Sat.May 04, 2024 - Fri.May 10, 2024

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Footprints of AI: Read This Before Working on Massive AI Models

Analytics Vidhya

Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! But with the boon, bane comes complementary…the AI strides, its power vast and its potential great, yet within its circuits lie shadows of concern. You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

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OpenAI takes steps to boost AI-generated content transparency

AI News

OpenAI is joining the Coalition for Content Provenance and Authenticity (C2PA) steering committee and will integrate the open standard’s metadata into its generative AI models to increase transparency around generated content. The C2PA standard allows digital content to be certified with metadata proving its origins, whether created entirely by AI, edited using AI tools, or captured traditionally.

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6 Ways Computer Vision is Re-envisioning the Future of Driving

Unite.AI

Today’s cars are like supercomputers on wheels – smarter, safer, faster, and more personalized thanks to technological advances. One transformative innovation steering this revolution is computer vision – AI-driven technology that enables machines to “understand” and react to visual information. Vehicles can now identify the specific attributes of objects, text, movement, and more – critically important for an industry in pursuit of self-driving vehicles.

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Simplifying IAM through orchestration

IBM Journey to AI blog

The recent validated what many of us in the industry already knew: Identity has become the leading attack vector. The 2024 report showed a 71% increase in valid identities used in cyberattacks year-over-year. What really puts it into perspective is the realization that you are just as likely to have your valid identity used in a cyberattack as you are to see a phishing attack in your organization.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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DISCO Launches GenAI Cecilia Doc Summary Capability

Artificial Lawyer

DISCO has launched a doc summary capability via its Cecilia genAI system. It will provide detailed insights into documents – including in foreign languages –.

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Alexandr Yarats, Head of Search at Perplexity – Interview Series

Unite.AI

Alexandr Yarats is the Head of Search at Perplexity AI. He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. The initial years were intense yet rewarding, propelling his growth to become an Engineering Team Lead. Driven by his aspiration to work with a tech giant, he joined Google in 2022 as a Senior Software Engineer, focusing on the Google Assistant team (later Google Bard).

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FPGA vs. GPU: Which is better for deep learning?

IBM Journey to AI blog

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Beyond artificial intelligence (AI) , deep learning drives many applications that improve automation , including everyday products and services like digital assistants, voice-enabled consumer electronics, credit card fraud detection and more.

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OpenAI set to unveil AI-driven challenger to Google Search

AI News

Google’s long-standing supremacy in the search engine arena may soon be challenged as OpenAI , boosted by its partnership with Microsoft, is reportedly stepping up to launch its own AI-driven search product. According to two sources familiar with the matter who spoke to Reuters , OpenAI is scheduled to unveil its AI-powered search tool on Monday.

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Stability AI Launches Stable Artisan with New Image Generation and Editing Tools

Analytics Vidhya

Stability AI has unveiled Stable Artisan, a new addition to its Discord channel, enabling seamless media generation and editing. This innovative Discord bot integrates cutting-edge AI models, empowering users to craft high-quality images and videos effortlessly. Let’s delve into the game-changing features and functionalities of Stable Artisan.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Fredrik Danielsson, Principal Product Manager at Tiny – Interview Series

Unite.AI

Fredrik Danielsson, principal product manager of TinyMCE , an enterprise-grade WYSIWYG rich text editing component. Fredrik is an ardent software and web app designer turned product manager, who revels in the detail. With 20+ years’ experience working across web design, UX/UI, design, marketing and software development, he specializes in web apps and services that serve the precise needs of the enterprise sector.

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IBM Mainframe Skills Council brings the global community together to grow mainframe talent

IBM Journey to AI blog

The global economy runs on transactions, and 70% of transactions by value run through an IBM Z® mainframe. Many of the world’s largest enterprises rely on IBM Z to support their core business, and by a process of continued innovation, IBM Z brings industry-first technologies to our clients with each new generation. Modern mainframe skills are critical as businesses implement AI, modernize their applications, integrate across the enterprise and continue digital transformation.

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Researchers at NVIDIA AI Introduce ‘VILA’: A Vision Language Model that can Reason Among Multiple Images, Learn in Context, and Even Understand Videos

Marktechpost

The rapid evolution in AI demands models that can handle large-scale data and deliver accurate, actionable insights. Researchers in this field aim to create systems capable of continuous learning and adaptation, ensuring they remain relevant in dynamic environments. A significant challenge in developing AI models lies in overcoming the issue of catastrophic forgetting, where models fail to retain previously acquired knowledge when learning new tasks.

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AlphaFold 3 Will Change the Biological World and Drug Discovery

Analytics Vidhya

Introduction Have you ever wondered what makes life tick? Well, you’d better hold onto your hats because I am introducing a cool new AI – AlphaFold 3 – that will take you on a crazy ride that unveils a thrilling world of microscopic building blocks responsible for everything and anything around us! Brought to you […] The post AlphaFold 3 Will Change the Biological World and Drug Discovery appeared first on Analytics Vidhya.

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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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Supercharging Graph Neural Networks with Large Language Models: The Ultimate Guide

Unite.AI

Graphs are data structures that represent complex relationships across a wide range of domains, including social networks, knowledge bases, biological systems, and many more. In these graphs, entities are represented as nodes, and their relationships are depicted as edges. The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems.

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Unlocking business value: Maximizing returns from your SAP investments

IBM Journey to AI blog

Amid the dynamic realms of modern business and technology, organizations seek to maintain a competitive edge and elevate business outcomes and user experiences through their SAP investments. The crux of this endeavor lies in fostering continuous value creation throughout the journey. Drawing from my experience with clients across expansive, multi-year SAP engagements, there are three areas where collaborative value creation and charting future roadmaps intertwine seamlessly. 1.

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Anthropic AI Launches a Prompt Engineering Tool that Generates Production-Ready Prompts in the Anthropic Console

Marktechpost

Generative AI (GenAI) tools have come a long way. Believe it or not, the first generative AI tools were introduced in the 1960s in a Chatbot. Still, it was only in 2014 that generative adversarial networks (GANs) were introduced, a type of Machine Learning (ML) algorithm that allowed generative AI to finally create authentic images, videos, and audio of real people.

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How to Build a ML Model in 1 Minute using ChatGPT

Analytics Vidhya

Introduction Machine learning (ML) has become a game-changer across industries, but its complexity can be intimidating. This article explores how to use ChatGPT to build machine learning models. We’ll look into how ChatGPT can assist in various stages of model creation, from data preparation to training and evaluation, all through an intuitive conversational interface.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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‘Get On the Train,’ NVIDIA CEO Says at ServiceNow’s Knowledge 2024

NVIDIA

Now’s the time to hop aboard AI, NVIDIA founder and CEO Jensen Huang declared Wednesday as ServiceNow unveiled a demo of futuristic AI avatars together with NVIDIA during a keynote at the Knowledge 24 conference in Las Vegas. “If something is moving a million times faster every 10 years, what should you do?” Huang asked, citing rapid advancements in AI capabilities. “The first thing you should do is instead of looking at the train, from the side is … get on the train, because on the

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Journey to AI blog

Successful clinical studies hinge on efficiently recruiting and retaining diverse participants. Yet, clinical trial professionals across the globe grapple with notable challenges in these areas. In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements.

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LLMClean: An AI Approach for the Automated Generation of Context Models Utilizing Large Language Models to Analyze and Understand Various Datasets

Marktechpost

The burgeoning expansion of the data landscape, propelled by the Internet of Things (IoT), presents a pressing challenge: ensuring data quality amidst the deluge of information. With IoT devices increasingly interconnected and data acquisition costs declining, enterprises are capitalizing on this wealth of data to inform strategic decisions. However, the quality of that data is paramount, especially given the escalating reliance on Machine Learning (ML) across various industries.

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Google DeepMind’s New AI Model Can Create Life!

Analytics Vidhya

Google DeepMind has just unveiled AlphaFold 3, a revolutionary AI model redefining biomolecular modeling. Unlike its predecessors, AlphaFold 3 extends its modeling skills beyond proteins. This new model is capable of generating DNA, RNA, and smaller molecules known as ligands. Its breakthrough technology promises to accelerate advancements across various scientific disciplines.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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NVIDIA DGX SuperPOD to Power U.S. Government Generative AI

NVIDIA

In support of President Biden’s executive order on AI, the U.S. government will use an NVIDIA DGX SuperPOD to produce generative AI advances in climate science, healthcare and cybersecurity. The executive order, issued in October, is aimed at ensuring U.S. leadership in AI and managing its risks. MITRE, a nonprofit organization that operates federally funded research and development centers, is implementing a new NVIDIA DGX SuperPOD system that will provide researchers and developers access to m

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

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Researchers at the University of Waterloo Introduce Orchid: Revolutionizing Deep Learning with Data-Dependent Convolutions for Scalable Sequence Modeling

Marktechpost

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. Attention mechanisms have been revolutionary, allowing for better handling of sequence modeling tasks. However, the computational complexity associated with these mechanisms scales quadratically with sequence length, which becomes a significant bottleneck when managing long-context tasks such as genomics and natura

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Elon Musk’s Neuralink Confronts First Human Trial Malfunction

Analytics Vidhya

Neuralink’s Malfunction!!! In recent news, Elon Musk’s neural technology company, Neuralink, conducted its first human trial of a brain chip on a 29-year-old man named Noland Arbaugh. However, an unexpected malfunction occurred, prompting the company to rectify the issue and share the experience. Neuralink Malfunction and Rectification Neuralink’s brain-computer interface was intended to capture neural […] The post Elon Musk’s Neuralink Confronts First Human Trial Malfunc

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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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NVIDIA and Alphabet’s Intrinsic Put Next-Gen Robotics Within Grasp

NVIDIA

Intrinsic, a software and AI robotics company at Alphabet, has integrated NVIDIA AI and Isaac platform technologies to advance the complex field of autonomous robotic manipulation. This week at the Automate trade show, in Chicago, Intrinsic is spotlighting leaps in robotic grasping and industrial scalability assisted by foundation models enabled by NVIDIA Isaac Manipulator, unlocking new value in industrial automation with AI.

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IBM Makes Granite AI Models Open-Source Under New InstructLab Platform

Extreme Tech

IBM hopes the platform will lower the barrier to entry for developers using LLMs without spending significant time, energy, and other resources to 'fork' popular models.

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Meet GLiNER: A Generalist AI Model for Named Entity Recognition (NER) Using a Bidirectional Transformer

Marktechpost

A key element of Natural Language Processing (NLP) applications is Named Entity Recognition (NER), which recognizes and classifies named entities, such as names of people, places, dates, and organizations within the text. While specified entity types limit the effectiveness of traditional NER models, they also restrict their adaptability to new or diverse datasets.