Tue.Feb 06, 2024

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Cyber recovery vs. disaster recovery: What’s the difference? 

IBM Journey to AI blog

Today’s enterprises face a broad range of threats to their security, assets and critical business processes. Whether preparing to face a complex cyberattack or natural disaster, taking a proactive approach and selecting the right business continuity disaster recovery (BCDR) solution is critical to increasing adaptability and resilience. Cybersecurity and cyber recovery are types of disaster recovery (DR) practices that focus on attempts to steal, expose, alter, disable or destroy critical

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Hugging Face Introduces Open Source Competitor to OpenAI’s GPT Store

Analytics Vidhya

In a move that signals a significant shift in the landscape of AI development, Hugging Face has launched its latest offering, ‘Hugging Chat Assistants.’ This open-source platform aims to rival OpenAI’s GPT Store, providing users with an accessible and free alternative for creating customized AI chatbots. Also Read: What is the GPT Store?

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10 Best AI Pitch Deck Builders

Unite.AI

In the dynamic world of startups and entrepreneurship, making a compelling pitch is crucial for securing funding and support. The art of crafting an effective pitch deck has evolved, with AI-powered tools revolutionizing the way entrepreneurs and businesses present their ideas. These innovative platforms not only streamline the process of creating impactful presentations but also infuse them with data-driven insights and cutting-edge designs.

AI 290
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3 Simple Ways to Convert Bytes to String in Python

Analytics Vidhya

Introduction Converting bytes to a string is a common task in Python, especially when working with data from external sources or APIs. This article delves into three straightforward methods for seamlessly performing this conversion in Python. Whether you’re a novice coder or an experienced developer, mastering these techniques will enhance your proficiency in handling byte […] The post 3 Simple Ways to Convert Bytes to String in Python appeared first on Analytics Vidhya.

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Don't Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

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UK announces over £100M to support ‘agile’ AI regulation

AI News

The UK government has announced over £100 million in new funding to support an “agile” approach to AI regulation. This includes £10 million to prepare and upskill regulators to address the risks and opportunities of AI across sectors like telecoms, healthcare, and education. The investment comes at a vital time, as research from Thoughtworks shows 91% of British people argue that government regulations must do more to hold businesses accountable for their AI systems.

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More Trending

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10 Best AI Pitch Deck Generators (February 2024)

Unite.AI

In the dynamic world of startups and entrepreneurship, making a compelling pitch is crucial for securing funding and support. The art of crafting an effective pitch deck has evolved, with AI-powered tools revolutionizing the way entrepreneurs and businesses present their ideas. These innovative platforms not only streamline the process of creating impactful presentations but also infuse them with data-driven insights and cutting-edge designs.

AI 244
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AI Car Pitched at Shark Tank India

Analytics Vidhya

On a recent episode of Shark Tank India season 3, viewers witnessed the unveiling of a groundbreaking innovation: an AI car crafted in the humble confines of a backyard garage in Yavatmal, Maharashtra. Harshal Mahadev Nakshane is the visionary behind this pioneering project. He aims to revolutionize the automotive industry with his fusion of artificial […] The post AI Car Pitched at Shark Tank India appeared first on Analytics Vidhya.

AI 301
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Not every DNS traffic spike is a DDoS attack 

IBM Journey to AI blog

You’re a network administrator going about your normal business. Suddenly, you’re seeing a huge spike in inbound traffic to your website, your application or your web service. You immediately shift resources around to cope with the changing pattern, using automated traffic steering to shed load away from overburdened servers. After the immediate danger has passed, your boss asks: what just happened?

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Accelerate Neural Network Training Using the Net2Net Method

Analytics Vidhya

Introduction Creating new neural network architectures can be quite time-consuming, especially in real-world workflows where numerous models are trained during the experimentation and design phase. In addition to being wasteful, the traditional method of training every new model from scratch slows down the entire design process. In a normal workflow, several models train, with each attempting to […] The post Accelerate Neural Network Training Using the Net2Net Method appeared first on Anal

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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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Leland Hyman, Lead Data Scientist at Sherlock Biosciences – Interview Series

Unite.AI

Leland Hyman is the Lead Data Scientist at Sherlock Biosciences. He is an experienced computer scientist and researcher with a background in machine learning and molecular diagnostics. Sherlock Biosciences is a biotechnology company based in Cambridge, Massachusetts developing diagnostic tests using CRISPR. They aim to disrupt molecular diagnostics with better, faster, affordable tests.

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5 WhatsApp Groups for Data Science and ML Enthusiasts

Analytics Vidhya

Introduction In the fast-paced world of Data Science and Machine Learning, staying updated with the latest trends, tools, and discussions is crucial for enthusiasts and professionals alike. WhatsApp, the ubiquitous messaging platform, has emerged as an unexpected yet potent medium for knowledge sharing and networking. In this blog, we’ll look into the top 5 WhatsApp […] The post 5 WhatsApp Groups for Data Science and ML Enthusiasts appeared first on Analytics Vidhya.

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Comparing Quantization Techniques for Scalable Vector Search

Unite.AI

Imagine looking for similar things based on deeper insights instead of just keywords. That's what vector databases and similarity searches help with. Vector databases enable vector similarity search. It uses the distance between vectors to find data points in search queries. However, similarity search in high-dimensional data can be slow and resource-intensive.

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LLMs Research Paper in January 2024: Breakthroughs in Size Reduction and Enhanced Performance

Analytics Vidhya

Introduction 2023 has been a year of transformation and advancement for Artificial Intelligence (AI), marking significant strides in the field’s evolution. The relentless pursuit of innovation and integration of state-of-the-art technologies have propelled AI with capability and applicability. This drive for advancement has manifested notably in data science, where Large Language Models (LLMs) emerged as […] The post LLMs Research Paper in January 2024: Breakthroughs in Size Reductio

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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Zyphra Open-Sources BlackMamba: A Novel Architecture that Combines the Mamba SSM with MoE to Obtain the Benefits of Both

Marktechpost

Processing extensive sequences of linguistic data has been a significant hurdle, with traditional transformer models often buckling under the weight of computational and memory demands. This limitation is primarily due to the quadratic complexity of the attention mechanisms these models rely on, which scales poorly as sequence length increases. The introduction of State Space Models (SSMs) and mixture-of-experts (MoE) models offered a glimpse into potential solutions, with the former providing a

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All About Python Set difference()

Analytics Vidhya

Introduction Sets are an essential data structure in Python that allows you to store unique and unordered elements. They provide various methods to perform set operations efficiently. One such method is the difference() method, which allows you to find the difference between two sets. They’re your go-to for storing unique, unordered elements. Plus, they’ve got […] The post All About Python Set difference() appeared first on Analytics Vidhya.

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Language Bias, Be Gone! CroissantLLM’s Balanced Bilingual Approach is Here to Stay

Marktechpost

In an era where language models (LMs) predominantly cater to English, a revolutionary stride has been made with the introduction of CroissantLLM. This model bridges the linguistic divide by offering robust bilingual capabilities in both English and French. This development marks a significant departure from conventional models, often biased towards English, limiting their applicability in diverse linguistic landscapes.

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5 Methods to Add new keys to a dictionary in Python

Analytics Vidhya

Introduction In Python, a dictionary is a versatile data structure that allows us to store and retrieve data using key-value pairs. It is an unordered collection of elements where a key and its corresponding value represent each element. Adding new keys to a dictionary is a common operation we often encounter while working with Python […] The post 5 Methods to Add new keys to a dictionary in Python appeared first on Analytics Vidhya.

Python 295
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How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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CERN Proposes Massive $15B Supercollider to Find Hidden 95% of Universe

Extreme Tech

Three times bigger than the world’s current largest particle accelerator, the Future Circular Collider would focus on tracking down dark matter and dark energy.

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30+ Multiple-Choice Questions on Python Variables

Analytics Vidhya

Python variables play a crucial role in programming as they serve as containers to store and manipulate data during program execution. Understanding how variables work in Python is fundamental for anyone learning the language. This set of multiple-choice questions aims to test your knowledge of Python variables, covering topics ranging from basic variable creation to […] The post 30+ Multiple-Choice Questions on Python Variables appeared first on Analytics Vidhya.

Python 295
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Village by village, creating the building blocks for AI tools with work that also educates

Microsoft AI

Karya is employing rural Indians to build AI datasets for low-resourced languages in India, verified with Microsoft's Azure OpenAI Service.

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30+ MCQs on Basic Python with Answers

Analytics Vidhya

In the rapidly evolving field of data science, Python has emerged as a cornerstone programming language. It is valued for its versatility, extensive library support, and ease of use in handling complex data tasks. As the preferred programming language for data manipulation, analysis, and visualization, proficiency in Python is a crucial skill sought after by […] The post 30+ MCQs on Basic Python with Answers appeared first on Analytics Vidhya.

Python 294
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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Meet Symbolicai: A Machine Learning Framework that Combines Generative Models and Solvers for Logic-Based Approaches

Marktechpost

Generative AI has recently seen a boom, with large language models (LLMs) showing broad applicability across many fields. These models have improved the performance of numerous tools, including those that facilitate interactions based on searches, program synthesis, chat, and many more. Also, language-based methods have made it easier to link many modalities, which has led to several transformations, such as text-to-code, text-to-3D, text-to-audio, text-to-image, and video.

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Russia and China Deepen Collaboration on Military Use of Artificial Intelligence

Analytics Vidhya

China and Russia have taken significant steps to intensify their collaboration on the military application of artificial intelligence (AI), marking a strategic move that could reshape future warfare. During recent talks in Beijing, officials from both nations exchanged insights and agreed to enhance coordination within international forums. This development underscores the growing importance of AI […] The post Russia and China Deepen Collaboration on Military Use of Artificial Intelligence

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle – the limited availability of training data. Collecting a large, diverse, and accurately annotated dataset consisting of pairs of images and corresponding segmentation masks can be time-consuming, expensive, and challenging due to privacy concerns.

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7 Ways to Convert String to Bytes in Python

Analytics Vidhya

Introduction In programming, converting data from one format to another is crucial. One such conversion that often arises is converting a string to bytes. This process is essential in Python for various reasons, including data encryption, network communication, and file handling. In this article, we will explore the 7 methods of converting strings to bytes […] The post 7 Ways to Convert String to Bytes in Python appeared first on Analytics Vidhya.

Python 281
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11 KPIs for Measuring Innovation Success

Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning Blog

This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture. Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications,

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Google to Replace Bard with Gemini

Analytics Vidhya

Google is poised to revolutionize its AI landscape with the introduction of Gemini Advanced, set to replace the current Google Bard AI search engine. This shift marks a significant leap forward in AI technology, promising enhanced capabilities and a seamless user experience. Let’s delve into the details of this transformative update and its implications.

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Apple Researchers Introduce LiDAR: A Metric for Assessing Quality of Representations in Joint Embedding JE Architectures

Marktechpost

Self-supervised learning (SSL) has proven to be an indispensable technique in AI, particularly in pretraining representations on vast, unlabeled datasets. This significantly reduces the dependency on labeled data, often a major bottleneck in machine learning. Despite the merits, a major challenge in SSL, particularly in Joint Embedding (JE) architectures, is evaluating the quality of learned representations without relying on downstream tasks and annotated datasets.