Tue.Oct 22, 2024

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Supercharging Operations with AI for Faster Success

Unite.AI

Efficiency isn’t just a competitive advantage anymore—it’s a business imperative. Achieving operational excellence means more than adopting new tools; it requires a complete rethinking of how operations are run. That’s where artificial intelligence comes in. AI isn’t simply automating routine tasks; it’s transforming how businesses forecast demand, manage supply chains, make data-driven decisions, and respond to real-time challenges.

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Anthropic unveils new Claude AI models and ‘computer control’

AI News

Anthropic has announced upgrades to its AI portfolio, including an enhanced Claude 3.5 Sonnet model and the introduction of Claude 3.5 Haiku, alongside a “computer control” feature in public beta. The upgraded Claude 3.5 Sonnet demonstrates substantial improvements across all metrics, with particularly notable advances in coding capabilities. The model achieved an impressive 49.0% on the SWE-bench Verified benchmark, surpassing all publicly available models, including OpenAI’s offerings an

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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement. Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics.

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Penguin Random House protects its books from AI training use

AI News

Penguin Random House (PRH) has taken a significant step in response to rising concerns about the use of intellectual property to train AI systems. The publisher has introduced a new statement to the copyright pages of both new and reprinted books, stating, “No part of this book may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems.” This change is supplemented by a section that excludes PRH’s works from the European

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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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How to build a free Whisper API with GPU backend

AssemblyAI

More and more developers are embedding Speech AI into their applications to build modern user experiences. These features range from straightforward Speech-to-Text capabilities to more complicated Audio Intelligence and LLM-powered features like PII redaction call/video summaries. For developers looking to explore this landscape, Whisper is a great choice for Speech-to-Text.

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Tennr Secures $37M Series B to Revolutionize Healthcare Document Processing with AI

Unite.AI

Healthcare AI startup Tennr has secured $37 million in a Series B funding round, just six months after its $18 million Series A. Led by Lightspeed Ventures , with participation from a16z and Foundation Capital , this latest round brings Tennr’s total funding to over $61 million. Tennr is using artificial intelligence (AI) to revolutionize how healthcare organizations manage and process the mountains of documents that flow through their practices daily.

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EU AI Act: Early prep could give businesses competitive edge

AI News

The EU AI Act is set to fully take effect in August 2026, but some provisions are coming into force even earlier. The legislation establishes a first-of-its-kind regulatory framework for AI systems, employing a risk-based approach that categorises AI applications based on their potential impact on safety, human rights, and societal wellbeing. “Some systems are banned entirely, while systems deemed ‘high-risk’ are subject to stricter requirements and assessments before deploymen

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Sub-Quadratic Systems: Accelerating AI Efficiency and Sustainability

Unite.AI

Artificial Intelligence (AI) is changing our world incredibly, influencing industries like healthcare, finance, and retail. From recommending products online to diagnosing medical conditions, AI is everywhere. However, there is a growing problem of efficiency that researchers and developers are working hard to solve. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs.

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7 Popular Multimodal Models and their Uses

Analytics Vidhya

The rapid advancement of artificial intelligence (AI) has led to a new era of models designed to process and generate data across multiple modalities. These include text, images, audio, and video. These multimodal models are increasingly used in various applications, from content creation to advanced analytics. This article will introduce you to the concept of […] The post 7 Popular Multimodal Models and their Uses appeared first on Analytics Vidhya.

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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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AI and Automation Transforming Quality Engineering: Insights from the 2024 World Quality Report

Unite.AI

The World Quality Report 2024-25 by OpenText sheds light on groundbreaking trends shaping Quality Engineering (QE) and testing practices globally. With over 1,775 executives surveyed across 33 countries, the report uncovers how AI, automation, and sustainability are transforming the landscape of quality assurance. As AI technology progresses, organizations are being called to adopt new, innovative solutions for QE, especially as Generative AI (Gen AI) takes center stage.

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A new Copilot tool will give Institut Curie researchers more time to focus on cancer

Microsoft AI

The most precious resources at Institut Curie are their people, who have devoted years to advanced studies. Copilot for Researcher is an agent that can help them with some of the administrative tasks in their jobs so they have more time to spend on actual new ideas.

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Ryan Kolln, CEO at Appen – Interview Series

Unite.AI

Ryan Kolln is the Chief Executive Officer and Managing Director of Appen. Ryan brings over 20 years of global experience in technology and telecommunications, along with a deep understanding of Appen’s business and the AI industry. His professional career began as an engineer, with a focus on mobile network data engineering in Australia, Asia and North America.

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What Is Agentic AI?

NVIDIA

AI chatbots use generative AI to provide responses based on a single interaction. A person makes a query and the chatbot uses natural language processing to reply. The next frontier of artificial intelligence is agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity and operations across industries.

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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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Mark Cuban: If I were 16 again, I’d start this lucrative side hustle—it can pay 6 figures a year and doesn't require a degree

Flipboard

If billionaire entrepreneur and investor Mark Cuban was a teenager again, and in need of cash, he'd start one specific side hustle in just three steps.

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Microsoft To Roll Out ‘Autonomous Agents’

Artificial Lawyer

Microsoft is rolling out ‘a new set of capabilities that enable you to build autonomous agents’, which will ‘understand the nature of your work and act on your behalf – providing support acro…

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Generative Reward Models (GenRM): A Hybrid Approach to Reinforcement Learning from Human and AI Feedback, Solving Task Generalization and Feedback Collection Challenges

Marktechpost

Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the environment. Traditionally, reinforcement learning relies on rewards for positive actions and penalties for negative ones. A recent approach, Reinforcement Learning from Human Feedback (RLHF), has brought remarkable improvements to large language models (LLMs) by incorporating human preferences into the training process.

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Implement Amazon SageMaker domain cross-Region disaster recovery using custom Amazon EFS instances

AWS Machine Learning Blog

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Extensively used by data scientists and ML engineers across various industries, this robust tool provides high availability and uninterrupted access for its users. When working with SageMaker, your environment resides within a SageMaker domain, which encompasses critical components like Amazon Elastic File System (Am

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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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Microsoft AI Introduces Activation Steering: A Novel AI Approach to Improving Instruction-Following in Large Language Models

Marktechpost

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length. This is particularly important for industries like legal, healthcare, or technical fields, where generating text that adheres to strict guidelines is crucial.

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Introducing Simple, Fast, and Scalable Batch LLM Inference on Mosaic AI Model Serving

databricks

Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.

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FunnelRAG: A Novel AI Approach to Improving Retrieval Efficiency for Retrieval-Augmented Generation

Marktechpost

Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. This approach involves two primary components: a retrieval module that finds relevant external information and a generation module that uses this information to produce accurate responses.

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Top Firms Don’t Fear GenAI, But Others Do: PwC Survey

Artificial Lawyer

This year’s comprehensive PwC UK 100 law firm survey has found that the Top 10 largest firms see genAI as providing increased profits and revenue, but about half of smaller firms expect a negative …

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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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Discrete Diffusion with Planned Denoising (DDPD): A Novel Machine Learning Framework that Decomposes the Discrete Generation Process into Planning and Denoising

Marktechpost

Generative AI models have become highly prominent in recent years for their ability to generate new content based on existing data, such as text, images, audio, or video. A specific sub-type, diffusion models, produces high-quality outputs by transforming noisy data into a structured format. Even though the model is significantly advanced, it still lacks control over corrupted data points, leading to suboptimal and slower outputs.

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[The AI Show Episode 120]: OpenAI-Microsoft Drama, Major Study on AI Job Impact, Sequoia's New GenAI Market Analysis, NotebookLM Updates & Adobe Max 2024

Marketing AI Institute

OpenAI and Microsoft's 'bromance' on the rocks? Plus, AI's looming impact on your career. Join Mike and Paul as they unpack the growing tension between OpenAI and Microsoft, Brookings Institution's eye-opening report on generative AI's potential impact on the U.S. workforce, and Sequoia Capital's latest market analysis, which predicts a new era of "thinking slow" AI.

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CMU Researchers Release Pangea-7B: A Fully Open Multimodal Large Language Models MLLMs for 39 Languages

Marktechpost

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. This emphasis has resulted in a significant gap in linguistic and cultural representation, with many languages and cultural contexts around the world remaining underrepresented. Consequently, existing models often perform poorly in multilingual environments and fail to align with the socio-cultural norms of underrepresented languag

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Rift Between Junior and Senior Developers

O'Reilly Media

I’m worried about AI. I’m not worried about it taking my job. I believe AI is a genuine productivity tool. By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem.

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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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MUSCLE: A Model Update Strategy for Compatible LLM Evolution

Machine Learning Research at Apple

Large Language Models (LLMs) are regularly updated to enhance performance, typically through changes in data or architecture. Within the update process, developers often prioritize improving overall performance metrics, paying less attention to maintaining compatibility with earlier model versions. Instance-level degradation (instance regression) of performance from one model version to the next can interfere with a user's mental model of the capabilities of a particular language model.

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Elon Musk Faces Lawsuit After Using 'Blade Runner 2049' Imagery for Tesla Robotaxi

Extreme Tech

The impetuous CEO was reportedly denied use of copyrighted 'Blade Runner' iconography but decided to use it anyway.

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Thomson Reuters Buys Materia Agentic AI Platform

Artificial Lawyer

Thomson Reuters has acquired Materia, a US-based agentic AI platform for tax, audit and accounting. The move comes as interest in AI agents reaches a.

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