Mon.Nov 04, 2024

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Fighting Against AI-Enabled Attacks – The Proper Defensive Strategy

Unite.AI

As AI-enabled threats proliferate, organizations must master how to prevent and defend against these types of attacks. One popular approach that is generating buzz is to use AI to defend against other, malicious AI. This is, however, only partly effective. AI can be used as a defensive shield, but only if employees have the knowledge to properly use it.

AI 264
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GitHub expands AI suite: Copilot goes multi-model, Spark debuts for web dev

AI News

GitHub is marking a significant evolution of its developer tools with two major announcements: a multi-model upgrade to Copilot and the introduction of Spark, a natural language web development platform. The code hosting giant is expanding Copilot beyond its OpenAI-only architecture to include Anthropic’s Claude 3.5 Sonnet and Google’s Gemini 1.5 Pro models while simultaneously launching GitHub Spark to simplify web application development through natural language instructions.

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Artem Rodichev CEO & Founder of Ex-human – Interview Series

Unite.AI

Artem Rodichev is the Founder and CEO of Ex-human , a company focused on building empathetic AI characters for engaging conversations. Before founding Ex-human, Artem was the Head of AI at Replika from 2017 to 2021, where he led the development one of the most popular English-speaking chatbots, growing its user base to 10 million in the U.S. You spent several years as Head of AI at Replika, building one of the most popular conversational AIs.

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Project Jarvis leak reveals Google’s vision for next-gen Gemini

AI News

Google has big hopes for AI, as evidenced by the consistent improvements to its Gemini chatbot in recent months. Google briefly introduced its vision for a “universal AI agent” aimed to help users with daily tasks at the I/O developer conference in May, hinting that elements of the technology could be incorporated into Gemini soon. Recent insights from The Information have shed more light on its initiative, known internally as Project Jarvis.

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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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New Research Finds Sixteen Major Problems With RAG Systems, Including Perplexity

Unite.AI

A recent study from the US has found that the real-world performance of popular Retrieval Augmented Generation (RAG) research systems such as Perplexity and Bing Copilot falls far short of both the marketing hype and popular adoption that has garnered headlines over the last 12 months. The project, which involved extensive survey participation featuring 21 expert voices, found no less than 16 areas in which the studied RAG systems (You Chat, Bing Copilot and Perplexity) produced cause for concer

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Why You Should Be Polite To ChatGPT And Other AIs

Flipboard

In my latest conversation with ChatGPT, I caught myself saying "please" and "thank you." My wife, overhearing this, couldn't help but laugh at my politeness toward a machine. Had I gone too far in humanizing AI, or was I onto something more profound?

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Efficient Symptom Analysis Using a Small Language Model

Analytics Vidhya

This intelligent healthcare system uses a small language model MiniLM-L6-V2 to better understand and analyze medical information, such as symptoms or treatment instructions. The model turns text into “embeddings,” or meaningful numbers, that capture the context of the words. By using these embeddings, the system can compare symptoms effectively and make smart recommendations for conditions […] The post Efficient Symptom Analysis Using a Small Language Model appeared first on Analytics Vidh

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Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks - Microsoft Research

Flipboard

By Adam Fourney, Principal Researcher; Gagan Bansal, Senior Researcher; Hussein Mozannar, Senior Researcher; Victor Dibia, Principal Research Software Engineer; Saleema Amershi, Partner Research Manager Contributors: Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor […]

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Flood Risk Assessment Using Digital Elevation and the HAND Models

Analytics Vidhya

In early 2024, Brazil experienced heavy rainfall, particularly in the south and northeast regions, leading to floods that damaged cities, destroyed crops, and caused fatalities. As climate change increases the frequency of extreme weather conditions, such as droughts and floods, contingency planning and risk assessment are becoming increasingly crucial for managing such events.

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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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An AI polling startup makes its predictions for the 2024 US election

Flipboard

Young entrepreneurs who think their AI chatbots can model human behavior better than humans can, agreed to put their model to the test in the 2024 …

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How to Use Only 1 Metric in AB Tests

Towards AI

Last Updated on November 4, 2024 by Editorial Team Author(s): Pavel Zapolskii Originally published on Towards AI. The Most Important Number, or About the Main Product Metric Imagine a product you use every day — an online store, a streaming service, or a game. How do companies improve them? What to add, remove, or where to invest more resources? To answer this question in an enterprise setting, there exists a main product metric.

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60 of the best Harvard University courses you can take online for free

Flipboard

Dive deep into your favorite topics without spending anything. TL;DR: A wide range of online courses from Harvard University are available for free on edX.

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Product Walk Through: V7 Go – GenAI Legal Data Extraction

Artificial Lawyer

This week’s Product Walk Through is with V7 Labs and its genAI-driven Go capability for extracting key data from legal documents.

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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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Let’s not declare the death of SEO marketing too hastily

Flipboard

As AI abounds, is it time to say goodbye to the role of the SEO marketer? Not quite, says Louis Evans of Tug: professionals able to adapt and innovate will remain in demand – and prosper.

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Natural Language Generation Inside Out: Teaching Machines to Write Like Humans

Machine Learning Mastery

Natural language generation (NLG) is an enthralling area of artificial intelligence (AI) , or more specifically of natural language processing (NLP) , aimed at enabling machines to produce human-like text that drives human-machine communication for problem-solving.

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We're Recruiters. This Is The Biggest Tell You Used ChatGPT On Your Job App.

Flipboard

“A good recruiter can spot an AI-written application from a mile away." With the rise of AI-powered writing assistants, typing up your job application can be quicker than ever.

ChatGPT 106
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Exploring Causal Decision Theory Approach with Quantile Regression

Towards AI

Author(s): Shenggang Li Originally published on Towards AI. Using AI and Causal Decision Theory to Prioritize Restocking: Balancing Demand, Inventory Risk, and Product Importance This member-only story is on us. Upgrade to access all of Medium. Photo by Louis Hansel on Unsplash When facing uncertainties, predictions guide us in selecting the best project from various options.

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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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Android’s AirDrop Equivalent 'Quick Share' Might Come to Apple Devices

Extreme Tech

Google's Quick Share may soon bridge the Android-Apple divide, potentially bringing seamless file sharing to iOS and macOS users.

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Click, Scroll, Type — The AI Evolution

Towards AI

Last Updated on November 4, 2024 by Editorial Team Author(s): Myra Roldan Originally published on Towards AI. Anthropic Claude Computer Use Anthropic’s latest update to their AI models, Claude 3.5 Sonnet and Claude 3.5 Haiku, has introduced a new feature called “computer use.” An interesting choice of name for the service and a bit confusing on how that may work.

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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

NVIDIA

Enterprises and public sector organizations around the world are developing AI agents to boost the capabilities of workforces that rely on visual information from a growing number of devices — including cameras, IoT sensors and vehicles. To support their work, a new NVIDIA AI Blueprint for video search and summarization will enable developers in virtually any industry to build visual AI agents that analyze video and image content.

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OpenAI Introduces ‘Predicted Outputs’ Feature: Speeding Up GPT-4o by ~5x for Tasks like Editing Docs or Refactoring Code

Marktechpost

The use of large language models like GPT-4o and GPT-4o-mini has brought significant advancements in natural language processing, enabling high-quality response generation, document rewriting, and productivity enhancements across numerous applications. However, one of the biggest challenges these models face is latency. Whether it’s updating a blog post or refining lines of code, the lag associated with response generation can hinder seamless user experiences.

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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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68 Summaries of Machine Learning and NLP Research

Marek Rei

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. They cover a wide range of different topics, authors and venues. These are not meant to be reviews showing my subjective opinion, but instead I aim to provide a blunt and concise overview of the core contribution of each publication.

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5 Cursor AI Pro Tips

Towards AI

Author(s): Serj Smorodinsky Originally published on Towards AI. Data science perspective This member-only story is on us. Upgrade to access all of Medium. This is my take, you don’t have to take it If you think that a picture is worth 1000 words, then a video should be worth like a 100,000? Anyhow, you can watch me go over all of the sections live on my channel.

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SMART Filtering: Enhancing Benchmark Quality and Efficiency for NLP Model Evaluation

Marktechpost

Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test quality. As interest in language generation grows, standard model benchmarking faces challenges from rapidly saturated evaluation datasets, where top models reach near-human performance levels. Creating new, high-quality datasets is resource-intensive, demanding human annotation, data cleaning, and validation.

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Developing an AI-based application for caries index detection on intraoral photographs

Flipboard

This study evaluates the effectiveness of an Artificial Intelligence (AI)-based smartphone application designed for decay detection on intraoral photographs, comparing its performance to that of junior dentists. Conducted at The Aga Khan University Hospital, Karachi, Pakistan, this study utilized a dataset comprising 7,465 intraoral images, including both primary and secondary dentitions.

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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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pEBR: A Novel Probabilistic Embedding based Retrieval Model to Address the Challenges of Insufficient Retrieval for Head Queries and Irrelevant Retrieval for Tail Queries

Marktechpost

Creating a common semantic space where queries and items can be represented as dense vectors is the main goal of embedding-based retrieval. Instead of depending on precise keyword matches, this method enables effective matching based on semantic similarities. Semantically related things are positioned closer to one another in this common area since searches and items are embedded in this manner.

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Knowledge-based inductive bias and domain adaptation for cell type annotation

Flipboard

Measurement techniques often result in domain gaps among batches of cellular data from a specific modality. The effectiveness of cross-batch annotation methods is influenced by inductive bias, which refers to a set of assumptions that describe the behavior of model predictions. Different annotation methods possess distinct inductive biases, leading to varying degrees of generalizability and interpretability.

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Top 25 AI Assistants in 2025

Marktechpost

In the fast-paced digital age, AI assistants have become essential tools for enhancing productivity, managing workflows, and providing personalized support in our everyday lives. From voice-activated home devices to advanced chatbots, these AI assistants are designed to simplify tasks, answer questions, and help users stay organized, efficient, and informed.