Tue.Sep 17, 2024

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SolarWinds: IT professionals want stronger AI regulation

AI News

A new survey from SolarWinds has unveiled a resounding call for increased government oversight of AI, with 88% of IT professionals advocating for stronger regulation. The study, which polled nearly 700 IT experts, highlights security as the paramount concern. An overwhelming 72% of respondents emphasised the critical need for measures to secure infrastructure.

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Vector Streaming: Memory-efficient Indexing with Rust

Analytics Vidhya

Introduction Vector streaming in EmbedAnything is being introduced, a feature designed to optimize large-scale document embedding. Enabling asynchronous chunking and embedding using Rust’s concurrency reduces memory usage and speeds up the process. Today, I will show how to integrate it with the Weaviate Vector Database for seamless image embedding and search.

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Non-fiction books that explore AI’s impact on society 

AI News

Artificial Intelligence (AI) is code or technologies that perform complex calculations, an area that encompasses simulations, data processing and analytics. AI has increasingly grown in importance, becoming a game changer in many industries, including healthcare, education and finance. The use of AI has been proven to double levels of effectiveness, efficiency and accuracy in many processes, and reduced cost in different market sectors.

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Why data security is critical to AI

IBM Journey to AI blog

Data is the new oil. It fuels our economy and drives new technology—notably, generative AI. However, for AI to be widely adopted, it must be trustworthy and secure. As IBM’s latest Cost of a Data Breach Report shows, business disruptions push breach costs and regulatory fines to new heights, with the average cost of a data breach reaching USD 4.88 million.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Babbel Review: Why It Beats Duolingo for Serious Learners

Unite.AI

Have you ever found yourself stumbling over words in a foreign language, embarrassment bubbling up as you struggle to express a simple thought? You're not alone. Did you know that 75% of English speakers worldwide are non-native ? Language learning can often feel like an uphill battle, whether it's the sinking feeling when you can't find the right word, the frustration of being misunderstood due to pronunciation, or the awkwardness of navigating unfamiliar cultural norms.

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Cybord Secures $8.7M in Series A Funding to Revolutionize Electronics Manufacturing with Traceability

Unite.AI

Cybord , a company at the forefront of visual AI technology for electronic manufacturing, has raised $8.7 million in a Series A funding round. The funding, led by Capri Ventures with participation from Ocean Azul Partners, IL Ventures, and NextLeap Ventures, will enable Cybord to expand its operations and global reach, providing manufacturers with advanced tools to ensure the quality, authenticity, and traceability of electronic components.

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IBM experts break down LLM benchmarks and best practices

IBM Journey to AI blog

On September 5, AI writing startup HyperWrite’s Reflection 70B, touted by CEO Matt Shumer as “the world’s top open-source model,” set the tech world abuzz. In his announcement on X, Shumer said it could hold its own against top closed-source models, adding that it “beats GPT-4o on every benchmark tested” and “clobbers Llama 3.1 405B.

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Nabil Hannan, Field CISO at NetSPI – Interview Series

Unite.AI

Nabil Hannan is the Field CISO (Chief Information Security Officer) at NetSPI. He leads the company’s advisory consulting practice, focusing on helping clients solve their cyber security assessment and threat andvulnerability management needs. His background is in building and improving effective software security initiatives, with deep expertise in the financial services sector.

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Understanding the Inevitable Nature of Hallucinations in Large Language Models: A Call for Realistic Expectations and Management Strategies

Marktechpost

Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks. Hallucinations, defined as plausible but incorrect information generated by models, emerged as a central concern.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Why Silicon Valley Can’t “Move Fast and Break Things” When It Comes to AI

Unite.AI

People say that Silicon Valley has matured beyond the hotheaded mindset of “move fast, break things, then fix them later,” and that companies have adopted a slower, more responsible approach to building the future of our industry. Unfortunately, current trends tell a different story. Despite the lip service, the way companies build things has yet to actually change.

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New AI Innovation Hub in Tunisia Drives Technological Advancement Across Africa

NVIDIA

A new AI innovation hub for developers across Tunisia launched today in Novation City, a technology park that’s designed to cultivate a vibrant, innovation ecosystem in mechatronics — an industry encompassing IT, mechanics and electronics — and to foster synergy between education, research and industry in the North African country. Built in collaboration with the NVIDIA Deep Learning Institute (DLI), the hub offers the training, technologies and business networks needed to help drive AI adoption

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IBM Planning Analytics: The scalable solution for enterprise growth

IBM Journey to AI blog

Companies need powerful tools to handle complex financial planning. At IBM, we’ve developed Planning Analytics, a revolutionary solution that transforms how organizations approach planning and analytics. With robust features and unparalleled scalability, IBM Planning Analytics is the preferred choice for businesses worldwide. We’ll explore the aspects of IBM Planning Analytics that set it apart in the enterprise performance management landscape.

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NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting

Marktechpost

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. Researchers have been exploring advanced optimization techniques to make this process more efficient. Traditionally, adaptive optimizers such as Adam have been used to speed training by adjusting network parameters through gradient descent.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Top 10 AI and LLM Trends Transforming Marketing in 2024

Towards AI

Author(s): Mukundan Sankar Originally published on Towards AI. Discover the top 10 AI and LLM trends transforming marketing in 2024. Learn how AI-driven strategies like generative content, hyper-personalization, and predictive analytics are revolutionizing customer engagement and marketing effectiveness. This member-only story is on us. Upgrade to access all of Medium.

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Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments

Marktechpost

Artificial Intelligence (AI) and Machine Learning (ML) have been transformative in numerous fields, but a significant challenge remains in the reproducibility of experiments. Researchers frequently rely on previously published work to validate or extend their findings. This process often involves running complex code from research repositories. However, setting up these repositories, configuring the environment, and resolving various technical issues, such as outdated dependencies and bugs, are

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AI That Thinks Before It Speaks — OpenAI “o1” Models

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Richard Warepam Originally published on Towards AI. What is OpenAI ‘o1’? How Does It Work? When To Use o1-preview & o1-mini? This member-only story is on us. Upgrade to access all of Medium. If you are not a member, click here to read the full article. But as an appreciation, please don’t forget to 👏 clap if you had a good read.

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SummaryMixing: A Linear-Time Complexity Alternative to Self-Attention, to Streaming Speech Recognition with a Streaming and Non-Streaming Conformer Transducer

Marktechpost

Automatic speech recognition (ASR) has become a crucial area in artificial intelligence, focusing on the ability to transcribe spoken language into text. ASR technology is widely used in various applications such as virtual assistants, real-time transcription, and voice-activated systems. These systems are integral to how users interact with technology, providing hands-free operation and improving accessibility.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The power of personalization elevates the customer experience

SAS Software

Personalization has become the cornerstone of the customer journey. It’s the difference between a one-size-fits-all approach and a tailored experience that resonates on a personal level. These three organizations are mastering the art of delivering exceptional customer experiences with SAS® Customer Intelligence 360. The Nature Conservancy: Improving donor communications The [.

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Microsoft Research Evaluates the Inconsistencies and Sensitivities of GPT-4 in Performing Deterministic Tasks: Analyzing the Impact of Minor Modifications on AI Performance

Marktechpost

Large language models (LLMs) like GPT-4 have become a significant focus in artificial intelligence due to their ability to handle various tasks, from generating text to solving complex mathematical problems. These models have demonstrated capabilities far beyond their original design, mainly to predict the next word in a sequence. While their utility spans numerous industries, such as automating data analysis and performing creative tasks, a key challenge lies in reliably evaluating their true p

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Solving Complex Business Problems with Mixed-Integer Linear Programming

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. A Practical Exploration of MILP Applications: From Workforce Optimization to Financial Planning and Beyond This member-only story is on us. Upgrade to access all of Medium. Photo by Ruth H Curtis on Unsplash If you’re a hedge fund manager managing an investment portfolio, your goal is to maximize returns by year-end.

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Learning and Knowledge Retrieval: A Comprehensive Framework for In-Context Learning in Large Language Models (LLMs)

Marktechpost

Generative Large Language Models (LLMs) are capable of in-context learning (ICL), which is the process of learning from examples given within a prompt. However, research on the precise principles underlying these models’ ICL performance is still underway. The inconsistent experimental results are one of the main obstacles, making it challenging to provide a clear explanation for how LLMs make use of ICL.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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The End of the Legal AI Pioneers + A New Beginning

Artificial Lawyer

‘Is this the end of the first legal AI pioneers?’ is a question you might well ask as the ink dries on Evisort’s agreement to sell to Workday.

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A Systematic Literature Review: Optimization and Acceleration Techniques for LLMs

Marktechpost

Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters. However, they pose major challenges in computational resources and memory usage. Even advanced GPUs struggle to handle models with trillions of parameters, limiting accessibility for many researchers because training and managing s

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TAI #117:Do OpenAI’s o1 Models Unlock a Full “Moore’s Law” Feedback Loop for LLM Inference Tokens?

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI’s new o1 series of “reasoning” models took clear center stage this week. These models use an advanced form of search and reasoning during inference. This system performs multiple steps of thought before arriving at an answer, drawing on reinforcement learning (RL) to refine its reasoning process.

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Comet Launches Opik: A Comprehensive Open-Source Tool for End-to-End LLM Evaluation, Prompt Tracking, and Pre-Deployment Testing with Seamless Integration

Marktechpost

Comet has unveiled Opik , an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for developers and data scientists to monitor, test, and track LLM applications from development to production. Opik offers a comprehensive suite of features that streamline the evaluation process and improve the overall reliability of LLM-based applications.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Google's NotebookLM: The AI Research Assistant That Talks Back

Marketing AI Institute

Google just dropped a game-changing update to NotebookLM, its AI-powered research tool. And it’s got people buzzing about the future of personalized learning and business research.

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Intrinsic Dimensionality and Compositionality: Linking LLM Hidden States to fMRI Encoding Performance

Marktechpost

Cognitive neuroscience studies how the brain processes complex information, particularly language. Researchers are interested in understanding how the brain transforms low-level stimuli, like sounds or words, into higher-order concepts and ideas. One important area of this research is comparing the brain’s language processing mechanisms to those of artificial neural networks, especially large language models (LLMs).

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[The AI Show Episode 115]: OpenAI o1, Google’s Insane NotebookLM Update, MAICON 2024 & OpenAI’s $150B Valuation

Marketing AI Institute

Our annual gathering, MAICON (Marketing AI Conference) has wrapped, and Paul and Mike dive into a bit of the key event takeaways, including an impromptu/modified closing keynote breaking down the Strawberry (OpenAI o1) launch. Also, OpenAI’s $150B valuation and Google’s Notebook LM update make for an exciting episode!

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