Sat.Jun 22, 2024 - Fri.Jun 28, 2024

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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments. To navigate this environment successfully, it is important for organizations to look at the core principles of data management.

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How ChatGPT is Transforming Cancer Care

Unite.AI

In recent years, the blend of artificial intelligence and healthcare has led to exciting advancements in cancer care. At the core of this change is generative AI , which can analyze vast amounts of patient data and generate insights that improve diagnosis and treatment. As generative AI continues to evolve, especially in its ability to work with various types of data, it’s opening new possibilities for better diagnoses, more effective treatments, and improved patient outcomes.

ChatGPT 190
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Building a Neobank: A Journey of Innovation and Leadership

Analytics Vidhya

Welcome to the latest episode of “Leading with Data“, where we explore the extraordinary journey of Jaydev Janardhan, CEO of Zopa Bank. From his humble beginnings as an aspiring cricketer to becoming a trailblazer in fintech, Jaydev has revolutionized the banking landscape, dedicated to crafting straightforward and equitable financial solutions.

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Navigating the Challenges of GenAI Implementation

Unite.AI

Generative AI (GenAI)-enabled software development will improve productivity and work efficiency – the question is, how much? Most market research on this topic shows considerable gains in productivity. Research from Harvard found that specialists, depending on the task and seniority, saw a 43% increase in productivity. Likewise, a report from Goldman Sachs suggests that productivity could rise by 1.5 percentage points with GenAI after ten years of broad adoption, equating to almost double th

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

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Tech war escalates: OpenAI shuts door on China

AI News

This week, OpenAI has decisively blocked access to its site from mainland China and Hong Kong, cutting off developers and companies from some of the most advanced AI technologies available today. OpenAI’s move is not surprising given the increasing geopolitical tensions and technology rivalry; however, it represents an inflection point in AI that will further turn up the heat on rather icy tech cold war.

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More Trending

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Similarity and Dissimilarity Measures in Data Science

Analytics Vidhya

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are. In this article, we will explore the […] The post Similarity and Dissimilarity Measures in Data Science appeared first on Analytics Vidhya.

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The Future of Manufacturing: How Digital Twins, 3D AI, Robotics Automation, and Immersive Reality Tech Are Modernizing Industries

Unite.AI

The manufacturing sector today is being driven by rapid advancements in sophisticated technology. Among the most significant contributors to this modernization are Digital Twins, 3D AI, robotics automation, and immersive reality technologies. These innovations are not merely enhancing traditional manufacturing processes but are fundamentally altering how industries approach production, quality control, and overall operational efficiency.

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Could an Apple-Meta partnership redefine the AI landscape?

AI News

Apple has reportedly entered into discussions with Meta to integrate the latter’s generative AI model into its newly unveiled personalised AI system, Apple Intelligence. Sources familiar with the talks have revealed that Apple has also been considering partnerships with startups Anthropic and Perplexity to integrate their generative AI technologies.

Big Data 288
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Applying generative AI to revolutionize telco network operations 

IBM Journey to AI blog

Generative AI is shaping the future of telecommunications network operations. The potential applications for enhancing network operations include predicting the values of key performance indicators (KPIs), forecasting traffic congestion, enabling the move to prescriptive analytics, providing design advisory services and acting as network operations center (NOC) assistants.

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Smart Tools & Strong Teams: A People-First Approach to AI in Sales

Speaker: Matt Sunshine, CEO at The Center for Sales Strategy

AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.

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Automating Web Search Using LangChain and Google Search APIs

Analytics Vidhya

Introduction Artificial intelligence is expanding in the modern world because to a multitude of studies and inventions in the field from various startups and organizations. Researchers and innovators are creating a wide range of tools and technology to support the creation of LLM-powered applications. With the aid of AI and NLP innovations like LangChain and […] The post Automating Web Search Using LangChain and Google Search APIs appeared first on Analytics Vidhya.

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Intel Unveils Groundbreaking Optical Compute Interconnect Chiplet, Revolutionizing AI Data Transmission

Unite.AI

Intel Corporation has reached a revolutionary milestone in integrated photonics technology , Integrated photonics technology involves the integration of photonic devices, such as lasers, modulators, and detectors, onto a single microchip using semiconductor fabrication techniques similar to those used for electronic integrated circuits. This technology allows for the manipulation and transmission of light signals on a micro-scale, offering significant advantages in terms of speed, bandwidth, and

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Think tank calls for AI incident reporting system

AI News

The Centre for Long-Term Resilience (CLTR) has called for a comprehensive incident reporting system to urgently address a critical gap in AI regulation plans. According to the CLTR, AI has a history of failing in unexpected ways, with over 10,000 safety incidents recorded by news outlets in deployed AI systems since 2014. As AI becomes more integrated into society, the frequency and impact of these incidents are likely to increase.

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Top 7 risks to your identity security posture

IBM Journey to AI blog

Detecting and remediating identity misconfigurations and blind spots is critical to an organization’s identity security posture especially as identity has become the new perimeter and a key pillar of an identity fabric. Let’s explore what identity blind spots and misconfigurations are, detail why finding them is essential, and lay out the top seven to avoid.

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AI-Enabled Robotics Software for Manufacturing Automation: Speeding Time-to-Value

Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.

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Everything About CVPR 2024 – The Biggest Computer Vision Conference of the Year

Analytics Vidhya

Introduction The Conference on Computer Vision and Pattern Recognition (CVPR) is undeniably the leading annual event in its field. As expected, CVPR 2024, held from June 17th to 21st at the Seattle Convention Center, USA, proved to be a resounding success. This year’s conference witnessed a record-breaking number of submissions – a staggering 11,532, reflecting […] The post Everything About CVPR 2024 – The Biggest Computer Vision Conference of the Year appeared first on Analyti

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Redirecting Humans with Machines

Unite.AI

The early 1800s heralded the Industrial Revolution in the US, a transformative era driven by technological progress. The introduction of new machinery and manufacturing techniques reshaped the economic terrain, enhancing production efficiency while diminishing the need for manual labor in certain domains. Consequently, this shift resulted in job loss.

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Alibaba Cloud launches English version of AI model hub

AI News

Alibaba Cloud has taken a step towards globalising its AI offerings by unveiling an version of ModelScope , its open-source AI model community. The move aims to bring generative AI capabilities to a wider audience of businesses and developers worldwide. ModelScope, which embodies Alibaba Cloud’s concept of “Model-as-a-Service,” transforms AI models into readily available and deployable services.

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Transcribe and generate subtitles for YouTube videos with Node.js

AssemblyAI

This guide will teach you how to transcribe YouTube videos with Node.js and AssemblyAI. After creating the transcript, you'll learn how to generate SRT subtitles, and lastly, you'll use LeMUR to prompt the video using a Large Language Model (LLM). Step 1: Set up your development environment First, install Node.js 18 or higher on your system.

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The AI Productivity Shift: Whats Working & Whats Next

85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.

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How to Make Stunning Radar Charts in plotly?

Analytics Vidhya

Introduction Radar charts, also referred to as spider plots or star plots, offer a distinctive method for visualizing multivariate data. Unlike traditional cartesian charts, which arrange axes linearly, radar charts position axes radially around a central point. This circular arrangement facilitates the comparison of multiple quantitative variables simultaneously across different categories or dimensions, making radar […] The post How to Make Stunning Radar Charts in plotly?

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AI, ML, and Robotics: New Technological Frontiers in Warehousing

Unite.AI

Warehouse management is an intricate operation that requires balancing many challenges and risks. Customers increasingly expect fast, accurate deliveries, leading many companies to shift toward “micro fulfillment centers” located close to major urban centers. To fulfill orders quickly while making the most of limited warehouse space, organizations are increasingly turning to artificial intelligence (AI), machine learning (ML), and robotics to optimize warehouse operations.

Robotics 184
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SoftBank chief: Forget AGI, ASI will be here within 10 years

AI News

SoftBank founder and CEO Masayoshi Son has claimed that artificial super intelligence (ASI) could be a reality within the next decade. Speaking at SoftBank’s annual meeting in Tokyo on June 21, Son painted a picture of a future where AI far surpasses human intelligence, potentially revolutionising life as we know it. Son asserted that by 2030, AI could be “one to 10 times smarter than humans,” and by 2035, it might reach a staggering “10,000 times smarter” than huma

Big Data 273
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How to Do Hotword Detection with Streaming Speech-to-Text and Go

AssemblyAI

If you've ever wanted to create a personal AI assistant like Siri or Alexa, the first step is to figure out how to trigger the AI using a specific word or phrase (also known as a hotword). All of the prevalent AI systems use a similar approach; for Alexa, the hotword is "Alexa," and for Siri, the hotword is "Hey Siri." In this tutorial, you'll learn how to implement a hotword detection system using AssemblyAI's Streaming Speech-to-Text API.

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Agentic AI Explained: Smarter Conversations, Better Experiences

AI has transformed how enterprises deliver customer service, enabling faster engagement, problem-solving, and cost savings. However, traditional AI Agents often rely on rigid conversation flows, risking customer trust when conversations stray from predefined paths. These limitations prevent businesses from fully realizing AI’s potential for cost-efficiency and productivity.

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Exploring Microsoft’s UDOP: Integrated DocumentAI

Analytics Vidhya

Introduction Microsoft Research has introduced a groundbreaking Document AI model called Universal Document Processing (UDOP), which represents a significant leap in AI capabilities. UDOP integrates text, image, and layout analysis in a single framework, enabling the understanding and generation of documents with unprecedented accuracy and efficiency.

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David Fattal, Co-Founder & Chief Technical Officer at Leia – Interview Series

Unite.AI

David Fattal is the CEO and founder at Leia , the leading provider of glasses-free 3D display hardware and software solutions. He previously spent nine years at HP Labs working on various aspects of quantum computing and photonics, and specializing in the manipulation of light at the nanoscale. He holds a PhD in Physics from Stanford University and a BS in theoretical physics from Ecole Polytechnique, France.

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SoftBank launches healthcare venture with Tempus AI

AI News

SoftBank Group, the Japanese technology investment firm, has announced a strategic joint venture with Tempus AI , a company specialising in AI-driven medical data analysis and treatment recommendations. This partnership was revealed by SoftBank’s CEO, Masayoshi Son , during a briefing in Tokyo, marking another significant move in SoftBank’s recent series of AI investments as the company ramps up its investment activities following a period of relative quiet.

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Top Speaker Diarization Libraries and APIs in 2023

AssemblyAI

In its simplest form, Speaker Diarization answers the question: who spoke when? In the field of Automatic Speech Recognition (ASR) , Speaker Diarization refers to (A) the number of speakers that can be automatically detected in an audio file, and (B) the words that can be assigned to the correct speaker in that file. Today, many modern Speech-to-Text APIs and Speaker Diarization libraries apply advanced Deep Learning models to perform tasks (A) and (B) near human-level accuracy, significantly in

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New Research-Backed Strategies to Empower Managers as Culture & Engagement Leaders

Speaker: Beth Sunshine, SVP, Up Your Culture

When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.

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Revolutionizing Creative Sketch Generation with DCGAN

Analytics Vidhya

Introduction The domain of artificial intelligence has witnessed significant growth and expansion into creative sectors like sketching and doodling. In sketching, conventional AI approaches have mainly concentrated on imitating ordinary and real-life sketches. Still, recent developments in Generative Adversarial Networks (GANs) present an innovative perspective towards creative sketch production.

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Claude 3.5 Sonnet: Redefining the Frontiers of AI Problem-Solving

Unite.AI

Creative problem-solving, traditionally seen as a hallmark of human intelligence, is undergoing a profound transformation. Generative AI, once believed to be just a statistical tool for word patterns, has now become a new battlefield in this arena. Anthropic, once an underdog in this arena, is now starting to dominate the technology giants, including OpenAI, Google, and Meta.

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Apple’s EU AI delay: Innovation vs regulation

AI News

Apple announced on Friday that it would block its highly anticipated Apple Intelligence AI features, iPhone Mirroring, and SharePlay Screen Sharing for EU users. While not entirely unexpected, this decision underscores the growing tension between rapid technological advancement and the EU’s stringent regulatory framework , particularly the Digital Markets Act (DMA) and General Data Protection Regulation (GDPR).

Big Data 216