Wed.Nov 15, 2023

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Generative AI: A Game Changer for HR in 2024

Unite.AI

In an era marked by rapid changes in the workforce, a pivotal study conducted by CYPHER Learning , a leader in modern learning platforms, reveals significant insights into the challenges and attitudes of HR and business leaders towards generative AI. This study, spotlighting the intersection of upskilling needs and AI technology, is reshaping how organizations approach learning and development (L&D).

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Watsonx: a game changer for embedding generative AI into commercial solutions

IBM Journey to AI blog

IBM watsonx is changing the game for enterprises of all shapes and sizes, making it easy for them to embed generative AI into their operations. This week, the CEO of WellnessWits, an IBM Business Partner, announced they embed watsonx in their app to help patients ask questions about chronic disease and more easily schedule appointments with physicians.

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Consider the Risks Before You Get on Bard With AI Extensions

Unite.AI

Google recently announced the full-scale launch of Bard Extensions, integrating the conversational generative AI (GenAI) tool into their other services. Bard can now leverage users’ personal data to perform myriad tasks – organize emails, book flights, plan trips, craft message responses, and much more. With Google’s services already deeply intertwined in our daily lives, this integration marks a true step forward for practical daily applications of GenAI, creating more efficient and productive

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Wolfram Research: Injecting reliability into generative AI

AI News

The hype surrounding generative AI and the potential of large language models (LLMs), spearheaded by OpenAI’s ChatGPT, appeared at one stage to be practically insurmountable. It was certainly inescapable. More than one in four dollars invested in US startups this year went to an AI-related company , while OpenAI revealed at its recent developer conference that ChatGPT continues to be one of the fastest-growing services of all time.

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How To Get Promoted In Product Management

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.

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Microsoft is finally making custom chips — and they’re all about AI

Flipboard

The Azure Maia 100 and Cobalt 100 chips are the first two custom silicon chips designed by Microsoft for its cloud infrastructure. The rumors are true: Microsoft has built its own custom AI chip that can be used to train large language models and potentially avoid a costly reliance on Nvidia.

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What CEOs Need to Know About the Costs of Adopting GenAI

Flipboard

CEOs must not overlook the intricacies of genAI costs. CEOs must integrate the multifaceted costs into their strategic vision, acknowledging nuances such as inference cost, fine-tuning cost, prompt engineering cost, cloud expenses, talent costs, and operation costs. Additionally, CEOs need to be vigilant about often overlooked expenses, including infrastructure overhaul, data security, and ethical considerations.

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Microsoft Ignite 2023: AI transformation and the technology driving change

Microsoft AI

As we reach the end of 2023, nearly every industry is undergoing a collective transformation – discovering entirely new ways of working due to AI advancements. Microsoft Ignite is a showcase of the advances being developed to help customers, partners and developers achieve the total value of Microsoft’s technology and reshape the way work is.

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Nanowire Network Mimics Brain, Learns Handwriting with 93.4% Accuracy - Neuroscience News

Flipboard

Researchers developed an experimental computing system, resembling a biological brain, that successfully identified handwritten numbers with a 93.4% accuracy rate.

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What Is Retrieval-Augmented Generation?

NVIDIA

To understand the latest advance in generative AI , imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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The Biggest Questions: Is it possible to really understand someone else’s mind?

Flipboard

How we think, feel and experience the world is a mystery to everyone but us. But technology may be starting to help us understand the minds of others.

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New NVIDIA H100, H200 Tensor Core GPU Instances Coming to Microsoft Azure to Accelerate AI Workloads

NVIDIA

As NVIDIA continues to collaborate with Microsoft to build state-of-the-art AI infrastructure, Microsoft is introducing additional H100-based virtual machines to Microsoft Azure to accelerate demanding AI workloads. At its Ignite conference in Seattle today, Microsoft announced its new NC H100 v5 VM series for Azure, the industry’s first cloud instances featuring NVIDIA H100 NVL GPUs.

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Microsoft goes all-in on Gen AI: Everything it announced at Ignite

Flipboard

Microsoft’s annual Ignite conference, held in Seattle this year, was packed this morning with announcements and updates on the company’s vision and technology around generative AI.

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3D Body Models Now Have Sound: Meta AI Introduces an Artificial Intelligence Model that can Generate Accurate 3D Spatial Audio for Full Human Bodies

Marktechpost

The constant development of intelligent systems replicating and comprehending human behavior has led to significant advancements in the complementary fields of Computer Vision and Artificial Intelligence (AI). Machine learning models are gaining immense popularity while bridging the gap between reality and virtuality. Although 3D human body modeling has received a lot of attention in the field of computer vision, the task of modeling the acoustic side and producing 3D spatial audio from speech a

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Understanding User Needs and Satisfying Them

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.

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4 Top A.I. Business Use Cases, According to a Microsoft A.I. Expert

Flipboard

Here's how businesses of any size should think about using artificial intelligence to save time and improve productivity. In 2023, Microsoft went all-in on A.I. CEO Satya Nadella announced back in January that every Microsoft product would be updated with A.I.

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Transforming the future of music creation

DeepMind

Announcing our most advanced music generation model and two new AI experiments, designed to open a new playground for creativity

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Microsoft looks to free itself from GPU shackles by designing custom AI chips

Flipboard

Most companies developing AI models, particularly generative AI models like ChatGPT, GPT-4 Turbo and Stable Diffusion, rely heavily on GPUs. GPUs’ ability to perform many computations in parallel make them well-suited to training — and running — today’s most capable AI.

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Ringing in the Future: NVIDIA and Amdocs Bring Custom Generative AI to Global Telco Industry

NVIDIA

The telecommunications industry — the backbone of today’s interconnected world — is valued at a staggering $1.7 trillion globally, according to IDC. It’s a massive operation, as telcos process hundreds of petabytes of data in their networks each day. That magnitude is only increasing, as the total amount of data transacted globally is forecast to grow to more than 180 zettabytes by 2025.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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The best AI tools for writing a research paper

Flipboard

There's no need to spend hours poring through research journals. Research papers may be the most dreaded of academic assignments, even before you hit the Master’s or PhD level, never mind your post-grad career.

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Data Intelligence Platforms

databricks

The observation that "software is eating the world" has shaped the modern tech industry. Today, software is ubiquitous in our lives, from the.

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Humane’s Ai Pin is a wearable personal assistant, powered by artificial intelligence

Flipboard

Humane wants the smartphone in your pocket to disappear. The start-up’s first production, the Ai Pin, is its first step on the road to a diaphanous blend of the real and the digital, a personal AI device that you wear and communicate with through speech and gesture.

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NVIDIA Fast-Tracks Custom Generative AI Model Development for Enterprises

NVIDIA

Today’s landscape of free, open-source large language models (LLMs) is like an all-you-can-eat buffet for enterprises. This abundance can be overwhelming for developers building custom generative AI applications, as they need to navigate unique project and business requirements, including compatibility, security and the data used to train the models.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Exclusive: New partnership aims to help doctors harness AI to diagnose patients

Flipboard

Scientific information and data analytics giant Elsevier is partnering with a medical startup to give doctors the ability to use generative AI to …

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Top Important LLM Papers for the Week from 06/11 to 12/11

Towards AI

Last Updated on November 16, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, it’s important for researchers and engineers to stay informed on the latest progress.

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What corporations aren't disclosing about their carbon dioxide emissions

Flipboard

A new study estimates most corporations are not reporting the full scope of their carbon footprint with many claiming to be "green" despite a lack of …

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Unlock Advancing AI Video Understanding with MM-VID for GPT-4V(ision)

Marktechpost

Across the globe, individuals create myriad videos daily, including user-generated live streams, video-game live streams, short clips, movies, sports broadcasts, and advertising. As a versatile medium, videos convey information and content through various modalities, such as text, visuals, and audio. Developing methods capable of learning from these diverse modalities is crucial for designing cognitive machines with enhanced capabilities to analyze uncurated real-world videos, transcending the l

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Microsoft debuts its own chips for enterprise AI: ‘Maia’ and ‘Cobalt’

Flipboard

Microsoft is moving to strengthen its computing infrastructure play with the announcement of two new in-house chips for enterprises: Azure Maia 100 and Azure Cobalt 100.

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Google AI Proposes Easy End-to-End Diffusion-based Text to Speech E3-TTS: A Simple and Efficient End-to-End Text-to-Speech Model Based on Diffusion

Marktechpost

In machine learning, a diffusion model is a generative model commonly used for image and audio generation tasks. The diffusion model uses a diffusion process, transforming a complex data distribution into simpler distributions. The key advantage lies in its ability to generate high-quality outputs, particularly in tasks like image and audio synthesis.

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Bing Chat now goes by Copilot and feels a lot more like ChatGPT

Flipboard

Microsoft makes its generative AI tool more of a standalone experience -- including its own web page, no Bing required.

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