Mon.Feb 05, 2024

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6 ways generative AI can optimize asset management

IBM Journey to AI blog

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. In a recent IBM Institute for Business Value study of chief supply chain officers, nearly half of the respondents stated that they have adopted new technologies in response to challenges.

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Top 10 AI Essay Writers and Generators to Use in 2024

Analytics Vidhya

Essays are an essential part of life for students and content writing professionals. Balancing high school or postgraduate studies with numerous tasks is challenging for students. Essay writing, a common assignment, becomes time-consuming amid a busy schedule. AI essay writing tools alleviate concerns about time, writer’s block, and hectic schedules.

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Mastering identity security: A primer on FICAM best practices

IBM Journey to AI blog

For federal and state governments and agencies, identity is the crux of a robust security implementation. Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets. This need for robust security underscored by Executive Order 14028 , published in May 2021, calls for enhancing the nation’s cybersecurity posture.

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Top 5 Reasons to Become a Data Scientist

Analytics Vidhya

Ever thought about how all the information swirling around us is like a hidden power shaping the way businesses and the world work today? In this digital age, data is like the magic behind the scenes, connecting everything and everyone. But here’s the catch – there’s so much data that we need smart people to […] The post Top 5 Reasons to Become a Data Scientist appeared first on Analytics Vidhya.

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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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AUKUS trial advances AI for military operations 

AI News

The UK armed forces and Defence Science and Technology Laboratory (Dstl) recently collaborated with the militaries of Australia and the US as part of the AUKUS partnership in a landmark trial focused on AI and autonomous systems. The trial, called Trusted Operation of Robotic Vehicles in Contested Environments (TORVICE), was held in Australia under the AUKUS partnership formed last year between the three countries.

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Modernizing payments without disrupting legacy checks systems

IBM Journey to AI blog

Across the globe, financial institutions are rapidly modernizing to deliver secure, seamless payment experiences that meet the demands of digital-first consumers. Financial institutions face the challenge of enabling digital payments while simultaneously managing existing payment capabilities like checks. Although check usage is decreasing worldwide, in the US, checks remain the popular payment option for rent and larger transactions.In the EU, check volume is still deemed significant, with over

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Control your Lucid dreams using Halo Headband

Analytics Vidhya

Introduction PropheticAI, a world leader in the field of neuroscience, has recently launched Halo headband to control lucid dreaming. Morpheus 1, the world’s first ultrasonic Transformer designed to induce and stabilize lucid dreaming. This non-invasive neural device marks a significant leap in exploring the vast landscape of human consciousness.

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Navigating the digital wave: Understanding DORA and the role of confidential computing

IBM Journey to AI blog

The Digital Operational Resilience Act (DORA) marks a significant milestone in the European Union’s (EU) efforts to bolster the operational resilience of the financial sector in the digital age. Envisioned to comprehensively address information and communications technology (ICT) risk management in financial services, DORA aims to harmonize existing regulations across EU member states.

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What is Match Case Statement in Python?

Analytics Vidhya

Introduction The match case statement in Python is a powerful feature that allows us to perform pattern matching and make decisions based on the values of variables. It provides a concise, readable way to handle multiple conditions and execute specific code blocks accordingly. In this article, we will explore Python’s syntax, usage, benefits, and examples […] The post What is Match Case Statement in Python?

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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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How is DNSSEC different from encryption? 

IBM Journey to AI blog

It’s a question we often hear: “Isn’t DNSSEC the same as encrypted DNS?” Not really. While DNSSEC protects networks against man-in-the-middle attacks, it does so through public key cryptography, which is different from encryption. In other words, DNSSEC provides a form of authentication, but not a form of confidentiality. How is public key cryptography different from encryption?

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Everything You Need to Know About Synthesia AI

Analytics Vidhya

Introduction The world of video content creation is experiencing a transformative shift driven by the power of artificial intelligence (AI). Synthesia AI stands at the forefront of this revolution, empowering individuals and businesses to produce professional-grade videos without expensive equipment or technical expertise. This in-depth review and analysis delve into the heart of Synthesia AI, […] The post Everything You Need to Know About Synthesia AI appeared first on Analytics Vidhya.

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Transforming the future: A journey into model-based systems engineering at Singapore Institute of Technology

IBM Journey to AI blog

In the dynamic cityscape of Singapore, a pioneering initiative is unfolding at the Singapore Institute of Technology (SIT). A group of 56 students has embarked on a unique journey into the world of model-based systems engineering (MBSE). Under the mentorship of Marco Forlingieri, associate faculty member at SIT and ASEAN Engineering Leader from IBM Singapore, students engaged in a hands-on exploration of IBM® Engineering Systems Design Rhapsody® This course stands as Singapore’s

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How to Update a Python Tuple Element Value?

Analytics Vidhya

Introduction In Python, a tuple is an ordered and immutable collection of elements. Once created, its elements cannot be modified, added, or removed. Tuples are defined using parentheses () and can contain elements of different data types, including numbers, strings, and others. Here’s a simple example of a tuple: Attempting to modify any element of […] The post How to Update a Python Tuple Element Value?

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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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The New 3-Legged Stool of Sustainable Innovation: Data, AI, & Human Creativity

Unite.AI

There’s a well-known saying among salespeople that goes, “Don’t sell the steak – sell the sizzle!” Coined in the mid-1930s by Elmer Wheeler , the point was to focus potential customers’ attention on the flashy features of a product; the “wow” factor. We’ve gotten an awful lot of sizzle from artificial intelligence (AI) recently, although much of the technology has been around for years, and leaders are now taking a closer look at the “why” behind the “wow.

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OnePlus Integrates AI Features in Latest ColorOS Update

Analytics Vidhya

OnePlus has discreetly introduced AI features in its recent ColorOS update for the OnePlus 11 and OnePlus 12, aligning itself with the AI trend in the smartphone industry. Despite no mention during the global launch, these features are making waves in China, leaving global users eagerly anticipating their arrival. Also Read: Samsung Launches World’s Smartest […] The post OnePlus Integrates AI Features in Latest ColorOS Update appeared first on Analytics Vidhya.

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Common cloud migration challenges and how to manage them

IBM Journey to AI blog

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. A cloud migration, however, is a huge undertaking that requires thorough planning and execution of a comprehensive strategy to successfully achieve business goals.

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Convert String to DateTime and Vice-Versa in Python

Analytics Vidhya

Introduction DateTime conversion is a common task in Python programming when working with dates and times. It involves converting a string representation of a date or time into a DateTime object. This article will explore various methods and techniques to perform string-to-DateTime and vice versa conversions in Python. Converting String to DateTime in Python Several […] The post Convert String to DateTime and Vice-Versa in Python appeared first on Analytics Vidhya.

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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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OpenVoice: Versatile Instant Voice Cloning

Unite.AI

In Text-to-Speech synthesis (TTS), Instant Voice Cloning (IVC) enables the TTS model to clone the voice of any reference speaker using a short audio sample, without requiring additional training for the reference speaker. This technique is also known as Zero-Shot Text-to-Speech Synthesis. The Instant Voice Cloning approach allows for flexible customization of the generated voice and demonstrates significant value across a wide range of real-world situations, including customized chatbots, conten

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6 Methods to Convert String to Int in Python

Analytics Vidhya

Introduction Converting a string to an integer is a common task in Python programming. It allows us to manipulate and perform mathematical operations on numeric values stored as strings. This fundamental task opens the gateway to a domain where manipulation and mathematical prowess converge, enabling you to unleash the true potential of your code. In […] The post 6 Methods to Convert String to Int in Python appeared first on Analytics Vidhya.

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Advancing AI Alignment with Human Values Through WARM

Unite.AI

Alignment of AI Systems with Human Values Artificial intelligence (AI) systems are becoming increasingly capable of assisting humans in complex tasks, from customer service chatbots to medical diagnosis algorithms. However, as these AI systems take on more responsibilities, it is crucial that they remain aligned with human values and preferences. One approach to achieve this is through a technique called reinforcement learning from human feedback (RLHF).

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20 Technologies in Data Science for Professionals

Analytics Vidhya

Introduction With the increasing prevalence of internet usage, companies harness data’s power to drive innovation, make strategic decisions, and gain a competitive edge in the digital era. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population. This surge in internet penetration underscores the pervasive influence […] The post 20 Technologies in Data Science for Professionals appeared first on Analytics V

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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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This AI Paper from Apple Proposes Acoustic Model Fusion to Drastically Cut Word Error Rates in Speech Recognition Systems

Marktechpost

Significant improvements have been made in enhancing the accuracy and efficiency of Automatic Speech Recognition (ASR) systems. The recent research delves into integrating an external Acoustic Model (AM) into End-to-End (E2E) ASR systems, presenting an approach that addresses the persistent challenge of domain mismatch – a common obstacle in speech recognition technology.

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Krutrim AI’s Upcoming Chatbot App Sparks Controversy Ahead of Launch

Analytics Vidhya

Krutrim Si Designs, the brainchild of Ola’s CEO Bhavish Aggarwal, is set to unveil its highly anticipated generative artificial intelligence (AI) chatbot app. Aggarwal recently took to social media to provide a sneak peek into the capabilities of the Krutrim AI chatbot, sparking both excitement and controversy. The chatbot claims proficiency in all 22 scheduled […] The post Krutrim AI’s Upcoming Chatbot App Sparks Controversy Ahead of Launch appeared first on Analytics Vidhya.

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Meet Time-LLM: A Reprogramming Machine Learning Framework to Repurpose LLMs for General Time Series Forecasting with the Backbone Language Models Kept Intact

Marktechpost

In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn with the introduction of TIME-LLM, a pioneering framework developed by a collaboration between esteemed institutions, including Monash University and Ant Group. This framework departs from traditional approaches by harnessing the vast potential of Large Language Models (LLMs), traditionally used in natural language processing, to predict future trends in time series data.

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ASEAN Releases AI Governance Guide

Analytics Vidhya

In a significant stride towards responsible AI use, the Association of Southeast Asian Nations (ASEAN) recently unveiled the “ASEAN Guide on AI Governance and Ethics.” This guide, introduced during the 4th ASEAN Digital Ministers Meeting in Singapore, reflects the regional bloc’s commitment to fostering the responsible deployment of artificial intelligence technologies.

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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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Researchers from EPFL and Meta AI Proposes Chain-of-Abstraction (CoA): A New Method for LLMs to Better Leverage Tools in Multi-Step Reasoning

Marktechpost

Recent advancements in large language models (LLMs) have propelled the field forward in interpreting and executing instructions. Despite these strides, LLMs still grapple with errors in recalling and composing world knowledge, leading to inaccuracies in responses. To address this, the integration of auxiliary tools, such as using search engines or calculators during inference, has been proposed to enhance reasoning.

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First Scientific Study Involving Large Computational Loads Completed Over a Decentralized Blockchain

Towards AI

Last Updated on February 5, 2024 by Editorial Team Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. How a recent study used decentralized distributed computing through the Golem network to simulate the chemical reactions underpinning the emergence of life on Earth.Figure composed with Dall-E 3 to illustrate how the origin of life on Earth from abiotic materials was “illuminated” by computations based on a protocol that runs on the Ethereum blockchain.

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This AI Paper from UT Austin and JPMorgan Chase Unveils a Novel Algorithm for Machine Unlearning in Image-to-Image Generative Models

Marktechpost

In an era where digital privacy has become paramount, the ability of artificial intelligence (AI) systems to forget specific data upon request is not just a technical challenge but a societal imperative. The researchers have embarked on an innovative journey to tackle this issue, particularly within image-to-image (I2I) generative models. These models, known for their prowess in crafting detailed images from given inputs, have presented unique challenges for data deletion, primarily due to their

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