Unite.AI

SEPTEMBER 12, 2023

In recent years, the realm of artificial intelligence has witnessed an evolutionary leap with the advent of Generative AI. Characterized by its ability to produce novel outputs, be it text, images, or even code, Generative AI isn't just another tech trend – it's rapidly shaping the way businesses think, operate, and innovate. At the forefront of this transformative wave is Deloitte, with its freshly unveiled report, “ The Generative AI Dossier.” A comprehensive exploration into the m

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Analytics Vidhya

SEPTEMBER 12, 2023

In an enlightening study, AI chatbots have demonstrated their incredible potential by running a hypothetical software company, ChatDev, and developing software from scratch in under seven minutes, all while keeping costs under a dollar. This remarkable achievement, made possible by powerful AI technology like OpenAI‘s ChatGPT, opens new doors in software development.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. IBM and AWS have been working together since 2016 to provide secure, automated solutions for hybrid cloud environments.

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Flipboard

SEPTEMBER 11, 2023

This week will feature a series of public hearings on artificial intelligence. But all eyes will be on the closed-door gathering convened by Senate Majority Leader Chuck Schumer.

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Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Unite.AI

SEPTEMBER 13, 2023

When you hear about security today, it’s often about cybersecurity — especially when AI’s involved. Still, the need for physical protection hasn’t gone away, and AI can improve this side of safety, too. AI security cameras are revolutionizing surveillance for both consumers and businesses. Video doorbells and other smart cameras are some of the most popular smart home devices.

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IBM Journey to AI blog

SEPTEMBER 13, 2023

Organizations are wrestling with a pressing concern: the speed at which they respond to and contain data breaches falls short of the escalating security threats they face. An effective attack surface management (ASM) solution can change this. According to the Cost of a Data Breach 2023 Report by IBM, the average cost of a data breach reached a record high of USD 4.45 million this year.

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Automation 273

Flipboard

SEPTEMBER 14, 2023

The U.S. health sector has struggled to put innovations into practice. AI promises to be no different. But 3 steps can help overcome the obstacles. And the contrasting experiences of electronic health records and minimally invasive surgical removal of the gallbladder can be instructive.

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Unite.AI

SEPTEMBER 12, 2023

Engaging students has always been a Herculean task for educators. Remember those dozing heads and yawns in a traditional classroom? Yeah, they are still around. Teachers try everything – from interactive activities to multimedia presentations, even cracking jokes to lighten the mood. Yet, that 100% engagement score feels as elusive as ever. But what if there were a way to not only grab but also sustain their attention?

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Analytics Vidhya

SEPTEMBER 11, 2023

Introduction Reinforcement Learning from Human Factors/feedback (RLHF) is an emerging field that combines the principles of RL plus human feedback. It will be engineered to optimize decision-making and enhance performance in real-world complex systems. RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategie

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Marktechpost

SEPTEMBER 12, 2023

Image-to-image translation (I2I) is an interesting field within computer vision and machine learning that holds the power to transform visual content from one domain into another seamlessly. This transformative process goes beyond the simple change of pixel values; it entails a profound understanding of the underlying structures, semantics, and styles of images.

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Flipboard

SEPTEMBER 13, 2023

Never-before-seen forms and unexpected connections among proteins revealed by analysis of their shapes. Never-before-seen forms and unexpected connections among proteins revealed by analysis of their shapes.

Machine Learning 182

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Unite.AI

SEPTEMBER 15, 2023

In the fast-evolving world of technology, chatbots have become a mainstay in both professional and personal spheres. Their rapid adoption can be traced back to their ability to simplify complex tasks, provide instant customer service, and even entertain users. But as the technology matured, a more nuanced approach was required to cater to the diverse needs of users across the world.

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Analytics Vidhya

SEPTEMBER 15, 2023

Introduction Generative AI has gained immense popularity in recent years for its ability to create data that closely resembles real-world examples. One of the lesser-explored but highly practical applications of generative AI is anomaly detection using Variational Autoencoders (VAEs). This guide will provide a hands-on approach to building and training a Variational Autoencoder for anomaly […] The post Training a Variational Autoencoder For Anomaly Detection Using TensorFlow appeared first

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

LLM

Marktechpost

SEPTEMBER 12, 2023

Large Language Models have gained a lot of attention in recent times due to their excellent capabilities. LLMs are capable of everything from question answering and content generation to language translation and textual summarization. Recent developments in automatic summarization are largely attributable to a change in strategy from supervised fine-tuning on labeled datasets to the use of Large Language Models like OpenAI developed GPT-4 with zero-shot prompting.

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Flipboard

SEPTEMBER 13, 2023

Washington CNN — Some of the most influential voices in the tech industry are meeting with federal lawmakers Wednesday as the US Senate prepares to draw up legislation regulating the fast-moving artificial intelligence industry.

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Unite.AI

SEPTEMBER 10, 2023

In the modern digital era, data is often likened to oil — a valuable resource that, when refined, can drive innovation, streamline operations, and bolster decision-making processes. However, before data can be analyzed and converted into actionable insights, it must first be effectively sourced and extracted from a myriad of platforms, applications, and systems.

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Analytics Vidhya

SEPTEMBER 13, 2023

Making a career change in data science at 30 isn’t only possible but very unusual. Data science offers exciting possibilities for those with the right skills and mindset, and age must not be a barrier to pursuing your dreams. This guide will explore the steps and strategies for effectively transitioning into a data science profession, […] The post How to Go For a Data Science Career Change at 30?

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Data Science 337

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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

Marktechpost

SEPTEMBER 15, 2023

The arrival of Large Language Models (LLMs) has attracted attention from many fields because of several important factors coming together. These factors include the availability of huge amounts of data, improvements in computer power, and breakthroughs in the design of neural networks. Prominent models like GPT-4, PaLM, and LLaMA have shown that they can do many different tasks really well.

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Flipboard

SEPTEMBER 13, 2023

It’s been 9 months since ChatGPT was released and 7 months since it became the fastest consumer application to reach 100 million monthly active users , ushering in a new era of generative AI. But other than ChatGPT, how are consumers interacting with generative AI (GenAI) products? In which categories do incumbents dominate—and where are new companies breaking out?

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Unite.AI

SEPTEMBER 12, 2023

With videos having an audience reach of 91.8% of Internet users globally, there's no question that video content has become a cornerstone of effective communication. Whether promoting a product, sharing valuable training material, or engaging with your audience on social media, videos offer a dynamic and engaging way to get your message across. However, for many individuals and businesses, daunting challenges have long overshadowed the prospect of creating video content.

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Analytics Vidhya

SEPTEMBER 12, 2023

Introduction Neuroevolution is a captivating field where AI merges neural networks and evolutionary algorithms to nurture its creative abilities. It’s akin to AI’s artistic or musical journey, allowing it to paint masterpieces and compose symphonies. This article delves into neuroevolution, exploring its mechanics, applications, and significance.

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Marktechpost

SEPTEMBER 10, 2023

The most popular neural network architecture for representing neural continuous spatiotemporal fields, also known as neural fields, is the multi-layer perceptron. This is because it can encode continuous signals over arbitrary dimensions, has built-in implicit regularisation, and has a spectral bias that facilitates effective interpolation. Thanks to these exceptional features, MLPs have achieved great success in various applications, including image synthesis, animation, texture creation, and i

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Flipboard

SEPTEMBER 15, 2023

Surveys suggest teachers use generative AI more than students, to create lesson plans or more interesting word problems. Educators say it can save valuable time but must be used carefully.

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Unite.AI

SEPTEMBER 14, 2023

Optical Character Recognition (OCR) has revolutionized the way that businesses automate document processing. However, the quality and accuracy of the technology doesn’t cut it for every application. The more complex the document being processed, the less accurate it becomes. This is especially true for engineering drawings. Although out of the box OCR technologies may not be suited for this task, there are other ways to achieve your document processing goals with OCR.

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Analytics Vidhya

SEPTEMBER 12, 2023

Artificial Intelligence, the driving force behind the technological revolution, is silently draining our water resources. The thirst for power exhibited by AI, including advanced systems like OpenAI’s ChatGPT, is causing an alarming increase in water consumption. In this article, we’ll delve into how AI’s insatiable appetite for energy impacts our environment and what tech giants […] The post AI’s Growing Thirst May Cause Global Water Shortage appeared first on Anal

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Marktechpost

SEPTEMBER 9, 2023

The demand for powerful and versatile language models has become more pressing in natural language processing and artificial intelligence. These models are the backbone of numerous applications, from chatbots and virtual assistants to machine translation and sentiment analysis. However, building language models that can excel in various language tasks remains a complex challenge.

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Flipboard

SEPTEMBER 10, 2023

Meta has been snapping up AI training chips and building out data centers in order to create a more powerful new chatbot it hopes will be as sophisticated as OpenAI’s GPT-4, according to The Wall Street Journal.

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Unite.AI

SEPTEMBER 15, 2023

Data is the lifeblood of the digital economy, and as new technologies emerge and evolve, the demand for faster data transfer rates, lower latencies, and higher compute power at data centers is increasing exponentially. New technologies are pushing the boundaries of data transmission and processing, and adopting open source technologies can help data center operators maximize their current operations and prepare for the future.

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