Unite.AI

OCTOBER 31, 2024

Today’s business landscape is arguably more competitive and complex than ever before: Customer expectations are at an all-time high and businesses are tasked with meeting (or exceeding) those needs, while simultaneously creating new products and experiences that will provide consumers with even more value. At the same time, many organizations are strapped for resources, contending with budgetary constraints, and dealing with ever-present business challenges like supply chain latency.

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AssemblyAI

OCTOBER 31, 2024

The transition to online communication—from sales calls to internal meetings to educational coursework—has created significant opportunities for new AI-powered tools and platforms that help individuals fully use all this digital data.  One predominant AI feature that has risen in popularity is AI-powered transcript summarizers. In addition to providing an immediate transcript of a virtual meeting or lecture (using AI speech-to-text ), AI transcript summarizers can summarize th

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Unite.AI

OCTOBER 31, 2024

Anthropic has just released Claude 3.5, a powerful new version of its LLM series. While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” This capability lets developers guide Claude to interact with the computer like a person—navigating screens, moving cursors, clicking, and typing.

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Flipboard

OCTOBER 31, 2024

With OpenAI’s new real-time search feature, ChatGPT is positioning itself as a competitor to traditional search engines like Google.

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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

Marktechpost

OCTOBER 31, 2024

In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks. The widespread use of massive LLMs like GPT-4 and Meta’s LLaMA has revealed their limitations when it comes to resource efficiency. These models, despite their impressive capabilities, often demand substantial computational power and memory, making them unsuitable for many users, particularly

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AssemblyAI

OCTOBER 31, 2024

Building AI applications with speech recognition should be straightforward: process audio, get structured data, take action. Yet despite the industry's claims of +90% accuracy, developers face a persistent challenge: the gap between raw audio files and reliable, structured outputs. The hidden cost of "good enough" speech-to-text Consider a simple example: Your application needs to parse "sarah.johnson@acme-corp.com" from an audio stream.

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Flipboard

OCTOBER 31, 2024

The analyst firm used this year's trends list to spotlight the role of AI in the enterprise, especially as vendors change how AI agents are delivered.

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Machine Learning Research at Apple

OCTOBER 31, 2024

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user's device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy.

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Flipboard

OCTOBER 31, 2024

AI tools like ChatGPT and Perplexity, combined with automation software Make, to research individuals efficiently.

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

IBM Journey to AI blog

OCTOBER 31, 2024

IBM Build Partner Inspire for Solutions Development is a regional consulting firm that provides enterprise IT solutions across the Middle East. Jad Haddad , Head of AI at Inspire for Solutions Development has embraced the IBM watsonx™ AI and data platform to enhance the HR experience for its 450 employees. Next-gen HR for a next-gen workforce As a new generation of digital natives enters the workforce, we are seeing new expectations around the employee experience.

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Unite.AI

OCTOBER 31, 2024

Amy Brown , a former healthcare executive, founded Authenticx in 2018 to help healthcare organizations unlock the potential of customer interaction data. With two decades of experience in the healthcare and insurance industries, she saw the missed opportunities in using customer conversations to drive business growth and improve profitability. Authenticx addresses this gap by utilizing AI and natural language processing to analyze recorded interactions—such as calls, emails, and chats—providing

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AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes.

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Extreme Tech

OCTOBER 31, 2024

Big changes are coming to Google Maps on your phone this week.

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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?

Business Intelligence

Artificial Lawyer

OCTOBER 31, 2024

By Judie Rahman, Senior Solutions Manager at BigHand. BigHand recently surveyed over 800 legal professionals and found 35% of participating law firms confirmed that reviewing.

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Automation 119

Extreme Tech

OCTOBER 31, 2024

CEO Pat Gelsinger made comments that allegedly offended TSMC.

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Towards AI

OCTOBER 31, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! As we wrap up October, we’ve compiled a bunch of diverse resources for you — from the latest developments in generative AI to tips for fine-tuning your LLM workflows, from building your own NotebookLM clone to instruction tuning. We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy.

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Extreme Tech

OCTOBER 31, 2024

AMD says it's 8% faster in gaming than the 7800X3D.

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Towards AI

OCTOBER 31, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. However, data quality is still a major challenge: if the data that is fed into a model lacks quality/consistency, the resulting output will also be of low quality.

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Extreme Tech

OCTOBER 31, 2024

It's a long way off, though.

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ChatGPT 116

AWS Machine Learning Blog

OCTOBER 31, 2024

Amazon SageMaker Ground Truth enables the creation of high-quality, large-scale training datasets, essential for fine-tuning across a wide range of applications, including large language models (LLMs) and generative AI. By integrating human annotators with machine learning, SageMaker Ground Truth significantly reduces the cost and time required for data labeling.

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Extreme Tech

OCTOBER 31, 2024

Demand for compute power is far outstripping GPU supply in Japan.

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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

AI

Towards AI

OCTOBER 31, 2024

Author(s): Rafe Brena, Ph.D. Originally published on Towards AI. They stayed buried for 20 years This member-only story is on us. Upgrade to access all of Medium. Image by the author using Ideogram I worked on AI full-time for over 30 years, at least 10 of them in an area called “Multiagent Systems,” Intelligent Agents, or simply “Agents,” depending on who you ask.

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Artificial Intelligence Artificial Intelligence AI AI 100

Extreme Tech

OCTOBER 31, 2024

The latest Voyager glitch has forced the probe to fall back to an S-band radio that NASA can barely pick up from billions of miles away.

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Marktechpost

OCTOBER 31, 2024

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces. However, explainability is an issue as they are ‘black boxes,’ so to say, hiding their inner working.

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Machine Learning Mastery

OCTOBER 31, 2024

Python is the most popular data science programming language, as it’s versatile and has a lot of support from the community. With so much usage, there are many ways to improve our data science workflow that you might not know.

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Data Science Python 98

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Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

Marktechpost

OCTOBER 31, 2024

In the vast world of AI tools, a key challenge remains: delivering accurate, real-time information. Traditional search engines have dominated our digital lives, helping billions find answers, yet they often fall short in providing personalized, conversational responses. Large language models like OpenAI’s ChatGPT transformed how we interact with information, but they were limited by outdated training data, reducing their utility in dynamic, real-time situations.

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NVIDIA

OCTOBER 31, 2024

A new AI-powered, imaging-based technology that creates accurate three-dimensional models of tumors, veins and other soft tissue offers a promising new method to help surgeons operate on, and better treat, breast cancers. The technology, from Illinois-based startup SimBioSys, converts routine black-and-white MRI images into spatially accurate, volumetric images of a patient’s breasts.

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Marktechpost

OCTOBER 31, 2024

In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of the biggest frustrations has been the slow and often cumbersome process of loading trained models for inference. Whether models are stored locally or in the cloud, inefficiencies during loading can create frustrating bottlenecks, reducing productivity and delaying the delivery of valuable insights.

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