AI News

JULY 30, 2024

The discussion highlighted Meta’s significant contributions to AI development. Huang praised Meta’s work, saying, “You guys have done amazing AI work,” and cited advancements in computer vision, language models, and real-time translation.

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AI Weekly

JUNE 6, 2024

Register now] pitneybowes.com In The News Amazon will use computer vision to spot defects before dispatch Amazon will harness computer vision and AI to ensure customers receive products in pristine condition and further its sustainability efforts.

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Unite.AI

MARCH 28, 2025

It enables companies and developers to easily create, deploy, and manage intelligent chatbots for customer service, sales, HR, and more. The platform provides a rich visual interface and tooling to design conversation flows and integrate AI, so you can automate dialogues and workflows that traditionally required human agents.

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NVIDIA

MARCH 25, 2025

NVIDIA NIM microservices, available now, and AI Blueprints , in the coming weeks, accelerate AI development and improve its accessibility. Though the pace of innovation with AI is incredible, it can still be difficult for the PC developer community to get started with the technology. Ready, Set, NIM!

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Flipboard

JANUARY 14, 2025

Although architecting for data residency with an Outposts rack and Local Zone has been broadly discussed, generative AI and FMs introduce an additional set of architectural considerations. The embedding model, which is hosted on the same EC2 instance as the local LLM API inference server, converts the text chunks into vector representations.

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Unite.AI

OCTOBER 6, 2023

As a result, consumer-focused AI has enjoyed a head start in widespread implementation, innovation, and applicable use cases. Establishing Reliable Quality Metrics for AI Models is Tricky The fireside chat’s startup panel noted that one of the primary hurdles we face today is establishing reliable quality metrics for AI models.

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Unite.AI

SEPTEMBER 10, 2024

Eric Landau is the CEO & Co-Founder of Encord , an active learning platform for computer vision. Eric was the lead quantitative researcher on a global equity delta-one desk, putting thousands of models into production. Ulrik had a similar experience visualizing large image datasets for computer vision.

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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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IBM Journey to AI blog

FEBRUARY 14, 2024

Personalize customer experiences The use of AI is effective for creating personalized experiences at scale through chatbots, digital assistants and customer interfaces , delivering tailored experiences and targeted advertisements to customers and end-users.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. OpenAI’s GPT-4, rumored to have around 1.76

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NVIDIA

FEBRUARY 26, 2025

Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and enhancing productivity.

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Marktechpost

JUNE 27, 2023

Artificial intelligence (AI) has made considerable advances over the past few years, becoming more proficient at activities previously only performed by humans. Yet, hallucination is a problem that has become a big obstacle for AI. What is AI Hallucination? It is training computers to perceive the world as one does.

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AssemblyAI

MARCH 21, 2023

New GNN-powered drug discovery algorithm (MIT Lab) Perhaps one of the most famous recent applications of AI methods in the pharmaceutical domain came out of a research project from the Massachusetts Institute of Technology that turned into a publication in the prestigious scientific journal Cell.

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Analytics Vidhya

APRIL 14, 2023

These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines. This AI model incorporates Visual […] The post Microsoft Releases VisualGPT: Combines Language and Visuals appeared first on Analytics Vidhya.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more.

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IBM Journey to AI blog

DECEMBER 15, 2023

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. This availability makes open-source projects and AI models popular with developers, researchers and organizations.

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Viso.ai

MARCH 26, 2024

This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. In this article, we present 7 key applications of computer vision in finance: No.1: Applications of Computer Vision in Finance No. 1: Fraud Detection and Prevention No.2:

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Towards AI

FEBRUARY 19, 2025

As of now, AI has about as much self-awareness as your toaster. When a Google engineer claimed their chatbot was sentient, the bot didnt demand rights it was just really good at simulating conversation. If I told an AI it was a cat, it would start meowing in text. Misconception #6 Bigger AI models = Better AI models.

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Flipboard

FEBRUARY 10, 2025

Traditional chatbots are limited to preprogrammed responses to expected customer queries, but AI agents can engage with customers using natural language, offer personalized assistance, and resolve queries more efficiently. For instance, consider customer service. In his free time, he enjoys playing chess and traveling.

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NVIDIA

OCTOBER 30, 2023

It shows how even highly specialized fields can use their internal data to train useful generative AI models.” After surveying NVIDIA engineers for possible use cases, the research team chose three to start: a chatbot, a code generator and an analysis tool.

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Unite.AI

FEBRUARY 26, 2025

The NVLink-C2C interconnect optimizes data transfer, making it efficient for computer vision, natural language processing, and AI-driven automation. Project DIGITS is developer-ready and has preinstalled AI frameworks such as TensorFlow, PyTorch, CUDA, NeMo, RAPIDS, and Jupyter notebooks.

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Marktechpost

JULY 31, 2024

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning This course teaches you how to use TensorFlow to build scalable AI models, starting with a soft introduction to Machine Learning and Deep Learning principles.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies Generative AI integration into existing chatbot solutions serves to enhance the conversational abilities and overall performance of chatbots. While these chatbots can handle basic inquiries and requests, they often struggle to understand more complex or nuanced queries.

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Pickl AI

DECEMBER 15, 2024

Personalised Medicine IBM Watson Health uses AI to analyse patient data and recommend personalised treatment options based on genetic information and medical history. Automated Trading AI algorithms analyse market trends and execute trades at optimal times, maximizing profits for investment firms.

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Viso.ai

AUGUST 15, 2024

Chatbots are AI agents that can simulate human conversation with the user. The generative AI capabilities of Large Language Models (LLMs) have made chatbots more advanced and more capable than ever. This makes any business want their own chatbot, answering FAQs or addressing concerns.

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NVIDIA

OCTOBER 19, 2023

Training generative AI models just got easier. Its addition of DGX Cloud and NVIDIA AI Enterprise lets OCI customers use their existing cloud credits to integrate NVIDIA’s leading AI supercomputing platform and software into their development and deployment pipelines.

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations. Topical guardrails ensure that chatbots stick to specific subjects.

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IBM Journey to AI blog

JULY 6, 2023

We define weak AI by its ability to complete a specific task, like winning a chess game or identifying a particular individual in a series of photos. Natural language processing (NLP) and computer vision, which let companies automate tasks and underpin chatbots and virtual assistants such as Siri and Alexa, are examples of ANI.

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Viso.ai

NOVEMBER 19, 2023

This article provides an overview of AI software products worth checking out in 2024. This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI.

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Unite.AI

OCTOBER 10, 2024

With the launch of ApertureDB Cloud, organizations can now try the platform with a risk-free 30-day trial, making it accessible for AI teams looking to streamline their data operations and scale their AI models. 63% reduction in network transfer of large visual data , improving operational efficiency.

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AWS Machine Learning Blog

MARCH 20, 2025

This is achieved through responsible AI, with Amazon Bedrock Data Automation passing every process through a responsible AI model to help ensure fairness, accuracy, and compliance in document automation. About the Authors Wrick Talukdar is a Tech Lead Generative AI Specialist focused on Intelligent Document Processing.

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Automation IDP Generative AI Prompt Engineer 108

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Now you can continuously stream inference responses back to the client when using SageMaker real-time inference to help you build interactive experiences for generative AI applications such as chatbots, virtual assistants, and music generators. Refer to the GitHub repo for more details of the chatbot implementation.

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NVIDIA

DECEMBER 13, 2023

Generative AI and large language models (LLMs), capable of learning meaning and context, promise disruptive capabilities across industries with new levels of output and productivity. Financial services firms can harness generative AI to develop more intelligent and capable chatbots and improve fraud detection.

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Towards AI

OCTOBER 10, 2024

Last Updated on October 12, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week we discuss the hottest trend in AI: Model Distillation, along with some interesting articles on RAG, Llama 3.2, Building a Smart Chatbot […]

Machine Learning 111

Machine Learning Computer Vision Explainability AI 111

NVIDIA

OCTOBER 23, 2024

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028 , the new AI model has the potential to dramatically improve healthcare accessibility and efficiency. This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager.

LLM 113

LLM Generative AI Natural Language Processing Computer Vision 113

Unite.AI

MAY 29, 2023

This far outstrips its predecessor models by a factor of 500, opening the door for developers to construct complex language models for next-generation AI chatbots, craft advanced algorithms for recommender systems, and build sophisticated graph neural networks, vital for fraud detection and data analytics tasks.

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Pickl AI

OCTOBER 10, 2024

Summary: This blog delves into five prominent AI models: foundation models, Large Language Models, multimodal models, diffusion models, and generative adversarial networks. Understanding these models is crucial for leveraging their capabilities effectively.

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