Thu.Oct 10, 2024

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Many organisations unprepared for AI cybersecurity threats

AI News

While AI improves the detection of cybersecurity threats, it simultaneously ushers in more advanced challenges. Research from Keeper Security finds that, despite the implementation of AI-related policies, many organisations remain inadequately prepared for AI-powered threats. 84% of IT and security leaders find AI-enhanced tools have exacerbated the challenge of detecting phishing and smishing attacks, which were already significant threats.

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5 Types of AI Agents that you Must Know About

Analytics Vidhya

Introduction What if machines could make their own decisions, solve problems, and adapt to new situations just like we do? This would potentially lead to a world where artificial intelligence becomes not just a tool but a collaborator. That’s exactly what AI agents aim to achieve! These smart systems are designed to understand their surroundings, […] The post 5 Types of AI Agents that you Must Know About appeared first on Analytics Vidhya.

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China Telecom trains AI model with 1 trillion parameters on domestic chips

AI News

China Telecom, one of the country’s state-owned telecom giants, has created two LLMs that were trained solely on domestically-produced chips. This breakthrough represents a significant step in China’s ongoing efforts to become self-reliant in AI technology, especially in light of escalating US limitations on access to advanced semiconductors for its competitors.

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Top 4 Agentic AI Design Patterns for Architecting AI Systems

Analytics Vidhya

Introduction Learning is a continuous journey, whether you’re human or an AI model. However, one question that often comes up is, can these AI models learn themselves just like humans do? As per the recent developments – They can. To understand this in a better way, let’s go back to our college days when C++, […] The post Top 4 Agentic AI Design Patterns for Architecting AI Systems appeared first on Analytics Vidhya.

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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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AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

AI Weekly

Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Google's Nobel prize winners stir debate over AI research Google has been at the forefront of AI research, but has been forced on the defensive as it tackles competitive pressure from Microsoft-backed (MSFT.O), opens new tab OpenAI and mounting regulatory scrutiny from the U.S Department of Justice. reuters.com Sponsor Personaliz

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How AI is Reshaping Auto Insurance from Claims to Compliance

Unite.AI

The auto insurance industry is experiencing a transformative shift driven by AI reshaping everything from claims processing to compliance. AI is not just an operational tool but a strategic differentiator in delivering customer value. AI advancements are enhancing underwriting precision, streamlining claims management, simplifying distribution, while elevating customer service through personalized experiences.

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Automate Data Insights with LIDA’s Intelligent Visualization

Analytics Vidhya

Introduction Language-Integrated Data Analysis (LIDA) is a powerful tool designed to automate visualization creation, enabling the generation of grammar-agnostic visualizations and infographics. LIDA addresses several critical tasks: interpreting data semantics, identifying appropriate visualization goals, and generating detailed visualization specifications.

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ApertureData Secures $8.25M Seed Funding and Launches ApertureDB Cloud to Revolutionize Multimodal AI

Unite.AI

ApertureData , a company at the forefront of multimodal AI data management, has raised $8.25 million in an oversubscribed seed round to drive the development and expansion of its groundbreaking platform, ApertureDB. The round was led by TQ Ventures with participation from Westwave Capital , Interwoven Ventures , and a number of angel investors. The funding will allow ApertureData to scale its operations and launch its new cloud-based service, ApertureDB Cloud, a tool designed to simplify and acc

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5 Real-Life Use Cases of AI Agents for Day-to-Day Work

Analytics Vidhya

Introduction AI agents are all set to become the next revolution in the GenAI Paradigm. The modern-day agent’s ability to harness AI to think and reason has enabled humans to truly automate routine tasks. The creation of AI agent frameworks and architectures like AutoGen, Crew AI, LangChain, etc, have come in handy in pushing the […] The post 5 Real-Life Use Cases of AI Agents for Day-to-Day Work appeared first on Analytics Vidhya.

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Optimizing The Modern Developer Experience with Coder

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.

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Rohit Aggarwal, COO at DecisionNext – Interview Series

Unite.AI

Rohit Aggarwal is Chief Operating Officer at DecisionNext , a leading AI platform that enables companies to optimize the buying or selling of commodities at the best possible time and price. He leverages a strong background in supply chain and product management as well as experience directly leading very large teams to execute complex multi-disciplinary projects and deliver business results.

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AI’ll Be by Your Side: Mental Health Startup Enhances Therapist-Client Connections

NVIDIA

Half of the world’s population will experience a mental health disorder — but the median number of mental health workers per 100,000 people is just 13, according to the World Health Organization. To help tackle this disparity — which can vary by over 40x between high-income and low-income countries — a Madrid-based startup is offering therapists AI tools to improve the delivery of mental health services.

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The Financial Challenges of Leading in AI: A Look at OpenAI’s Operating Costs

Unite.AI

OpenAI is currently facing significant financial challenges. For example, in 2023, it was reported that to maintain its infrastructure and run its flagship product, OpenAI pays around $700,000 per day. However, in 2024, the company's total spending on inference and training could reach $7 billion , driven by increasing computational demands. This large operational cost highlights the immense resources required to maintain advanced AI systems.

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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Machine Learning Research at Apple

Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K benchmark is widely used to assess the mathematical reasoning of models on grade-school-level questions. While the performance of LLMs on GSM8K has significantly improved in recent years, it remains unclear whether their mathematical reasoning capabilities have genuinely advanced, raising questions about the reliability of the reported metrics.

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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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Google AI Introduces Tx-LLM: A Large Language Model (LLM) Fine-Tuned from PaLM-2 to Predict Properties of Many Entities that are Relevant to Therapeutic Development

Marktechpost

Developing therapeutics is costly and time-consuming, often taking 10-15 years and up to $2 billion, with most drug candidates failing during clinical trials. A successful therapeutic must meet various criteria, such as target interaction, non-toxicity, and suitable pharmacokinetics. Current AI models focus on specialized tasks within this pipeline, but their limited scope can hinder performance.

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The Next Chapter Awaits: Dive Into ‘Diablo IV’s’ Latest Adventure ‘Vessel of Hatred’ on GeForce NOW

NVIDIA

Prepare for a devilishly good time this GFN Thursday as the critically acclaimed Diablo IV: Vessel of Hatred downloadable content (DLC) joins the cloud, one of six new games available this week. GeForce NOW also extends its game-library sync feature to Battle.net accounts, so members can seamlessly bring their favorite Blizzard games into their cloud-streaming libraries.

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Forecasting: Stories of Time Series, LLMs, Causality, and Cats

Towards AI

Last Updated on October 12, 2024 by Editorial Team Author(s): Dr. Alessandro Crimi Originally published on Towards AI. Can a Foundation Model Revolutionize Time Series Forecasting, or are we stuck with Granger causality? This member-only story is on us. Upgrade to access all of Medium. What is the effect and the cause? (royalty-free picture from www.pexels.com) For causality, we define the influence by which one event, process, state, or contributes to the production of another event, process, s

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Announcing the General Availability of Databricks Assistant Autocomplete

databricks

Today, we are excited to announce the general availability of Databricks Assistant Autocomplete on all cloud platforms. Assistant Autocomplete provides personalized AI-powered code.

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The Cloud Development Environment Adoption Report

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.

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DARPA Responds to China's Gallium Restrictions With New Push for Diamond-Based Semiconductors

Extreme Tech

The move by DARPA aims to safeguard US national security by sidestepping China's export restrictions.

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OpenAI’s Ambitious Growth Strategy Comes with Steep Financial Risks

Unite.AI

Internal financial projections from OpenAI reveal a high-stakes strategy that pairs aggressive revenue targets with substantial projected losses, according to a recent report by The Information. The company's plans highlight both the immense potential and significant risks in the rapidly evolving AI sector. OpenAI Projects Massive Revenue Growth OpenAI, the company behind ChatGPT, aims to increase its annual revenue from $1 billion in 2023 to $100 billion by 2029.

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Researchers from Google DeepMind and University of Alberta Explore Transforming of Language Models into Universal Turing Machines: An In-Depth Study of Autoregressive Decoding and Computational Universality

Marktechpost

Researchers are investigating whether large language models (LLMs) can move beyond language tasks and perform computations that mirror traditional computing systems. The focus has shifted towards understanding whether an LLM can be computationally equivalent to a universal Turing machine using only its internal mechanisms. Traditionally, LLMs have been used primarily for natural language processing tasks like text generation, translation, and classification.

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Internet Archive Knocked Offline by Hack, User Data Stolen

Extreme Tech

Operators are moving cautiously to prioritize security as they work to restore the site.

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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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Legau – The All-In-One AI Drafting Solution

Artificial Lawyer

This week’s product walk through is with Legau, which is a multi-capability legal drafting system leveraging genAI and designed to support lawyers with all types.

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Intel Officially Unveils Core Ultra 200 Arrow Lake Desktop Platform

Extreme Tech

This platform is all about performance-per-watt.

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LLM-Powered Metadata Extraction Algorithm

Towards AI

Last Updated on October 12, 2024 by Editorial Team Author(s): Vladyslav Fliahin Originally published on Towards AI. Introduction Source: Image generated by the author using AI (Flux AI) Did you know that businesses receive thousands of customer reviews daily, each containing valuable insights? Yet, making sense of this data and processing it is a challenging task.

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AMD Announces 5th Gen Epyc CPUs and MI325X AI Accelerators

Extreme Tech

The company is now unleashing Zen 5 on the data center.

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Introducing CDEs to Your Enterprise

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.

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Rhymes AI Released Aria: An Open Multimodal Native MoE Model Offering State-of-the-Art Performance Across Diverse Language, Vision, and Coding Tasks

Marktechpost

The field of multimodal artificial intelligence (AI) revolves around creating models capable of processing and understanding diverse input types such as text, images, and videos. Integrating these modalities allows for a more holistic understanding of data, making it possible for the models to provide more accurate and contextually relevant information.

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Fisker Can't 'Port' Its Ocean SUVs to New Servers, Possibly Blowing Up Bankruptcy Fleet Sale

Extreme Tech

New York-based American Lease says Fisker didn't mention this issue until it had already paid tens of millions of dollars.

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Archon: A Machine Learning Framework for Large Language Model Enhancement Using Automated Inference-Time Architecture Search for Improved Task Performance

Marktechpost

Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. As LLMs grow more powerful, they require sophisticated methods to optimize their performance during inference. Inference-time techniques and strategies used to improve the quality of responses generated by these models at runtime have become crucial.