IBM Journey to AI blog

JANUARY 22, 2024

Data centers are undergoing significant evolution. Initially, they were massive, centralized facilities that were complex, costly and difficult to replicate or restore. Now, advancements in hardware and software as well as increased focus on sustainability are driving rapid transformation. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

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ESG Automation AI AI 324

Unite.AI

JANUARY 22, 2024

Michael Dougherty, CEO & Co-Founder of Remix AI , a free-to-use app for exploring creativity with AI. The app allows users to create, share, and get inspired in a community full of artists and creative minds. Tell us about your journey in technology. I have always been excited about advanced platforms that combine new platforms and advanced technologies with creation, media, and music.

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AI AI Generative AI Machine Learning 317

IBM Journey to AI blog

JANUARY 22, 2024

It’s the news no organization wants to hear―you’ve been the victim of a ransomware attack, and now you’re wondering what to do next. The first thing to keep in mind is you’re not alone. Over 17 percent of all cyberattacks involve ransomware —a type of malware that keeps a victim’s data or device locked unless the victim pays the hacker a ransom.

Machine Learning 312

Machine Learning 312

Analytics Vidhya

JANUARY 22, 2024

In a strategic move to step into drug development, Nvidia recently unveiled collaborations with biotech giants Amgen and Recursion. This marks a significant leap in the fusion of technology and biotechnology. The partnerships aim to leverage the capabilities of Nvidia’s cutting-edge AI technologies to expedite drug discovery processes and foster innovation in the healthcare industry. […] The post Nvidia Forges Powerful Alliances in AI Drug Development Surge appeared first on Analytic

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AI AI AI Research AI Researcher 306

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

IBM Journey to AI blog

JANUARY 22, 2024

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. However, GDPR compliance is not necessarily a straightforward matter. The law outlines a set of data privacy rights for users and a series of principles for the processing of personal data.

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Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. In Natural Language Processing (NLP) , synthetic data proves invaluable for enhancing training sets, particularly in low-resource languages, domains, and tasks, thereby enhancing the performance and robustness of NLP models.

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Analytics Vidhya

JANUARY 22, 2024

Introduction In the realm of Python programming, managing and manipulating data is a core skill, and Python’s prowess in handling lists is a testament to its versatility. List operations often involve surgically removing specific items for tasks such as data cleaning, filtering, or general manipulation. This article explores various strategies for efficient item removal from […] The post How to Remove an Item from a List in Python ?

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Python 302

Great Learning

JANUARY 22, 2024

Data Science is a combination of mathematics, statistics, machine learning, and computer science. Data Science is collecting, analyzing and interpreting data to gather insights into the data that can help decision-makers make informed decisions. Data Science is used in almost every industry today that can predict customer behavior and trends and identify new opportunities.

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Analytics Vidhya

JANUARY 22, 2024

Casper Labs and IBM have teamed up in a promising collaboration, aimed at reshaping the landscape of artificial intelligence (AI) governance. By integrating AI with blockchain technology, they aspire to enhance transparency and consumer safety. Their innovative approach addresses critical issues such as intellectual property risks and governance challenges in AI training across industries.

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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

Marktechpost

JANUARY 22, 2024

Future models must receive superior feedback for effective training signals to advance the development of superhuman agents. Current methods often derive reward models from human preferences, but human performance limitations constrain this process. Relying on fixed reward models impedes the ability to enhance learning during Large Language Model (LLM) training.

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Analytics Vidhya

JANUARY 22, 2024

Introduction Python lists serve as versatile data structures, allowing the storage and manipulation of collections of items. Among their most powerful features is the ability to access and modify individual elements using index values. This article explores various techniques and methods for efficient list indexing in Python, covering fundamental concepts, advanced techniques, and optimization strategies. […] The post How can I Manipulate Python List Elements Using Indexing?

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Python 292

Marktechpost

JANUARY 22, 2024

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency. This latency, primarily resulting from traditional autoregressive decoding where each token is generated sequentially, increases with the complexity and size of the model, posing a significant hurdle to real-time responsiveness.

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Analytics Vidhya

JANUARY 22, 2024

In a recent comedic twist, DPD, the parcel delivery firm, found itself in a digital debacle as its AI-powered online chatbot went rogue, swearing at a customer and composing poems that criticized the company. The incident, triggered by a system update, highlights the potential pitfalls of relying too heavily on artificial intelligence in customer service. […] The post DPD’s AI Chatbot Misadventure: Swearing, Poetry, and a Frustrated Customer appeared first on Analytics Vidhya.

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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

Marktechpost

JANUARY 22, 2024

Many people are now interested in the state space model (SSM) because of how recent research has advanced. Modern SSMs, which derive from the classic state space model, benefit from concurrent training and excel at capturing long-range dependencies. Process sequence data across many activities and modalities using SSM-based methods like linear state-space layers (LSSL), structured state-space sequence model (S4), diagonal state space (DSS), and S4D.

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Analytics Vidhya

JANUARY 22, 2024

Welcome to the AWS Certified Cloud Practitioner (CCP) Quiz – your gateway to exploring the fundamental principles of cloud computing with Amazon Web Services (AWS)! In this knowledge-packed quiz, we’ll navigate the core concepts and services that form the backbone of AWS, empowering you with the skills and insights needed to become a certified cloud […] The post Quiz of the Day (AWS Load Balancer) #16 appeared first on Analytics Vidhya.

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AI AI 285

Marktechpost

JANUARY 22, 2024

In computing, there’s a common challenge when it comes to speeding up the process of running complex language models, like those used in large language understanding tasks. These models, often known as LLMs, require significant computational power, and researchers are always on the lookout for ways to make them faster and more efficient. Some existing methods attempt to speed up these models, but they face limitations, especially when the number of inputs increases.

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Analytics Vidhya

JANUARY 22, 2024

In response to the escalating threat of AI exploitation in the art world, computer scientists at the University of Chicago have introduced Nightshade. This groundbreaking tool aims to protect artists’ intellectual property, especially images from AI copycats. This article explores the mechanics of Nightshade, its role in safeguarding against AI exploitation, and its potential impact […] The post You Can Now Protect Your Art from AI Using Nightshade appeared first on Analytics Vidhya.

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Computer Scientist AI AI Generative AI 279

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

Marktechpost

JANUARY 22, 2024

In a remarkable breakthrough, researchers from Google, Carnegie Mellon University, and Bosch Center for AI have a pioneering method for enhancing the adversarial robustness of deep learning models, showcasing significant advancements and practical implications. To set a headstart, the key takeaways from this research can be placed around the following points: Effortless Robustness through Pretrained Models: The research demonstrates a streamlined approach to achieving top-tier adversarial robust

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Deep Learning AI AI AI Research 130

Analytics Vidhya

JANUARY 22, 2024

Introduction Stability AI has been at the forefront of developing Open Source Diffusion Models like the Stable Diffusion and Stable Diffusion XL, which have brought a revolution to the field of text-to-image generation. Now, the world of text-to-image generation just got a major upgrade with the arrival of Stable Diffusion XL Turbo aka SDXL Turbo […] The post How to Make Text-to-Image Conversion Faster with SDXL Turbo?

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AI AI Python 269

Marktechpost

JANUARY 22, 2024

Model Predictive Control (MPC) has become a key technology in a number of fields, including power systems, robotics, transportation, and process control. Sampling-based MPC has shown effectiveness in applications such as path planning and control, and it is useful as a subroutine in Model-Based Reinforcement Learning (MBRL), all because of its versatility and parallelizability, Despite its strong performance in practice, thorough theoretical knowledge is lacking, particularly with regard to feat

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Analytics Vidhya

JANUARY 22, 2024

Introduction Merging two lists in Python is a fundamental operation that often arises in programming tasks. Whether you’re dealing with data manipulation, algorithm implementation, or any other coding scenario, the ability to combine the contents of two lists efficiently is a valuable skill. In Python, this task can be accomplished using various methods, offering flexibility […] The post How To Merge Two Lists in Python?

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AWS Machine Learning Blog

JANUARY 22, 2024

Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, surpassing traditional optical character recognition (OCR). It can identify, understand, and extract data from tables and forms with remarkable accuracy. Presently, several companies rely on manual extraction methods or basic OCR software, which is tedious and time-consuming, and requires manual configuration that needs updating when the form changes.

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Analytics Vidhya

JANUARY 22, 2024

Introduction In today’s ever-evolving technological landscape, proficiency in using Python for HTTP requests is a vital skill. Whether you’re fetching data from an API, working with databases, or sending user data to a server, effective web communication is paramount. In this article we will use requests module to master the art of handling HTTP requests […] The post HTTP Requests in Python appeared first on Analytics Vidhya.

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Python 260

Marktechpost

JANUARY 22, 2024

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Since the picture annotation defines the standards the model attempts to meet, any label mistakes are likewise replicated. Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included within the image.

Computer Vision 106

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Analytics Vidhya

JANUARY 22, 2024

Introduction Transformers and the Large Language Models have taken the world by storm after they have been introduced in the field of Natural Language Processing (NLP). Since their inception, the field has been quickly evolving with innovations and research that make these LLMs more efficient. These include LoRA(Low-Rank Adaption), Flash Attention, Quantization, and the recent […] The post Solar 10.7B: Comparing Its Performance to Other Notable LLMs appeared first on Analytics Vidhya.

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Natural Language Processing Large Language Models NLP Python 256

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

Extreme Tech

JANUARY 22, 2024

The lawsuit alleged Chrome's 'Incognito' mode wasn’t as private as users were made to believe—something Google now alerts users to with its browser’s new blurb.

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Marktechpost

JANUARY 22, 2024

Artificial Intelligence (AI) and Machine Learning (ML) have grown significantly over the past decade or so, making remarkable progress in almost every field. Be it natural language, mathematical reasoning, or even pharmaceuticals, in today’s age, ML is the driving factor behind innovative solutions in these domains. Chemistry is also one such field where ML has made remarkable inroads, helping researchers in complex tasks like drug discovery, predicting molecular properties, etc.

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Machine Learning ML Algorithm Python 100

Great Learning

JANUARY 22, 2024

Introduction Everyone understands that the greatest method to learn Web Development (or any other technical skill) is to practice it! However, most people, especially novices, mistake focusing solely on studying the principles and delaying starting a project for far too long. Yes, it is important to make your notions as clear as possible to master […] The post Top 25 Web Development Projects for Beginners – 2024 appeared first on Great Learning Blog: Free Resources what Matters to sh

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Software Development 98