Tue.Nov 05, 2024

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Creatify Review: How I Turn Product Links Into Ad Videos

Unite.AI

Have you ever wished you could create high-quality video ads without hiring an expensive production team? Video is everything in today’s fast-paced digital world. Aberdeen Group says video drives 49% faster revenue growth than non-video content. But if you're like most small businesses or content creators, you probably don’t have the time, a big budget, or extensive video editing skills to create these videos!

AI 289
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Western drivers remain sceptical of in-vehicle AI

AI News

A global study has unveiled a stark contrast in attitudes towards embracing in-vehicle AI between Eastern and Western markets, with European drivers particularly reluctant. The research – conducted by MHP – surveyed 4,700 car drivers across China, the US, Germany, the UK, Italy, Sweden, and Poland, revealing significant geographical disparities in AI acceptance and understanding.

Big Data 245
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Heico Sandee, Founder and CEO of Smart Robotics – Interview Series

Unite.AI

Heico Sandee , is the Co-Founder and CEO of Smart Robotics. Smart Robotics offers technology and services designed to automate pick-and-place stations in fulfillment centers. The company provides user-friendly, reliable, and adaptable pick-and-place systems capable of handling a wide variety of items. What inspired you to co-found Smart Robotics back in 2015?

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AI hallucinations gone wrong as Alaska uses fake stats in policy

AI News

The combination of artificial intelligence and policymaking can occasionally have unforeseen repercussions, as seen recently in Alaska. In an unusual turn of events, Alaska legislators reportedly used AI-generated citations that were inaccurate to justify a proposed policy banning cellphones in schools. As reported by /The Alaska Beacon/, Alaska’s Department of Education and Early Development (DEED) presented a policy draft containing references to academic studies that simply did not exist.

Big Data 234
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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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Quantum Computing: The Future of Data-Driven Decision Making

Unite.AI

Data is not just an asset; it has become the lifeblood of businesses today, driving everything from daily decisions to long-term strategy, and is central to competitiveness and innovation. It’s no surprise that companies generate more data than ever before, from all sources. The surge in data generation and collection is exponential. In fact, IDC predicts that by 2025, the total amount of global data will reach 175 zettabytes.

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Huawei’s Ascend 910C: A Bold Challenge to NVIDIA in the AI Chip Market

Unite.AI

The Artificial Intelligence (AI) chip market has been growing rapidly, driven by increased demand for processors that can handle complex AI tasks. The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. NVIDIA has been the dominant player in this domain for years, with its powerful Graphics Processing Units (GPUs) becoming the standard for AI computing worldwide.

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From Paycheck to Payday: 5 Free AI Budgeting Tools in India

Analytics Vidhya

Do you often find yourself wondering where all of your money has gone, especially towards the end of the month? Does it feel like rent and EMI eats up most of your income? Would you like to get back control of your money and also save some of it? Well, artificial intelligence (AI) is here […] The post From Paycheck to Payday: 5 Free AI Budgeting Tools in India appeared first on Analytics Vidhya.

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AI Startup Perplexity to Triple Valuation to $9 Billion in New Funding Round

Flipboard

Perplexity is finalizing a new funding round that would value it at $9 billion—triple its valuation from just a few months ago—the latest sign of continued investor excitement for artificial intelligence startups.

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Agentic RAG for Analyzing Customer Issues

Analytics Vidhya

RAG is a sophisticated AI technique that enhances the performance of LLMs by retrieving relevant documents or information from external sources during text generation; unlike traditional LLMs that rely solely on internal training data, RAG leverages real-time information to deliver more accurate and contextually relevant responses. While Naive RAG works very well for simple queries, […] The post Agentic RAG for Analyzing Customer Issues appeared first on Analytics Vidhya.

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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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Auto-generate subtitles with Python and AssemblyAI

AssemblyAI

Providing subtitles is an excellent way for creators to make their videos accessible to a broader audience, such as non-native speakers and those who are hard of hearing. Unfortunately, creating subtitles yourself is both tedious and time-consuming. In this tutorial, you'll learn how to use AssemblyAI to transcribe videos and automatically generate accurate and high-quality subtitles.

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AI startups will need ‘quality of revenue’ to raise in 2025, seed VCs warn

Flipboard

Fundraising in 2025 will continue to be a “tale of two cities,” VC Renata Quintini, co-founder of early-stage VC Renegade Partners, said onstage at TechCrunch Disrupt last week.

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Why There’s No Better Time to Learn LLM Development

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. LLMs are already beginning to deliver significant efficiency savings and productivity boosts when assisting workflows for early adopters. However, a large amount of work has to be delivered to access the potential benefits of LLMs and build reliable products on top of these models.

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Nvidia passes Apple as world's most valuable company

Flipboard

Nvidia is the dominant supplier of GPUs, which are used to develop and deploy advanced AI software such as OpenAI’s ChatGPT. Nvidia passed Apple in market cap on Tuesday becoming, for a second time, the most valuable publicly traded company in the world.

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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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Pandas Is Dead. Machine Learning Teams Are Using These Tools Instead.

Towards AI

Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by BoliviaInteligente on Unsplash Python’s Pandas library has been a long-standing favorite among data analysts due to its powerful DataFrame structure and intuitive API. However, for handling extensive datasets, Pandas is not always the most efficient option, as it is limited by its single-core processing design.

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Machine learning algorithm identifies three unique autism subtypes in males

Flipboard

Researchers identified three distinct autism subtypes in males, each with unique brain connectivity patterns and related behavioral traits, suggesting that tailored interventions could better address individual needs within the autism spectrum.

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Fine Tuning Pytorch ViT for CIFAR10

Towards AI

Last Updated on November 5, 2024 by Editorial Team Author(s): Ahmad Mustapha Originally published on Towards AI. In the previous article here we created a ViT model from scratch and trained it on the CIFAR10 dataset. However, the model accuracy peaked at 67% without deliberate hyperparameters fine tuning. This is expected as the original creators of the ViT model noted that these models have modest performance compared to CNNs when trained on small datasets.

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How to Leverage AI for Content Creation While Avoiding Potential Risks and Penalties

Flipboard

This article explores the dual promise and risks associated with AI-powered content creation, emphasizing the need for a balanced approach to maintain SEO effectiveness while avoiding potential penalties.

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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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TAI #124; Search GPT, Coding Assistant adoption, Towards AI Academy launch, and more!

Towards AI

Last Updated on November 5, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we saw many more incremental model updates in the LLM space, together with further evidence of LLM coding assistants gaining traction. Google’s CEO Sundar Pichai revealed that more than a quarter of new code at Google is now generated by AI, though each piece is reviewed by engineers before implementation.

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Why “humanity’s last exam” will ultimately fail humanity

Flipboard

A crowdsourced "final exam" for AI promises to test LLMs like never before. Here's how the idea, and its implementation, dooms us to fail.

AI 170
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Cybersecurity Careers In The AI Era: New Roles Emerging in 2025 and Beyond

Towards AI

Last Updated on November 6, 2024 by Editorial Team Author(s): Taimur Ijlal Originally published on Towards AI. AI Is Going To dominate Cybersecurity Conversations In 2025 And Beyond This member-only story is on us. Upgrade to access all of Medium. AI is going to continue to dominate cybersecurity related news in 2025 and beyond You can either accept this and adapt OR get left behind Traditional cybersecurity roles, such as penetration testers and risk managers, are expanding to include responsib

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Microsoft AI CEO says the AI revolution will "deliver the greatest boost to productivity in the history of our species" — but also raise fundamental questions about what it means to be human

Flipboard

Microsoft's AI CEO Mustafa Suleyman recently indicated AI progression could lead to the greatest boost to productivity in history within the next couple of decades.

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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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Legal Innovators UK Starts Wed + Travel Tips

Artificial Lawyer

The Legal Innovators UK conference starts tomorrow – Wednesday, November 6th (Law Firm Day), and continues on Thursday, November 7th (Inhouse Day). Here is the.

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OpenAI CEO Sam Altman says AGI would have 'whooshed by' in 5 years with "surprisingly little" societal change than speculated

Flipboard

OpenAI CEO Sam Altman recently indicated that the company could hit the AGI benchmark within the next 5 years.

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Building a Robust Machine Learning Pipeline: Best Practices and Common Pitfalls

Machine Learning Mastery

In real life, the machine learning model is not a standalone object that only produces a prediction. It is part of an extended system that can only provide values if we manage it together. We need the machine learning (ML) pipeline to operate the model and deliver value.

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OpenAI Reveals How To Use GPT-4o More Effectively

Flipboard

OpenAI has outlined how to make the most of its ChatGPT-4o AI model, explaining how users can harness its diverse capabilities to build powerful …

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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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Announcing the General Availability of Materialized Views and Streaming Tables for Databricks SQL

databricks

We’re excited to announce that materialized views (MVs) and streaming tables (STs) are now Generally Available in Databricks SQL on AWS and Azure.

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Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer

Flipboard

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC). Based on the deep learning convolutional neural network (CNN) architecture residual network with 101 layers (ResNet-101), spatial attention and channel attention modules were introduced to optimize the model.

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YOLOv4: A Fast and Efficient Object Detection Model

Viso.ai

YOLO (You Only Look Once) is a family of object detection models popular for their real-time processing capabilities, delivering high accuracy and speed on mobile and edge devices. Released in 2020, YOLOv4 enhances the performance of its predecessor, YOLOv3, by bridging the gap between accuracy and speed. While many of the most accurate object detection models require multiple GPUs running in parallel, YOLOv4 can be operated on a single GPU with 8GB of VRAM, such as the GTX 1080 Ti, which makes