Unite.AI

OCTOBER 2, 2024

For more than three decades, mobile network operators (MNOs) have been channeling their research and development efforts into five key areas: messaging, roaming, policy, signaling, and clearing. Given the vast quantities of data processed through these systems, it's only natural that MNOs are increasingly focusing on leveraging artificial intelligence (AI) to enhance features, maximize resource efficiency, and safeguard customer data, all while fulfilling their service commitments.

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Analytics Vidhya

OCTOBER 2, 2024

Introduction Never would have the inventor of email –Ray Tomlinson– thought of how far this piece of tech would reach in the future. Today, email is the prime pillar of corporate and professional communications and is used in innumerable facets of the working world. And this has propelled the creation of a whole set of […] The post Automating Email Sorting and Labelling with CrewAI appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 2, 2024

In today’s data-driven world, geospatial information is essential for gaining insights into climate change, urban growth, disaster management, and global security. Despite its vast potential, working with geospatial data presents significant challenges due to its size, complexity, and lack of standardization. Machine learning can analyze these datasets yet preparing them for analysis can be time-consuming and cumbersome.

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IBM Journey to AI blog

OCTOBER 2, 2024

Business intelligence (BI) users often struggle to access the high-quality, relevant data necessary to inform strategic decision making. These professionals encounter a range of issues when attempting to source the data they need, including: Data accessibility issues: The inability to locate and access specific data due to its location in siloed systems or the need for multiple permissions, resulting in bottlenecks and delays.

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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!

AI

Unite.AI

OCTOBER 2, 2024

Many of today's employee engagement platforms are leveraging artificial intelligence to improve how organizations connect with, develop, and retain their workforce. These AI-powered solutions are transforming traditional HR processes, offering unprecedented insights into employee sentiment, streamlining onboarding procedures, and personalizing learning and development initiatives.

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Unite.AI

OCTOBER 2, 2024

Tal Kreisler is the CEO and Co-Founder of NoTraffic , a platform that digitizes road infrastructure management, allowing cities to manage their entire grid at the push of a button. NoTraffic transforms intersections into intelligent hubs capable of real-time traffic management. Their AI-powered platform leverages edge computing to process data locally, ensuring rapid response to changing traffic conditions.

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Marktechpost

OCTOBER 2, 2024

Large Language Models (LLMs) have made significant strides in various Natural Language Processing tasks, yet they still struggle with mathematics and complex logical reasoning. Chain-of-Thought (CoT) prompting has emerged as a promising approach to enhance reasoning capabilities by incorporating intermediate steps. However, LLMs often exhibit unfaithful reasoning, where conclusions don’t align with the generated reasoning chain.

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Extreme Tech

OCTOBER 2, 2024

Retro Game Corps, a channel with over half a million subscribers, has received copyright strikes for at least two emulation-related videos.

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Marktechpost

OCTOBER 2, 2024

LLMs, characterized by their massive parameter sizes, often lead to inefficiencies in deployment due to high memory and computational demands. One practical solution is semi-structured pruning, particularly the N: M sparsity pattern, which enhances efficiency by maintaining N non-zero values among M parameters. While hardware-friendly, such as for GPUs, this approach faces challenges due to the vast parameter space in LLMs.

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databricks

OCTOBER 2, 2024

Introduction Applying Large Language Models (LLMs) for code generation is becoming increasingly prevalent, as it helps you code faster and smarter. A primary.

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Marktechpost

OCTOBER 2, 2024

Instruction-tuned LMs have shown remarkable zero-shot generalization but often fail on tasks outside their training data. These LMs, built on large datasets and billions of parameters, excel in In-Context Learning (ICL), generating responses based on a few examples without re-training. However, the training dataset’s scope limits its effectiveness on unfamiliar tasks.

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NVIDIA

OCTOBER 2, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. From games and content creation apps to software development and productivity tools, AI is increasingly being integrated into applications to enhance user experiences and boost efficiency.

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Marktechpost

OCTOBER 2, 2024

ChatGPT is a versatile tool with immense potential for businesses across diverse industries. Its capability to comprehend and generate human-like text enables its use in numerous applications, making it valuable for companies aiming to optimize operations, boost customer engagement, and foster innovation. Let’s look at the top 10 ChatGPT use cases for businesses, showcasing how it can be effectively leveraged to meet various needs.

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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.

AI

Extreme Tech

OCTOBER 2, 2024

Though a bit unwieldy, the headset is the first-ever device to predict strokes non-invasively.

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Artificial Corner

OCTOBER 2, 2024

Image via Shutterstock Python is known for being a slow programming language. Although it’s a fact that Python is slower than other languages, there are some ways to speed up our Python code. How? Simple, optimize your code. If we write code that consumes little memory and storage, we’ll not only get the job done but also make our Python code run faster.

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Extreme Tech

OCTOBER 2, 2024

The technology is no longer in preview and can be used by anyone with a late-model Radeon GPU.

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databricks

OCTOBER 2, 2024

We are thrilled to announce that embedding for AI/BI Dashboards is now available. Embedding enables you to seamlessly integrate Databricks AI/BI Dashboards into.

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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.

Extreme Tech

OCTOBER 2, 2024

The long-awaited update includes changes to the Start menu, command prompt, and AI features.

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Marktechpost

OCTOBER 2, 2024

Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates biased and undesirable responses by the user. There is a need to develop a model that can efficiently adapt to user preferences in real time by integrating algorithms that can interfere at inference time.

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Extreme Tech

OCTOBER 2, 2024

It'll work with Lunar Lake, Meteor Lake, or with an Arc GPU.

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Marktechpost

OCTOBER 2, 2024

Recent advances in autoregressive language models have brought about an amazing transformation in the field of Natural Language Processing (NLP). These models, such as GPT and others, have exhibited excellent performance in text creation tasks, including question-answering and summarization. However, their high inference latency poses a significant barrier to their general application, particularly in highly deep models with hundreds of billions of parameters.

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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.

Business Intelligence

Extreme Tech

OCTOBER 2, 2024

AMD is looking to match Intel's memory speeds with its new X870 platform.

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Marktechpost

OCTOBER 2, 2024

Large language models (LLMs) have advanced significantly in recent years. However, its real-world applications are restricted due to substantial processing power and memory requirements. The need to make LLMs more accessible on smaller and resource-limited devices drives the development of more efficient frameworks for model inference and deployment.

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Extreme Tech

OCTOBER 2, 2024

Double-star systems that sit near the center of Messier 87 are in the plasma jet splash zone, potentially making novae more likely.

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Marktechpost

OCTOBER 2, 2024

Large language models (LLMs) have garnered significant attention for their ability to understand and generate human-like text. These models possess the unique capability to encode factual knowledge effectively, thanks to the vast amount of data they are trained on. This ability is crucial in various applications, ranging from natural language processing (NLP) tasks to more advanced forms of artificial intelligence.

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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.

ODSC - Open Data Science

OCTOBER 2, 2024

Weren’t able to join us for ODSC Europe 2024 virtual ? Or perhaps you just want to see the slides again? Either way, look no further! Below you’ll find a selection of AI slide decks from Europe’s hands-on deep dives, immersive talks, and more! Unlocking Unstructured Data: Bridging Social (Survey) Sciences and NLP/LLM Research Through Open Science Prof.

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SAS Software

OCTOBER 2, 2024

We know that building trust in technology is a big deal. It’s no longer enough for AI to just work – we need to understand how it works, what it is doing and whether it’s performing as expected. That’s where model cards come in. If you remember from our previous [.

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Extreme Tech

OCTOBER 2, 2024

Budget-friendly, reliable, and portable.

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