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Top 10 Programming Languages in 2024

Analytics Vidhya

Introduction With technology changing all the time, learning the most useful programming languages is super important. Today’s digital world moves really fast, being a skilled coder with the right programming language can give you wings to fly in this digital world or it can give you a big advantage and open doors to cool jobs […] The post Top 10 Programming Languages in 2024 appeared first on Analytics Vidhya.

Python 302
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Igor Jablokov, Pryon: Building a responsible AI future

AI News

As artificial intelligence continues to rapidly advance, ethical concerns around the development and deployment of these world-changing innovations are coming into sharper focus. In an interview ahead of the AI & Big Data Expo North America , Igor Jablokov, CEO and founder of AI company Pryon , addressed these pressing issues head-on. Critical ethical challenges in AI “There’s not one, maybe there’s almost 20 plus of them,” Jablokov stated when asked about the most cr

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Microsoft to forge AI partnerships with South Korean tech leaders

AI News

Microsoft is set to host top executives from South Korea’s leading technology firms next month to strengthen its AI partnerships. The high-level meeting, dubbed the MS CEO Summit 2024, will be held on 14 May 2024 and feature Microsoft’s founder Bill Gates and Chairman and CEO Satya Nadella. They will engage in closed-door discussions with Kyung Kye-hyun of Samsung, Kwak Noh-jung of SK Hynix, Cho Joo-wan of LG Electronics, and Ryu Young-sang of SK Telecom.

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Separation of Concerns: Achieving Breakthrough Synergy in Decision Management

Unite.AI

At its core, software is written to automate functions – fundamentally that is through workflow that orchestrates over actions. The most essential action within software that affects business outcomes are business decisions. But oftentimes, the employee who initially established the guiding rules for a software decision will eventually leave the company – only for their replacement to tweak the criteria and alter the code accordingly.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics

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Cohere Launches Toolkit to Expedite Generative AI Application Development

Analytics Vidhya

Cohere, a leading figure in AI innovation, has unveiled a new toolkit for enterprise AI. This new toolkit is aimed at speeding up the pace of generative AI application development within the enterprise sphere. It offers developers a comprehensive set of tools and resources to expedite their projects. It further promises to streamline the intricate […] The post Cohere Launches Toolkit to Expedite Generative AI Application Development appeared first on Analytics Vidhya.

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Generative AI’s Role in Job Satisfaction

Unite.AI

Generative AI (GenAI) is a pivotal technology that enhances work in a myriad of ways. From automating complex analysis to simulating scenarios that assist in decision-making, GenAI use cases are making a big impact across a broad swath of industries, including financial services, consultancies, information technology, legal, telecommunication and more.

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Commerce strategy: Ecommerce is dead, long live ecommerce

IBM Journey to AI blog

In today’s dynamic and uncertain landscape, commerce strategy—what we might formerly have referred to as ecommerce strategy—is so much more than it once was. Commerce is a complex journey in which the moment of truth—conversion—takes place. This reality means that every brand in every industry with every business model needs to optimize the commerce experience, and thus the customer experience , to drive conversion rates and revenues.

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Newsletter #33: Make.com Speech AI Integration and Streaming STT Updates

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord 🚀 Speech AI Automation with AssemblyAI & Make.com We've launched our  integration with Make.com , which enables users to use AssemblyAI's Speech AI in another popular low-code/no-code service.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade

Analytics Vidhya

Ray-Ban Meta Smart Glasses have garnered attention for their sleek design and multifunctionality. The latest addition of multimodal AI enhances the utility of these AI glasses, offering users a seamless blend of technology and fashion. Let’s delve into the details of this innovative update and its implications. Also Read: Here’s the Latest AI-powered VR Glasses […] The post Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade appeared first on Analytics Vidhya.

AI 305
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Microsoft unveils Phi-3 family of compact language models

AI News

Microsoft has announced the Phi-3 family of open small language models (SLMs), touting them as the most capable and cost-effective of their size available. The innovative training approach developed by Microsoft researchers has allowed the Phi-3 models to outperform larger models on language, coding, and math benchmarks. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the

Big Data 221
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Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Unite.AI

The advancements in large language models have significantly accelerated the development of natural language processing , or NLP. The introduction of the transformer framework proved to be a milestone, facilitating the development of a new wave of language models, including OPT and BERT, which exhibit profound linguistic understanding. Furthermore, the inception of GPT, or Generative Pre-trained Transformer models, introduced a new paradigm with autoregressive modeling and established a robust m

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Data privacy examples

IBM Journey to AI blog

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. A school asks parents to verify their identities before giving out student information. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Redact PII in Audio with Make and AssemblyAI

AssemblyAI

Make (formerly Integromat) is a workflow automation tool that lets you integrate various services without requiring coding knowledge. With the AssemblyAI app for Make you can use our AI models to process audio data by transcribing it with speech recognition models, analyzing it with audio intelligence models, and building generative features on top of it with LLMs.

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How to Run Llama 3 Locally?

Analytics Vidhya

Introduction Discover the latest milestone in AI language models with Meta’s Llama 3 family. From advancements like increased vocabulary sizes to practical implementations using open-source tools, this article dives into the technical details and benchmarks of Llama 3. Learn how to deploy and run these models locally, unlocking their potential within consumer hardware.

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This AI Paper Proposes FLORA: A Novel Machine Learning Approach that Leverages Federated Learning and Parameter-Efficient Adapters to Train Visual-Language Models VLMs

Marktechpost

Traditional methods for training vision-language models (VLMs) often require the centralized aggregation of vast datasets, which raises concerns regarding privacy and scalability. Federated learning offers a solution by allowing models to be trained across a distributed network of devices while keeping data locally but adapting VLMs to this framework presents unique challenges.

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Transforming Telehealth: How AI-Powered Virtual Consultations and Remote Monitoring Are Shaping the Future of Healthcare

Unite.AI

As technology reshapes various industries, healthcare is undergoing some of the most significant transformations. Originally developed to monitor astronauts' health in space, telehealth has emerged as a crucial healthcare tool, particularly during the COVID-19 pandemic. This development has now entered a new phase with the integration of Artificial Intelligence (AI).

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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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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Journey to AI blog

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

AI 213
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Nvidia to Acquire Run:AI

NVIDIA

To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads distributed across cloud, edge and on-premises data center infrastructure.

AI 143
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Big Tech Giants to Big Dreams, Candidly Catching up with Vijay Karunamurthy

Analytics Vidhya

In this episode of Leading with Data, we delve into the key insights shared by Vijay Karunamurthy, a seasoned AI professional with a rich background in engineering and machine learning. From his pioneering work at YouTube and Apple to his current role as Field Chief Technology Officer at Scale AI, Vijay offers invaluable perspectives on the evolving landscape of artificial […] The post Big Tech Giants to Big Dreams, Candidly Catching up with Vijay Karunamurthy appeared first on Analytics V

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Integrating Large Language Models with Graph Machine Learning: A Comprehensive Review

Marktechpost

Graphs are important in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. Alongside topological structure, nodes often possess textual features providing context. Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Overcoming the Top Security Challenges of AI-Driven Low-Code/No Code Development

Unite.AI

Low-code development platforms have changed the way people create custom business solutions, including apps, workflows, and copilots. These tools empower citizen developers and create a more agile environment for app development. Adding AI to the mix has only enhanced this capability. The fact that there aren't enough people at an organization that have the skills (and time) to build the number of apps, automations and so on that are needed to drive innovation forward has given rise to the low-c

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AI transforms the IT support experience

IBM Journey to AI blog

We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service.

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Small and Mighty: NVIDIA Accelerates Microsoft’s Open Phi-3 Mini Language Models

NVIDIA

NVIDIA announced today its acceleration of Microsoft’s new Phi-3 Mini open language model with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference when running on NVIDIA GPUs from PC to cloud. Phi-3 Mini packs the capability of 10x larger models and is licensed for both research and broad commercial usage, advancing Phi-2 from its research-only roots.

LLM 143
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GhostFaceNets: Efficient Face Recognition on Edge Devices

Analytics Vidhya

Introduction GhostFaceNets is a revolutionary facial recognition technology that uses affordable operations without compromising accuracy. Inspired by attention-based models, it revolutionizes facial recognition technology. This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Advancing Time Series Forecasting: The Impact of Bi-Mamba4TS’s Bidirectional State Space Modeling on Long-Term Predictive Accuracy

Marktechpost

Time series forecasting is increasingly vital across numerous sectors, such as meteorology, finance, and energy management. Its relevance has grown as organizations aim to predict future trends and patterns more accurately. This type of forecasting is instrumental in enhancing decision-making processes and optimizing resource allocation over long periods.

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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Machine Learning Research at Apple

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.

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How to prevent prompt injection attacks

IBM Journey to AI blog

Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

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