Analytics Vidhya

JANUARY 19, 2024

AI robotics company Figure has joined hands with BMW to deploy humanoid robots at the automaker’s manufacturing facility later this year. This partnership marks a significant leap in integrating AI and robotics into the automotive industry, promising increased productivity, cost reductions, and a safer work environment. Figure’s Partnership with BMW Figure is teaming up with […] The post Figure’s Humanoids Set to Automate BMW’s Manufacturing Process appeared first o

Automation 322

Automation Robotics AI AI 322

IBM Journey to AI blog

JANUARY 19, 2024

Whether your industry faces challenges from geopolitical strife, fallout from a global pandemic or rising aggression in the cybersecurity space, the threat vector for modern enterprises is undeniably powerful. Disaster recovery strategies provide the framework for team members to get a business back up and running after an unplanned event. Worldwide, the popularity of disaster recovery strategies is understandably increasing.

Categorization 298

Categorization 298

Analytics Vidhya

JANUARY 19, 2024

Welcome to the Pandas Power Quiz, where we unravel the magic of data manipulation and analysis with Python’s powerhouse library – Pandas! With its versatile DataFrame structure, Pandas empowers you to navigate the vast data landscape effortlessly. Pandas offers many tools to make your data dance to your tune, from slicing and dicing to merging […] The post AI Quiz of the Day – #13 (Pandas) appeared first on Analytics Vidhya.

Python 316

Python AI AI 316

AI News

JANUARY 19, 2024

Google has announced plans to invest $1 billion in a new data centre in the UK which it says will help to meet “growing demand” for its AI and cloud services. The 33-acre site in Waltham Cross, Hertfordshire will bring much-needed compute capacity to businesses, supporting AI innovation and ensuring reliable digital services for Google Cloud customers and general consumers relying on products like Search, Maps, and YouTube.

Big Data 301

Big Data AI AI Explainability 301

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

JANUARY 19, 2024

Introduction Renowned for pushing gaming boundaries, Rockstar Games aims to transform the Grand Theft Auto series with GTA 6. This mesmerising evolution promises advancements in artificial intelligence (AI), which will lead to the conversion of the virtual world and bring unprecedented realism and interactivity. AI-Powered Enemy Dynamics The leaks and official trailers have shown a […] The post GTA 6: A Revolution in Gaming through AI appeared first on Analytics Vidhya.

Artificial Intelligence 311

Artificial Intelligence Artificial Intelligence AI AI 311

Analytics Vidhya

JANUARY 19, 2024

Mark Zuckerberg, the CEO of Meta, has disclosed plans to develop and build open-source AGI. This strategic move aligns with Meta’s ongoing commitment to open-source AI models and signifies a major step towards fostering collaboration in the global AI community. Meta’s Pioneering Role in Open Source AI Meta, formerly known as Facebook, has consistently been […] The post Mark Zuckerberg Announces Heavy Investment for Open Source Gen AI appeared first on Analytics Vidhya.

AI 299

AI AI AI Modeling 299

Unite.AI

JANUARY 19, 2024

In an ambitious move signaling a major strategic shift, Meta is diving deep into the realm of artificial intelligence. At the core of this venture is a massive investment in Nvidia's cutting-edge computer chips, integral to AI research and development. Mark Zuckerberg, the CEO of Meta, recently revealed plans for an extensive AI infrastructure, pivotal to the company's future roadmap in technology.

Artificial Intelligence 264

Artificial Intelligence Artificial Intelligence AI Research AI Researcher 264

Analytics Vidhya

JANUARY 19, 2024

Introduction Creating a Pandas DataFrame is a fundamental task in data analysis and manipulation. It allows us to organize and work with structured data efficiently. In this article, we will explore how to create a Pandas DataFrame from lists, discussing the reasons behind it and providing a step-by-step guide. By the end of this article, […] The post How to Create a Pandas DataFrame from Lists ?

Data Analysis 296

Data Analysis Python 296

AssemblyAI

JANUARY 19, 2024

In this post, you'll learn how to get started with integrating AssemblyAI into your Go applications. For a more step-by-step introduction to transcribing audio using the Go SDK, check out how to Transcribe an audio file in our docs. Getting started You can install the SDK directly from GitHub, using go get. The SDK supports Go modules and follows the Go module versioning strategy.

LLM 182

LLM Chatbots 182

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

JANUARY 19, 2024

In a historic milestone for healthcare, the FDA has approved the world’s first AI-powered tool designed by DermaSensor for the point-of-care and noninvasive diagnosis of skin cancer. This breakthrough technology, which includes the identification of melanoma, basal cell carcinoma, and squamous cell carcinoma, marks a transformative step in dermatological diagnostics.

AI 295

AI AI Python Artificial Intelligence 295

AssemblyAI

JANUARY 19, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Anthropic's Claude 2.1 Now Available with LeMUR Claude 2.1 is now available through  LeMUR. This new model shares similarities with our Default model but stands out with reduced hallucinations, an expanded context window, and improved performance in citations.

Python 147

Python Large Language Models LLM AI Modeling 147

Analytics Vidhya

JANUARY 19, 2024

OpenAI partners with Arizona State University (ASU) in a groundbreaking collaboration, merging artificial intelligence and higher education. ASU gains full enterprise access to ChatGPT for diverse applications, spanning coursework support, innovative research, and administrative efficiency. ChatGPT Enterprise Set to Revolutionize Higher Education OpenAI’s ChatGPT Enterprise, known for its prowess in generative artificial intelligence, will become […] The post OpenAI and Arizona State

OpenAI 294

OpenAI Artificial Intelligence Artificial Intelligence ChatGPT 294

Aiiot Talk

JANUARY 19, 2024

Current underwater environmental protection efforts need to enter the modern age. If you’re like most people, you agree using artificial intelligence is the best way to do it. After all, algorithms are one of the most promising technologies in the digital age. Why Should You Use AI for Environmental Protection? Underwater environmental protection efforts are more critical than you realize.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Algorithm Automation 130

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Analytics Vidhya

JANUARY 19, 2024

In the dynamic realm of AI-driven creative tools, RunwayML has once again raised the bar with the introduction of its revolutionary Multi Motion Brush feature. Designed to provide creators with unprecedented control over multiple areas of their video generation, this cutting-edge tool is set to add a new dimension to the way visual content is […] The post RunwayML Introduces a Multi-Motion Brush to Turn Images into Videos appeared first on Analytics Vidhya.

AI 287

AI AI 287

Aiiot Talk

JANUARY 19, 2024

Current underwater environmental protection efforts need to enter the modern age. If you’re like most people, you agree using artificial intelligence is the best way to do it. After all, algorithms are one of the most promising technologies in the digital age. Why Should You Use AI for Environmental Protection? Underwater environmental protection efforts are more critical than you realize.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Algorithm Automation 130

Analytics Vidhya

JANUARY 19, 2024

Instagram has become a bustling platform where short-form videos thrive, offering a space for both individuals and companies to connect with their audience. With Instagram Reels growing rapidly in the realm of social media marketing, it’s crucial to look into innovative tools that can enhance the quality and effectiveness of your content. In this article, […] The post 7 Best AI Reels Generators for Instagram in 2024 appeared first on Analytics Vidhya.

AI 288

AI AI Generative AI Artificial Intelligence 288

Unite.AI

JANUARY 19, 2024

Traditionally, models for single-view object reconstruction built on convolutional neural networks have shown remarkable performance in reconstruction tasks. In recent years, single-view 3D reconstruction has emerged as a popular research topic in the AI community. Irrespective of the specific methodology employed, all single-view 3D reconstruction models share the common approach of incorporating an encoder-decoder network within their framework.

Convolutional Neural Networks 130

Convolutional Neural Networks Neural Network Explainability Categorization 130

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

JANUARY 19, 2024

Introduction In the cloud industry, various providers like AWS, GCP, and Azure offer a range of services. Currently, AWS stands out as the most popular, with one of its key services being the AWS Load Balancer. This service efficiently manages traffic across different regions. By leveraging this service, for instance, when hosting a website facing […] The post AWS Load Balancer: EC2 Integration, Target Groups & CCP Exam appeared first on Analytics Vidhya.

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Unite.AI

JANUARY 19, 2024

Ioan Jacob, is the founder and CEO of FLOWX.AI , a revolutionary AI Application Modernization Platform for enterprise mission-critical applications. It is a modern event-driven platform built on a microservices architecture. It uses the most popular industry standards for process modeling, business rule management and integrates as easily with legacy systems as with the latest APIs and RPAs.

Software Development 130

Software Development Automation AI AI 130

Marktechpost

JANUARY 19, 2024

Reinforcement learning (RL) has witnessed significant strides in integrating Transformer architectures, which are known for their proficiency in handling long-term dependencies in data. This advancement is crucial in RL, where algorithms learn to make sequential decisions, often in complex and dynamic environments. The fundamental challenge in RL is twofold: understanding and utilizing past observations (memory) and discerning the impact of past actions on future outcomes (credit assignment).

Natural Language Processing 128

Natural Language Processing Algorithm Computer Vision ML 128

Unite.AI

JANUARY 19, 2024

Large language models (LLMs) like GPT-4, PaLM, and Llama have unlocked remarkable advances in natural language generation capabilities. However, a persistent challenge limiting their reliability and safe deployment is their tendency to hallucinate – generating content that seems coherent but is factually incorrect or ungrounded from the input context.

Large Language Models 147

Large Language Models LLM Prompt Engineer Prompt Engineering 147

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Marktechpost

JANUARY 19, 2024

Despite the astonishing developments and achievements in the technology field, classical diffusion models still face challenges in image generation, particularly because of their slow sampling speed and the need for extensive parameter tuning. These models, used in computer vision and graphics, have become significant in tasks like synthetic data creation and aiding multi-modal models.

Machine Learning 121

Machine Learning Computer Vision ML Artificial Intelligence 121

AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. Pre-trained language models (PLMs) are undergoing rapid commercial and enterprise adoption in the areas of productivity tools, customer service, search and recommendations, business process automation, and content creation.

BERT 119

BERT Automation Neural Network Machine Learning 119

Marktechpost

JANUARY 19, 2024

Task-agnostic model pre-training is now the norm in Natural Language Processing, driven by the recent revolution in large language models (LLMs) like ChatGPT. These models showcase proficiency in tackling intricate reasoning tasks, adhering to instructions, and serving as the backbone for widely used AI assistants. Their success is attributed to a consistent enhancement in performance with increased capacity or pre-training data.

AI Research 124

AI Research AI Researcher Natural Language Processing Large Language Models 124

Artificial Corner

JANUARY 19, 2024

Hi! This is the second article of “How AI can help you learn to code.“ This one is about GPTs. Most of these GPTs will help you automate some of your work as a programmer, while one will help you with your coding questions without giving you the answers right away or coding for you … You can find the firt article of these series here.

Python 98

Python Data Extraction Automation Explainability 98

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Marktechpost

JANUARY 19, 2024

Manifold learning, rooted in the manifold assumption, reveals low-dimensional structures within input data, positing that the data exists on a low-dimensional manifold within a high-dimensional ambient space. Deep Manifold Learning (DML), facilitated by deep neural networks, extends to graph data applications. For instance, MGAE leverages auto-encoders in the graph domain to embed node features and adjacency matrices.

Machine Learning 114

Machine Learning Neural Network Algorithm ML 114

Extreme Tech

JANUARY 19, 2024

A follow-up on the Event Horizon Telescope’s iconic 2019 M87* image depicts the 'fiery donut' in all its glowing glory.

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Marktechpost

JANUARY 19, 2024

Large language models (LLMs) have revolutionized various AI-infused applications, from chat models to autonomous driving. This evolution has spurred the need for systems that can efficiently deploy and serve these models, especially under the increasing demand for handling long-prompt workloads. The major hurdle in this domain has been balancing high throughput and low latency in serving systems, a challenge existing frameworks need help to meet.

LLM 115

LLM AI Research AI Researcher Large Language Models 115