Tue.Nov 07, 2023

article thumbnail

Elon Musk Introduces ‘Grok’: The Sassy AI Chatbot with a Dash of Rebellion

Analytics Vidhya

The tech world is abuzz with excitement. Elon Musk, the mastermind behind groundbreaking ventures like SpaceX and Tesla, introduces Grok, the latest creation to emerge from his new AI company, xAI. This chatbot, according to xAI, is inspired by “The Hitchhiker’s Guide to the Galaxy” It promises to possess “a bit of wit,” “a rebellious […] The post Elon Musk Introduces ‘Grok’: The Sassy AI Chatbot with a Dash of Rebellion appeared first on Ana

article thumbnail

IBM and Microsoft work together to bring Maximo Application Suite onto Azure

IBM Journey to AI blog

IBM and Microsoft believe in providing you with the power of choice so you can leverage the industry-leading asset management capabilities of Maximo Application Suite (MAS) deployed and operating on Azure. MAS is available from IBM or through the Microsoft Azure Marketplace. When you choose to invest in MAS, you’re not just purchasing a license; you’re embracing an opportunity to tailor your asset management journey precisely to your unique needs and aspirations.

professionals

Sign Up for our Newsletter

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

article thumbnail

OpenAI’s DevDay 2023 Unveils a New Era in AI Advancements and Customization

Analytics Vidhya

In a groundbreaking series of announcements at OpenAI DevDay 2023 event, the future of artificial intelligence is taking an exciting turn. OpenAI is introducing an array of new models, developer products that promise to enhance AI accessibility and power. Along with new exciting features, including a new way to customize ChatGPT called GPTs. These GPTs, […] The post OpenAI’s DevDay 2023 Unveils a New Era in AI Advancements and Customization appeared first on Analytics Vidhya.

OpenAI 314
article thumbnail

Automatically determine video sections with AI using Python

AssemblyAI

Video segmentation is the process of splitting a video into semantically-isolated sections. For example, if we have a video of a virtual meeting, then video segmentation would involve determining the timestamps at which new topics are discussed in the meeting. By doing so, we can make it easy for watchers to browse the video sections to easily find the information they are looking for.

Python 261
article thumbnail

How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

article thumbnail

Enhancing Scientific Document Processing with Nougat

Analytics Vidhya

Introduction In the ever-evolving field of natural language processing and artificial intelligence, the ability to extract valuable insights from unstructured data sources, like scientific PDFs, has become increasingly critical. To address this challenge, Meta AI has introduced Nougat, or “Neural Optical Understanding for Academic Documents,”, a state-of-the-art Transformer-based model designed to transcribe scientific PDFs into […] The post Enhancing Scientific Document Processing with No

More Trending

article thumbnail

What Are the Best Practices for Deploying PySpark on AWS?

Analytics Vidhya

Introduction In big data and advanced analytics, PySpark has emerged as a powerful tool for processing large datasets and analyzing distributed data. Deploying PySpark on AWS applications on the cloud can be a game-changer, offering scalability and flexibility for data-intensive tasks. Amazon Web Services (AWS) provides an ideal platform for such deployments, and when combined […] The post What Are the Best Practices for Deploying PySpark on AWS?

Big Data 302
article thumbnail

Putting data storage at the forefront of cloud security

IBM Journey to AI blog

We live in an era of unprecedented technology breakthroughs and opportunities. Recent advances in areas like AI and quantum computing offer transformative potential for businesses, but may also bring new risks and security challenges. IBM is working to address these challenges and evolving threats by helping organizations support highly secure, resilient and durable storage through technology like Cloud Object Storage.

Algorithm 224
article thumbnail

HitPaw Photo Enhancer Review: The Best AI Photo Enhancer?

Unite.AI

In today's era of digital photography, capturing and sharing moments has become easier than ever. However, sometimes, the quality of our photos may not meet our expectations. Blurriness, noise, and low light conditions can affect the clarity and overall appeal of our images. That's where tools like HitPaw Photo Enhancer come in! HitPaw is the best AI photo enhancer on the market, offering a range of features to improve image quality.

AI 162
article thumbnail

How Generative AI Will Transform Knowledge Work

Flipboard

Generative AI can be a boon for knowledge work, but only if you use it in the right way. New generative AI-enabled tools are rapidly emerging to assist and transform knowledge work in industries ranging from education and finance to law and medicine. Companies are starting to introduce generative AI-powered innovations into their processes, and to promulgate policies on how to use the tools safely.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

Join AssemblyAI at AWS re:Invent + Speech-to-Text AI Models

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Join us at AWS re:Invent We're excited to sponsor  AWS re:Invent ! From  Nov 27-30th , find us at  "The Generative AI Partner Pavilion", Booth #372 , where we'll showcase innovative ways to build AI-driven audio applications using our  Speech-to-Text API.

article thumbnail

Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available

Flipboard

“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift.

ETL 175
article thumbnail

Researchers from China Introduce ControlLLM: An Artificial Intelligence Framework that Enables Large Language Models (LLMs) to Utilize Multi-Modal Tools for Solving Complex Real-World Task

Marktechpost

The performance of LLMs in handling complex real-world tasks is impressive. However, there are cases where they may require assistance in using tools correctly due to vague user prompts, incorrect tool selection, and inadequate parameterisation and scheduling. To tackle these challenges, A group of researchers from The Hong Kong University of Science and Technology, OpenGVLab, Shanghai AI Laboratory, Tsinghua University and SenseTime proposes a ground-breaking framework called ControlLLM.

article thumbnail

What can you make with OpenAI’s GPT Builder? 5 early examples

Flipboard

Among the many new features OpenAI CEO Sam Altman announced yesterday at the company’s first-ever developer conference, DevDay — the most important may have been the new GPT Builder.

OpenAI 175
article thumbnail

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.

article thumbnail

Robots Get a ‘Gripping’ Upgrade: AO-Grasp Teaches Bots the Art of Not Dropping Your Stuff!

Marktechpost

In recent years, robots have found increased usage in various industries, from manufacturing to healthcare. However, their effectiveness in carrying out tasks largely depends on their ability to interact with the environment. One crucial aspect of this interaction is their ability to grasp objects. It is where AO-Grasp comes in – an innovative technology designed to generate stable and reliable grasps for articulated objects.

Robotics 127
article thumbnail

An AI just negotiated a contract for the first time ever — and no human was involved

Flipboard

In a world first, artificial intelligence demonstrated the ability to negotiate a contract autonomously with another artificial intelligence without …

article thumbnail

Top Important Computer Vision Papers for the Week from 30/10 to 5/11

Towards AI

Last Updated on November 8, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research On a weekly basis, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.

article thumbnail

Microsoft to use Oracle’s OCI Supercluster for Bing conversational searches

Flipboard

In an extension of their AI partnership, Oracle and Microsoft have signed a multiyear agreement to support the growing demand of Bing conversational …

AI 165
article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

The Choice for Businesses Between Open-Source and Proprietary Models To Deploy Generative AI

Towards AI

Last Updated on November 8, 2023 by Editorial Team Author(s): Faizan Ahmad, PhD Originally published on Towards AI. The surge of interest in Generative AI has sprung up over 350 companies in the field by mid-2023 [1], with value propositions that span from foundational models to specific use cases. This breadth of choice of vendors has necessitated a thoroughly informed decision by businesses looking to implement this nascent technology, in which the criteria should go beyond simply looking at b

article thumbnail

Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

Flipboard

No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

article thumbnail

Cohere AI Unveils Cohere’s Embed v3 Model: Offering State-of-the-Art Performance per Trusted MTEB and BEIR Benchmarks

Marktechpost

In text embedding models, a challenge has been finding the most relevant information amid a sea of text data, mainly when dealing with real-world data of varying quality. This problem can frustrate users seeking valuable information, posing a significant hurdle for developers and applications. Existing solutions have attempted to address this challenge, but they often need to deliver the most pertinent information.

AI 122
article thumbnail

OpenAI ChatGPT Opens The Door For You To Make Money By Easily Devising Income-Producing GPTs Based On What You Know Or What Others Want To Know

Flipboard

A golden opportunity has been unveiled by AI maker OpenAI for those of you who want to turn your use of ChatGPT and GPT-4 into a money-making activity. Yes, that’s right, serious dough could be had.

OpenAI 146
article thumbnail

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.

article thumbnail

This AI Paper Unveils DiffEnc: Advancing Diffusion Models for Enhanced Generative Performance

Marktechpost

Diffusion models are powerful models that are prominent in a diverse range of generation tasks – images, speech, video, and music. They are able to achieve state-of-the-art performance in image generation, with superior visual quality and density estimation. Diffusion models define a Markov Chain of diffusion steps to gradually add random noise to the images and then learn to reverse the process to generate desired high-quality images.

AI 119
article thumbnail

The AI market boom is real — and these are its 8 most influential players

Flipboard

On a Wednesday afternoon in May, Colette Kress kicked off an investor conference call by talking through the latest financials at Nvidia. The chief financial.

AI 148
article thumbnail

Data Science vs Machine Learning and Artificial Intelligence: The Difference Explained (2024)

Great Learning

While the terms Data Science, Artificial Intelligence (AI), and Machine learning fall in the same domain and are connected, they have specific applications and meanings. There may be overlaps in these domains now and then, but each of these three terms has unique uses. Here is a brief about Data Science vs. Machine Learning vs. … Data Science vs Machine Learning and Artificial Intelligence: The Difference Explained (2024) Read More » The post Data Science vs Machine Learning and Artificial

article thumbnail

Figma’s new AI-powered tools will make your meetings suck less

Flipboard

FigJam AI is Figma’s first native AI product. Design software companies like to make big promises about the creative potential of their AI tools. With its new AI features, Figma is making one of the most enticing promises of all: It’s going to make your meetings better.

AI Tools 139
article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

article thumbnail

This AI newsletter is all you need #72

Towards AI

Last Updated on November 8, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, AI news was dominated by OpenAI’s Devday and the launch of many new models and features, which drowned out Elon Musk’s earlier entry into the LLM race with xAI’s Grok GPT-3 class model.

article thumbnail

ChatGPT is no longer as clueless about recent events

Flipboard

You can now ask both GPT-3.5 and GPT-4.0​ chatbots more topical questions without them apologizing for the lack of real-time information.

ChatGPT 149
article thumbnail

This AI Paper Has Moves: How Language Models Groove into Offline Reinforcement Learning with ‘LaMo’ Dance Steps and Few-Shot Learning

Marktechpost

Researchers introduce Language Models for Motion Control (LaMo), a framework using Large Language Models (LLMs) for offline reinforcement learning. It leverages pre-trained LLMs to enhance RL policy learning, employing Decision Transformers (DT) initialized with LLMs and LoRA fine-tuning. LaMo outperforms existing methods in sparse-reward tasks and narrows the gap between value-based offline RL and decision transformers in dense-reward tasks, particularly excelling in scenarios with limited data