nanyang Technological University, Singapore (NTU Singapore) has unveiled an innovative computer program named DIRFA (Diverse yet Realistic Facial Animations). Dr. Wu Rongliang added, “Speech exhibits a multitude of variations.

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Marktechpost

MARCH 30, 2024

Researchers at Shanghai AI Laboratory, SenseTime Group, The Chinese University of Hong Kong, and Fudan University have unveiled InternLM2 , a remarkable open–source achievement in Large Language Models (LLMs). The researchers behind InternLM2 have taken a multifaceted approach to address this challenge.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 128

Unite.AI

FEBRUARY 9, 2024

In essence, my voyage is one of aligning with the macrocosmic evolution of complexity itself—a narrative where the universe, through an inexorable process of compounding complexity from simplicity, has birthed consciousness and, subsequently, technology. What are some of the biggest challenges behind building a brain-computer interface (BCI)?

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Unite.AI

DECEMBER 11, 2023

Google's Gemini model is capable of processing diverse data types such as text, images, audio, and video. Gemini's architecture is unique in its native multimodal output capability, using discrete image tokens for image generation and integrating audio features from the Universal Speech Model for nuanced audio understanding.

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Marktechpost

MARCH 4, 2024

Artificial Intelligence (AI) and Deep Learning, with a focus on Natural Language Processing (NLP), have seen substantial changes in the last few years. RNN’s innate ability to process sequential data makes them well-suited for tasks involving sequences, such as time-series data, text, and speech. Check out the Paper.

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Machine Learning Neural Network Natural Language Processing Deep Learning 125

NVIDIA

APRIL 3, 2024

Bring Avatars to Life With NVIDIA ACE The process of creating NPCs starts with providing them a backstory and purpose, which helps guide the narrative and ensures contextually relevant dialogue. NPCs tap up to four AI models to hear, process, generate dialogue and respond.

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Marktechpost

SEPTEMBER 28, 2023

This prior is based on the observation that prepositions are closely linked to relations, prepositions and words of other parts of speech are individually clustered in the text embedding space, and complex real-world relations can be expressed using a basic set of prepositions. Check out the Paper and Project.

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AI AI AI Researcher AI Research 128

Google Research AI blog

AUGUST 21, 2023

Posted by Catherine Armato, Program Manager, Google This week, the 24th Annual Conference of the International Speech Communication Association (INTERSPEECH 2023) is being held in Dublin, Ireland, representing one of the world’s most extensive conferences on research and technology of spoken language understanding and processing.

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Marktechpost

DECEMBER 18, 2023

In a groundbreaking study, MIT researchers have delved into the realm of deep neural networks, aiming to unravel the mysteries of the human auditory system. The foundation of this research builds upon prior work where neural networks were trained to perform specific auditory tasks, such as recognizing words from audio signals.

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Marktechpost

OCTOBER 24, 2023

In high-income regions, treatment coverage for mental health services is 33%; in low- and lower-middle-income areas, it is just 8%. In DoT, they use three steps to diagnose the patient’s speech: subjective evaluation, contrastive reasoning, and schema analysis. All Credit For This Research Goes To the Researchers on This Project.

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Large Language Models LLM AI AI 122

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. In addition, ML techniques power tasks like speech recognition, text classification, sentiment analysis and entity recognition. billion by 2030.

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Towards AI

FEBRUARY 18, 2024

After researching various listings, he finds a cozy two-bedroom apartment listed for $200,000. He evaluates its potential rental income and compares it with similar properties in the area before making his purchase decision. Because names are proper nouns, they were separated using parts of speech as shown in code below.

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NLP Natural Language Processing Python AI 109

Chatbots Life

APRIL 16, 2024

They predict the next observation in a sequence based on the hidden states of the process. Some areas where generative models excel include: Image Generation Generative models can generate realistic images, such as creating new faces or producing artwork. This is useful in natural language processing tasks.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. With text to speech and NLP, AI can respond immediately to texted queries and instructions. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

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Marktechpost

JULY 12, 2023

Although studies have previously shown evidence of speech predictions in the brain, the nature of predicted representations and their temporal scope remain largely unknown. Researchers can bridge the gap between human language processing and deep learning algorithms by incorporating these ideas into deep language models.

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Deep Learning Natural Language Processing Algorithm AI Researcher 97

AWS Machine Learning Blog

FEBRUARY 20, 2024

This time-consuming process must be completed before content can be dubbed into another language. The engagement focused on delivering a functional solution for the localization process, while providing hands-on training to ZOO Digital developers on SageMaker, Amazon Transcribe , and Amazon Translate. in a code subdirectory.

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Metadata Auto-complete Machine Learning Deep Learning 95

Marktechpost

JULY 17, 2023

Significant improvements in the autoregressive creation of speech and music have recently been made due to discrete acoustic token modeling developments. Researchers from Descript Inc. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

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AI Tools AI Researcher AI Research ML 95

Flipboard

MAY 10, 2023

Launched nearly a decade ago by late Microsoft co-founder Paul Allen, the Seattle-based institute is backed by $100 million in annual funding and employs more than 200 AI researchers, engineers, professors, and staff. Researchers help startup founders at the incubator test ideas and develop and train AI models.

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Marktechpost

JULY 12, 2023

These networks may carry out a range of human-like activities, including face recognition, speech recognition, object identification, natural language processing, and content synthesis, which include several layers and a lot of neurons or transformer blocks.

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Neural Network Computer Vision AI Researcher AI Research 98

Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

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Viso.ai

MARCH 20, 2024

Throughout, you’ll gain the following insights: Definition and Scope of Foundation Models How Do Foundation Models Undergo Training And Fine-Tuning Processes? Use Cases of Foundation Models Foundation models excel in natural language processing, computer vision, and various other artificial intelligence tasks.

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Defined.ai blog

JANUARY 19, 2023

While the US has a comparative advantage in several AI areas, such as AI services, audio and natural language processing, robotics, and connected and automated vehicles, one factor giving China its competitive edge is its access to big data, the fuel of AI development. The same approach can be used to build text-to-speech (TTS).

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Conversational AI Natural Language Processing Automation Big Data 98

Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing? Consider spam filters in your email.

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Natural Language Processing NLP Auto-classification Data Mining 52

Pickl AI

APRIL 25, 2023

Apparently, Machine Learning has been able to solve complex business problems in the areas of finance, healthcare, manufacturing, and logistics. It mainly comprises layers of interconnected processes nodes or neurons. The next layer emphasizes on processes of the input and passes on to the third layer. What is NLP?

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Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

ODSC - Open Data Science

MARCH 28, 2023

You’ll learn about the latest research, topics, and tools from the leading experts in their respective fields. Plus, with areas exclusive to ODSC Europe this June 14th-15th, both in-person in London and virtually, you will have access to training that you can’t get anywhere else.

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ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

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Responsible AI Deep Learning Data Science Machine Learning 52

How to Learn Machine Learning

JANUARY 21, 2023

At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. It is used in many areas including robotics, healthcare, finance, marketing and even autonomous vehicles. The key component of AI includes data processing, algorithms, and machine learning.

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