Mon.Nov 11, 2024

article thumbnail

Do LLMs Remember Like Humans? Exploring the Parallels and Differences

Unite.AI

Memory is one of the most fascinating aspects of human cognition. It allows us to learn from experiences, recall past events, and manage the world's complexities. Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). They process and generate text that mimics human communication.

LLM 173
article thumbnail

Google DeepMind open-sources AlphaFold 3, ushering in a new era for drug discovery and molecular biology

Flipboard

Google DeepMind has unexpectedly released the source code and model weights of AlphaFold 3 for academic use, marking a significant advance that could accelerate scientific discovery and drug development.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Alix Melchy, VP of AI at Jumio – Interview Series

Unite.AI

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. An experienced AI leader, Melchy has a passion for turning AI-innovation into enterprise-grade AI systems, fostering the responsible practice of AI and shaping a secure digital landscape.

AI 162
article thumbnail

Brazilian fintech Tako emerges from stealth with sizable seed round led by a16z and Ribbit Capital

Flipboard

Running payroll is hard in any country, but perhaps especially so in Brazil thanks to consistently changing laws and extremely influential unions that make it significantly harder to get it right. Fernando Gadotti struggled with this as the co-founder of DogHero, LatAm’s version of Rover.

article thumbnail

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

article thumbnail

The Currency of Productivity: AI and the Human Element

Unite.AI

Within the last few years, the way we work has been completely overhauled by new workplace trends and technology. AI has rapidly redefined the rules of productivity in the business world ; emails, social media posts, images, presentations, and videos can all be generated within a matter of clicks, not days. But productivity is not defined by speed alone.

More Trending

article thumbnail

A Guide to Flax: Building Efficient Neural Networks with JAX

Analytics Vidhya

Flax is an advanced neural network library built on top of JAX, aimed at giving researchers and developers a flexible, high-performance toolset for building complex machine learning models. Flax’s seamless integration with JAX enables automatic differentiation, Just-In-Time (JIT) compilation, and support for hardware accelerators, making it ideal for both experimental research and production.

article thumbnail

Research: How Gen AI Is Already Impacting the Labor Market

Flipboard

A study of over 1 million job listings posted before and after the introduction of major gen AI tools reveals the effect they’re having on gig workers.

AI Tools 182
article thumbnail

AI Agents

Towards AI

Author(s): Heidar (Amir) Pirzadeh Originally published on Towards AI. Today, AI agents are at the forefront of innovation across major companies. Imagine you’ve been tasked with transforming an existing SaaS business to be powered by AI agents. Don’t worry — I’m here to help you! But why should you trust me, well, I began working on AI agents eight years ago, long before they became a buzzword.

AI 119
article thumbnail

Ai-Da robot just sold an artwork for $1 million. Yes, it made history.

Flipboard

The AI artist's portrait of Alan Turing took 15 individual paintings and a lot of conversation. We're living in the age of AI artists and AI art museums, so the fact that an AI-powered robot just made bank at an art auction shouldn't come as a surprise. But we're talking bank.

Robotics 168
article thumbnail

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?

article thumbnail

Top 10 Marketplace Questions, Answered

databricks

Databricks Marketplace is an open marketplace for data, analytics, and AI, powered by the open-source Delta Sharing standard. Since the release of Databricks.

AI 108
article thumbnail

Meta now allows military agencies to access its AI software. It poses a moral dilemma for everybody who uses it

Flipboard

The tech giant previously prohibited people from using its AI software for military purposes. The shift poses challenges not just for the public – but militaries as well.

AI 172
article thumbnail

Apple Patents Sensor-Equipped Watch Bands That Capture Blood Pressure, Heart Failure

Extreme Tech

Putting sensors in the wearable's band could unlock a host of health-monitoring features—if the patented device ever becomes an actual product.

107
107
article thumbnail

Google DeepMind releases code behind its most advanced protein prediction program

Flipboard

Better late than never: Google DeepMind has today released the computer code underlying its latest AI protein prediction software to an eager …

AI 180
article thumbnail

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

article thumbnail

Why Do Neural Networks Hallucinate (And What Are Experts Doing About It)?

Towards AI

Last Updated on November 11, 2024 by Editorial Team Author(s): Vitaly Kukharenko Originally published on Towards AI. AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools.

article thumbnail

How a stubborn computer scientist accidentally launched the deep learning boom

Flipboard

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence.

article thumbnail

Building an Interactive Chatbot For Pre-Existing Questions with LLM Integration to Chat with multiple CSV Files

Towards AI

Author(s): Ganesh Bajaj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Streamlit UI-Image Illustrated by Author There are multiple types of Chatbots: Rule Based ChatbotRAG Based ChatbotHybrid Chatbot This article covers how to create a chatbot using streamlit that answers questions using a pre-existing question-answer dataset along with an LLM integration to a csv file.

Chatbots 103
article thumbnail

Judge dismisses copyright lawsuit against OpenAI

Flipboard

Copying information is not the same as copying content. U.S. District Court Judge Colleen McMahon has dismissed a copyright lawsuit against OpenAI.

OpenAI 157
article thumbnail

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.

article thumbnail

Discover insights with the Amazon Q Business Microsoft Teams connector

AWS Machine Learning Blog

Microsoft Teams is an enterprise collaboration tool that allows you to build a unified workspace for real-time collaboration and communication, meetings, and file and application sharing. You can exchange and store valuable organizational knowledge within Microsoft Teams. Microsoft Teams data is often siloed across different teams, channels, and chats, making it difficult to get a unified view of organizational knowledge.

article thumbnail

AI’s False Time-Saving Promise. Or Why AI Is Like The Vacuum Cleaner

Flipboard

When the vacuum cleaner entered American homes in the early 20th century, it came with grand promises: freeing women from hours of drudgery, reducing household chores to a fraction of their former toil, and opening up more time for leisure.

AI 130
article thumbnail

SpaceX Wants to Give Mars Its Own Version of Starlink

Extreme Tech

'Marslink' would allow at least 4Mpbs of data to travel to the Red Planet and back.

112
112
article thumbnail

What CEOs Aren’t Telling Their Teams About AI

Flipboard

Your boss just paid $495 for another AI conference ticket. Three of your coworkers got laid off last month. Your company's job posts now list AI proficiency as a requirement for every role. See where this is going? The numbers are brutal. McKinsey predicts 400 million jobs will be gone by 2030.

AI 127
article thumbnail

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!

article thumbnail

Qwen Open Sources the Powerful, Diverse, and Practical Qwen2.5-Coder Series (0.5B/1.5B/3B/7B/14B/32B)

Marktechpost

In the world of software development, there is a constant need for more intelligent, capable, and specialized coding language models. While existing models have made significant strides in automating code generation, completion, and reasoning, several issues persist. The main challenges include inefficiency in dealing with a diverse range of coding tasks, lack of domain-specific expertise, and difficulty in applying models to real-world coding scenarios.

article thumbnail

4 ways AI is improving healthcare, according to one of the world's largest medical groups

Flipboard

We want AI that does no harm. We want AI that is likely to give you benefits with minimal risks. —Dr John D.

AI 159
article thumbnail

Ukraine: Downed Russian Drone Is Full of Western Tech

Extreme Tech

Ukraine's intelligence agency says the aircraft uses chips from Texas Instruments, Micron, STMicroelectronics, and others.

90
article thumbnail

A Practical Guide to Choosing the Right Algorithm for Your Problem: From Regression to Neural Networks

Flipboard

This article explains, through clear guidelines, how to choose the right machine learning (ML) algorithm or model for different types of real-world and business problems.

article thumbnail

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.

article thumbnail

Berkeley Lab Aims to Create New Superheavy Element 120

Extreme Tech

The team has validated a new particle accelerator technique that could lead to a new element.

103
103
article thumbnail

Generative AI models don't really understand how the world works, MIT study warns of AI limitations

Flipboard

A large language model (LLM) can supposedly mimic human intelligence and provide very convincing results based on a user's textual prompt. However, the model is simply predicting, sometimes with uncanny precision, the best words to put next to the previous ones in a specific textual context.

article thumbnail

Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart

AWS Machine Learning Blog

Generative AI models have seen tremendous growth, offering cutting-edge solutions for text generation, summarization, code generation, and question answering. Despite their versatility, these models often struggle when applied to niche or domain-specific tasks because their pre-training is typically based on large, generalized datasets. To address these gaps and maximize their utility in specialized scenarios, fine-tuning with domain-specific data is essential to boost accuracy and relevance.