AI News
OCTOBER 9, 2024
In the near future, Silicon Valley might look back at recent events as the point where the generative AI craze went too far. This past summer, investors questioned whether top AI stocks could sustain their sky-high valuations, given the lack of returns on massive AI spending. As Autumn approaches, major AI sectors—such as chips, LLMs, and AI devices—received renewed confidence.
Unite.AI
OCTOBER 9, 2024
Artificial Intelligence is being integrated throughout the job application process, and cover letters are no exception. As these documents remain crucial for showcasing personality and fit, AI-powered generators are emerging as valuable tools. These tools leverage advanced algorithms to create personalized, ATS-friendly cover letters in minutes, helping job seekers craft compelling narratives that resonate with employers while saving valuable time and effort. 1.
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IBM Journey to AI blog
OCTOBER 9, 2024
We are now at a crucial stage in our evolution with enterprise generative AI. While consumer generative AI has captured the imagination of millions, executives are developing the practices that can deliver an effective and responsible strategy for enterprise generative AI. According to our CEO survey, 60% of organizations are not yet developing a consistent, enterprise-wide approach to generative AI.
Analytics Vidhya
OCTOBER 9, 2024
The 2024 Nobel Prizes in Physics and Chemistry signal a significant shift: Artificial Intelligence (AI) isn’t just a tool anymore, it’s becoming the beating heart of scientific progress. This year’s laureates have shown how AI is transforming fields as diverse as physics, biology and chemistry, laying the groundwork for AI’s relentless march into all aspects […] The post The 2024 Nobel Prizes: AI is Taking Over Everything appeared first on Analytics Vidhya.
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85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.
AI Weekly
OCTOBER 9, 2024
Welcome New LLM trained on AI sources only Hello all AI Weekly subscribers! Today we want to introduce to you a new concept for getting the most interesting AI news along with insights developed by our team here at AI WEEKLY. We're excited to launch our new product : Essentials Pro. Essentials Pro for AI is a Small Language Model based platform that : 1) Recommends daily and weekly links based on your specific AI interests 2) Offers a chatbot interface to ask AI specific questions and get answer
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Unite.AI
OCTOBER 9, 2024
As leadership teams around the world begin planning for 2025, the topic on everyone’s mind is when to expect their investments in AI and/or generative AI (GenAI) to pay off. New research from Google Cloud has revealed that more than 6 in 10 large (more than 100 employees) companies are using GenAI, and 74% are already seeing some sizable return on investment (ROI).
Analytics Vidhya
OCTOBER 9, 2024
Introduction Consider writing a code that entails functions that are connected, one to another, in a way that does not break the flow of a sentence. That’s method chaining in Python—an efficient approach that makes it possible to invoke multiple methods within an object using a single line of code. It makes code shorter, more […] The post Method Chaining in Python appeared first on Analytics Vidhya.
NVIDIA
OCTOBER 9, 2024
Large language models and the applications they power enable unprecedented opportunities for organizations to get deeper insights from their data reservoirs and to build entirely new classes of applications. But with opportunities often come challenges. Both on premises and in the cloud, applications that are expected to run in real time place significant demands on data center infrastructure to simultaneously deliver high throughput and low latency with one platform investment.
Unite.AI
OCTOBER 9, 2024
Artificial Intelligence (AI) has come a long way from its early days of basic rule-based systems and simple machine learning algorithms. The world is now entering a new era in AI, driven by the revolutionary concept of open-weight models. Unlike traditional AI models with fixed weights and a narrow focus, open-weight models can adapt dynamically by adjusting their weights based on the task at hand.
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The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.
Eleuther.ai
OCTOBER 9, 2024
GPT-NeoX now supports post-training thanks to a collaboration with SynthLabs.
NVIDIA
OCTOBER 9, 2024
AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit , in Washington, D.C. Granholm went on to highlight the pivotal role AI is playing in tackling major national challenges, from energy innovation to bolstering national security.
IBM Journey to AI blog
OCTOBER 9, 2024
To better understand how IT leaders are leveraging mainframes today and envisioning their future in the era of AI and hybrid cloud, the IBM Institute for Business Value, (IBV) in collaboration with Oxford Economics, conducted a survey of 2,551 global IT executives. The findings show the mainframe is already playing a pivotal role in supporting AI innovation, hybrid cloud strategies, and acceleration of digital transformation.
Unite.AI
OCTOBER 9, 2024
Forum Ventures , an early-stage B2B SaaS fund, accelerator, and AI venture studio, today announced the release of its latest comprehensive report, “ 2024: The Rise of Agentic AI in the Enterprise.” The report offers a detailed analysis of the current state and future trajectory of agentic AI , providing valuable insights for businesses, investors, and startups alike.
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AI has transformed how enterprises deliver customer service, enabling faster engagement, problem-solving, and cost savings. However, traditional AI Agents often rely on rigid conversation flows, risking customer trust when conversations stray from predefined paths. These limitations prevent businesses from fully realizing AI’s potential for cost-efficiency and productivity.
NVIDIA
OCTOBER 9, 2024
Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. Image generation models — a popular subset of generative AI — can parse and understand written language, then translate words into images in almost any style.
Unite.AI
OCTOBER 9, 2024
Now more than ever, content creators face increasing demands to produce high-quality visuals quickly and efficiently. Did you know that two of the top content marketing challenges marketers face today are producing high-quality content and generating this content consistently? It's no wonder, as popular platforms like TikTok are becoming saturated. As time goes on, it's becoming increasingly essential for creators to stand out and keep up with the rapid demand for fresh and engaging material.
AWS Machine Learning Blog
OCTOBER 9, 2024
Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories, including Amazon Simple Storage Service (Amazon S3) , Salesforce, Google Drive, Microsoft 365, ServiceNow, Gmail, Slack, Atlassian, and Zendesk and can help you create your generative
DeepMind
OCTOBER 9, 2024
The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences.
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Hubstaff’s new report, The AI Productivity Shift, highlights how 3,000+ professionals and 140,000+ users are transforming the way they work with AI. Adoption is high—85% are using AI—and the potential is just beginning. Teams that integrate AI into daily workflows report 77% faster task completion, 70% improved focus, and stronger results across the board.
Extreme Tech
OCTOBER 9, 2024
The issue is so widespread that Wikipedia now has an entire task force dedicated to cleaning it up.
Marktechpost
OCTOBER 9, 2024
Evaluating generative AI systems can be a complex and resource-intensive process. As the landscape of generative models evolves rapidly, organizations, researchers, and developers face significant challenges in systematically evaluating different models, including LLMs (Large Language Models), retrieval-augmented generation (RAG) setups, or even variations in prompt engineering.
Extreme Tech
OCTOBER 9, 2024
Slides from Intel show its newest architecture will not crush Raptor Lake or Zen 5 but could offer much-improved efficiency.
Artificial Lawyer
OCTOBER 9, 2024
DraftWise, the contract drafting and negotiation pioneer, is leveraging the genAI search capabilities of Cohere to expand what it can do for its law firm.
Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage
This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.
Extreme Tech
OCTOBER 9, 2024
Not only do the enzyme-wielding bacteria in this adhesive facilitate biorecycling, but they could save ship hulls, underwater pipes, and more from the buildup of barnacles and algae.
Unite.AI
OCTOBER 9, 2024
Ameesh Divatia is the co-founder & CEO of Baffle , a company focused on integrating data security into every aspect of the data pipeline to simplify cloud data protection and minimize the impact of data breaches. Its platform offers a no-code, easy-to-deploy solution that secures sensitive data without affecting performance or requiring changes to applications.
Extreme Tech
OCTOBER 9, 2024
The flagship GPU will be the one everyone is talking about, as it has monstrous specifications.
databricks
OCTOBER 9, 2024
With the pace of modern business and the competitive need for more and more data, organizations now correctly ask whether their data management.
Speaker: Kevin Burke, Founder & Managing Director at Digital One and AI & Automation Consultant
AI and automation are currently transforming the way sales and marketing teams operate. Generative AI crafts personalized outreach at scale, while conversational AI bots are engaging prospects in real time. Robotic process automation streamlines manual workflows by triggering tasks the moment a prospect takes a key action, and advanced AI analytics surface hidden patterns in the pipeline, improve forecasting, and help teams make data-driven decisions with confidence.
Marktechpost
OCTOBER 9, 2024
LLMs are advancing healthcare by offering new possibilities in clinical support, especially through tools like Microsoft’s BioGPT and Google’s Med-PaLM. Despite these innovations, LLMs in healthcare face a significant challenge: aligning with the professionalism and precision required for real-world diagnostics. This gap is particularly crucial under FDA regulations for Software-as-a-Medical-Device (SaMD), where LLMs must demonstrate specialized expertise.
Artificial Lawyer
OCTOBER 9, 2024
By Rob Stote, Chief Product Officer at BigHand. It has been widely reported that law firms experienced a prosperous start to 2024, with momentum from.
Marktechpost
OCTOBER 9, 2024
Text retrieval in machine learning faces significant challenges in developing effective methods for indexing and retrieving documents. Traditional approaches relied on sparse lexical matching methods like BM25, which used n-gram frequencies. However, these statistical models have limitations in capturing semantic relationships and context. The primary neural method, a dual encoder architecture, encodes documents and queries into a dense latent space for retrieval.
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