March, 2023

article thumbnail

Choosing the Right Python Environment Tool for Your Next Project

Analytics Vidhya

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

Python 383
article thumbnail

Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

To do this, we introduce a number of modifications to the original Conformer architecture. For example, our Conformer-1 is built on top of the Efficient Conformer [ 3 ], a modification of the original Conformer architecture that introduces the following technical modifications: Progressive Downsampling – A progressive reduction scheme for the length of the encoded sequence, inspired by ContextNet [ 4 ].

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

The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Medium »

article thumbnail

Cryptocurrencies add nothing useful to society, says chip-maker Nvidia

Flipboard

The US chip-maker Nvidia has said cryptocurrencies do not “bring anything useful for society” despite the company’s powerful processors selling in huge quantities to the sector.

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

Visualizing a PyTorch Model

Machine Learning Mastery

PyTorch is a deep learning library. You can build very sophisticated deep learning models with PyTorch. However, there are times you want to have a graphical representation of your model architecture. In this post, you will learn: How to save your PyTorch model in an exchange format How to use Netron to create a graphical […] The post Visualizing a PyTorch Model appeared first on MachineLearningMastery.com.

More Trending

article thumbnail

Pytorch Tensors and its Operations

Analytics Vidhya

Introduction The advancement of interest in Deep Learning in recent years and the explosion of Machine Learning tools like TensorFlow, PyTorch, etc., will also be cited, which will provide ease of use and easy debugging of codes. Many popular frameworks such as MxNet, Tensorflow, Jax, PaddlePaddle, Caffe 2, Mindspore, and Theano will gain popularity because […] The post Pytorch Tensors and its Operations appeared first on Analytics Vidhya.

article thumbnail

Emergent Abilities of Large Language Models

AssemblyAI

Language models (LMs) are a class of probabilistic models that learn patterns in natural language. LMs can be utilized for generative purposes to generate, say, the next event in a story by exploiting their knowledge of these patterns. In recent years, significant efforts have been put into scaling LMs into Large Language Models (LLMs). The scaling process - training bigger models on more data with greater compute - leads to steady and predictable improvements in their ability to learn these pat

article thumbnail

Unboxing Google Bard and GPT-4

Cassie Kozyrkov

A first look at two major AI releases Continue reading on Towards Data Science »

article thumbnail

Microsoft research head Peter Lee on the implications of GPT-4 for medicine

Flipboard

Microsoft research head Peter Lee. (GeekWire File Photo / Clare McGrane) Peter Lee has spent a lot of time recently with GPT-4, the AI-powered tool that simulates human conversation, built by OpenAI with contributions from its partner Microsoft. “I lost a couple weeks of sleep,” said Lee at a lecture Monday at the University of Washington. “It was very intense.” Lee, head of Microsoft Research, is tasked with assessing the implications of the tool for healthcare.

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

LSTM for Time Series Prediction in PyTorch

Machine Learning Mastery

Long Short-Term Memory (LSTM) is a structure that can be used in neural network. It is a type of recurrent neural network (RNN) that expects the input in the form of a sequence of features. It is useful for data such as time series or string of text. In this post, you will learn about […] The post LSTM for Time Series Prediction in PyTorch appeared first on MachineLearningMastery.com.

article thumbnail

OpenAI Delivers Summary of GPT-4’s Abilities

ODSC - Open Data Science

OpenAI has announced that GPT-4 is currently in development, and while there are no official release dates, there is plenty of excitement surrounding what this latest iteration of the GPT series may be capable of. Currently, it will be made available to ChatGPT Plus users and as an API for developers to build applications and services according to OpenAI’s announcement.

OpenAI 142
article thumbnail

Creating Interactive and Animated Charts with ipyvizzu

Analytics Vidhya

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

article thumbnail

AI trends in 2023: Graph Neural Networks

AssemblyAI

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. In the last couple of years Graph Neural Networks have quietly become the dark horse behind a wealth of exciting new achievements that have made it all the way from purely academic research breakthroughs to actual solutions actively deployed at large-scale.

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

Designing great AI products?—?Personality and emotion

Becoming Human

Designing great AI products — Personality and emotion The following post is an excerpt from my book ‘Designing Human-Centric AI Experiences’ on applied UX design for Artificial intelligence. — Photo by Jason Leung on Unsplash We tend to anthropomorphize AI systems, i.e., we impute them with human-like qualities. Consumer demand for personality in AI dates back many decades in Hollywood and the video game industry ¹.

UX Design 141
article thumbnail

OpenAI’s GPT-4 violates FTC rules, argues AI policy group

Flipboard

The Federal Trade Commission (FTC) received a new complaint today from the Center for AI and Digital Policy (CAIDP), which calls for an investigation of OpenAI and its product GPT-4.

article thumbnail

Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe. However, some of these languages are spoken by fewer than twenty million people, so a core challenge is how to support languages for which there are rel

article thumbnail

How Newton calculated pi to 16 decimal places

SAS Software

Happy Pi Day! Every year on March 14th (written 3/14 in the US), people in the mathematical sciences celebrate "all things pi-related" because 3.14 is the three-decimal approximation to π ≈ 3.14159265358979. Modern computer methods and algorithms enable us to calculate 100 trillion digits of π However, I think it [.] The post How Newton calculated pi to 16 decimal places appeared first on SAS Blogs.

Algorithm 130
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

Top 10 AI Email Automation Tools to Use in 2023

Analytics Vidhya

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. These tools can also help businesses save time and resources by automating repetitive tasks and providing insights into customer behavior.

article thumbnail

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning Blog

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. For customers who have been developing ML models on premises, such as their local desktop, they want to migrate their legacy ML models to the AWS Cloud to fully take advantage of the most comprehensive set of ML services, infrastructure, and implementation resources available on AWS.

article thumbnail

AI Drug Discovery: How It’s Changing the Game

Becoming Human

AI drug discovery is exploding. Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

article thumbnail

GPT-4 kicks AI security risks into higher gear

Flipboard

As Arthur C. Clarke once put it, any sufficiently advanced technology is “indistinguishable from magic.” Some might say this is true of ChatGPT, too — including, if you will, black magic.

ChatGPT 182
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

Performer-MPC: Navigation via real-time, on-robot transformers

Google Research AI blog

Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see many mobile robots roaming our homes, offices, and streets. Real-world robot navigation in human-centric environments remains an unsolved problem. These challenging situations require safe and efficient navigation through tight spaces, such as squeezing between coffee tables and couches, maneuvering in tight corners,

Robotics 135
article thumbnail

Accelerating Delivery with CI/CD – Navigating the Journey

SAS Software

SAS' Mary Carter details challenges and benefits of accelerating the delivery of SAS software. The post Accelerating Delivery with CI/CD – Navigating the Journey appeared first on SAS Blogs.

128
128
article thumbnail

Applications of Machine Learning and AI in Banking and Finance in 2023

Analytics Vidhya

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question. The keys to business success are sophisticated, intelligent security systems […] The post Applications of Machine Learning and AI in Banking and Finance in 2023 appeared first on Analyt

article thumbnail

GPT-4

OpenAI

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while worse than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

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

What is MultiModal in AI?

Becoming Human

pixabay.com The multimodal model is an important concept in the field of artificial intelligence that refers to the integration of multiple modes of information or sensory data to facilitate human-like reasoning and decision-making. Traditionally, AI models have focused on processing information from a single modality, such as text, image, or speech.

article thumbnail

Hacker demonstrates security flaws in GPT-4 just one day after launch

Flipboard

OpenAI’s powerful new language model, GPT-4, was barely out of the gates when a student uncovered vulnerabilities that could be exploited for malicious ends. The discovery is a stark reminder of the security risks that accompany increasingly capable AI systems.

OpenAI 182
article thumbnail

Detecting novel systemic biomarkers in external eye photos

Google Research AI blog

Posted by Boris Babenko, Software Engineer, and Akib Uddin, Product Manager, Google Research Last year we presented results demonstrating that a deep learning system (DLS) can be trained to analyze external eye photos and predict a person’s diabetic retinal disease status and elevated glycated hemoglobin (or HbA1c, a biomarker that indicates the three-month average level of blood glucose).