JULY 16, 2025
For much of the AI era, intelligence has been on-demand: a user issues a prompt, and the model responds after reasoning through the request. But as AI systems grow more autonomous and expectations rise for real-time reasoning, low latency, and cost-efficiency, the definition of intelligence is shifting. We’re entering a new phase where AI is expected to stay ready for the next request—even during downtime.
databricks
JULY 15, 2025
Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions
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Marktechpost
JULY 13, 2025
What is included in this article: Performance breakthroughs – 2x faster inference and 3x faster training Technical architecture – Hybrid design with convolution and attention blocks Model specifications – Three size variants (350M, 700M, 1.2B parameters) Benchmark results – Superior performance compared to similar-sized models Deployment optimization – Edge-focused design for various hardware Open-source accessibility – Apache 2.0-based licensing Market implic
Analytics Vidhya
JULY 14, 2025
LLMs (Large Language Models) are everywhere! From powering chatbots, digital assistants, and fraud detection to medical diagnosis, they’ve taken over the world by storm. The developments in the domain have progressed to the point where an LLM can operate with any type or form of data. This gave rise to specialist LLMs or models that […] The post 2025’s Most Talked-About LLMs: Top 5 Leaders Across Every Modality appeared first on Analytics Vidhya.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
AWS Machine Learning Blog
JULY 15, 2025
When we launched the AWS Generative AI Innovation Center in 2023, we had one clear goal: help customers turn AI potential into real business value. We’ve already guided thousands of customers across industries from financial services to healthcare—including Formula 1, FOX, GovTech Singapore, Itaú Unibanco, Nasdaq, NFL, RyanAir, and S&P Global—from AI experimentation to full-scale deployment, driving millions of dollars in productivity gains and transforming customer experiences.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Marktechpost
JULY 13, 2025
Google DeepMind recently released GenAI Processors , a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time multimodal content. Launched last week, and available under an Apache‑2.0 license , this library provides a high-throughput, asynchronous stream framework for building advanced AI pipelines.
Machine Learning Research at Apple
JULY 16, 2025
We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: (i) a ∼3B-parameter on-device model optimized for Apple silicon through architectural innovations such as KV-cache sharing and 2-bit quantization-aware training; and (ii) a scalable server model built on a novel Parallel-Track Mixture-of-Experts (PT-MoE) transformer that combines track parallelism, mixture-of-experts sparse computation, and interleaved gl
Analytics Vidhya
JULY 14, 2025
LLMs (Large Language Models) are everywhere! From powering chatbots, digital assistants, and fraud detection to medical diagnosis, they’ve taken over the world by storm. The developments in the domain have progressed to the point where an LLM can operate with any type or form of data. This gave rise to specialist LLMs or models that […] The post 2025’s Most Talked-About LLMs: Top 5 Leaders Across Every Modality appeared first on Analytics Vidhya.
AWS Machine Learning Blog
JULY 15, 2025
This post is co-written with Kshitiz Gupta, Wenhan Tan, Arun Raman, Jiahong Liu, and Eiluth Triana Isaza from NVIDIA. As large language models (LLMs) and generative AI applications become increasingly prevalent, the demand for efficient, scalable, and low-latency inference solutions has grown. Traditional inference systems often struggle to meet these demands, especially in distributed, multi-node environments.
Speaker: Matt Sunshine, CEO at The Center for Sales Strategy
AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.
JULY 18, 2025
Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The process relies on analyzing past behavior, interactions, and patterns to predict what users are likely to find relevant. Over time, techniques have shifted from basic filtering to advanced models powered by language understanding.
Marktechpost
JULY 17, 2025
Google is transforming how we interact with Search. With the recent rollout of Gemini 2.5 Pro , Deep Search , and a powerful new agentic feature , Google is making its search engine smarter, more interactive, and vastly more contextual. These features are currently limited to US users , but they mark a massive shift in how Google Search integrates with cutting-edge AI—pushing it closer to becoming a full-fledged reasoning assistant.
AI News
JULY 17, 2025
Mistral AI has updated Le Chat with voice recognition, deep research tools, and other features to make the chatbot a more helpful assistant. The company believes that the best AI assistants should help you dive deeper into your thoughts and maintain the flow of conversation. As Mistral AI put it, chatbots are at their best when they “let you go deeper in your thinking, keep your conversation flowing, and maintain contextual continuity.” A standout feature, albeit somewhat playing cat
TheSequence
JULY 13, 2025
Created Using GPT-4o Next Week in The Sequence: Over the next few weeks, you are going to see us experimenting with new content sections based on the installments that regularly get more traction. In a market inundanted by newsletters that published paper’s analysis done by LLMs without any original opinion, I would like to double down in the things that we can do best: keep you current in AI and discuss original ideas.
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Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.
Towards AI
JULY 14, 2025
Author(s): Lorentz Yeung Originally published on Towards AI. OpenAI’s GPT-4 Mini as a benchmark for this project. Photo by Growtika on Unsplash In the rapidly evolving world of AI, transforming natural language questions into executable SQL queries — known as text-to-SQL — has become a game-changer for data analysis. Imagine asking your database, “How many customers placed orders last quarter, grouped by region and ordered by compounded growth rate?
JULY 19, 2025
Table of contents What is an AI Agent? Why AI Agents Matter in 2025 Types of AI Agents Key Components of an AI Agent Leading AI Agent Frameworks in 2025 Practical Use Cases for AI Agents AI Agent vs. Chatbot vs. LLM The Future of Agentic AI Systems FAQs About AI Agents Conclusion What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit human intervention.
Marktechpost
JULY 16, 2025
In this tutorial, we begin by diving into Griffe , positioning it as the center of our advanced AI Code Analyzer. By leveraging Griffe’s rich introspection capabilities, we can seamlessly load, traverse, and dissect Python package structures in real-time. This tutorial guides you through the process of integrating Griffe with complementary libraries, such as NetworkX for dependency graphs and Matplotlib for visual dashboards, to transform raw codebases into actionable insights.
ODSC - Open Data Science
JULY 17, 2025
Google is advancing its AI-driven cybersecurity efforts with new tools, systems, and partnerships set to be showcased at Black Hat USA and DEF CON 3 3. From predictive AI agents to advanced anomaly detection, the tech giant is redefining how defenders secure digital infrastructure. Big Sleep: AI That Finds Vulnerabilities Before They’re Exploited One of Google’s most promising tools is Big Sleep, an AI agent developed by DeepMind and Google Project Zero.
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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 News
JULY 14, 2025
Author, Eric Elsen, Forte Group. On January 7, 2025, the US Food and Drug Administration (FDA) released draft guidance titled “Artificial Intelligence and Machine Learning in Software as a Medical Device” The document outlines expectations for pre-market applications and lifecycle management of AI-enabled medical software. While the document may have flown under many readers’ radar, the implications for AI-driven diagnostics and early-stage medtech startups are substantial and
AWS Machine Learning Blog
JULY 15, 2025
This post is co-written with Andrew Liu, Chelsea Isaac, Zoey Zhang, and Charlie Huang from NVIDIA. DGX Cloud on Amazon Web Services (AWS) represents a significant leap forward in democratizing access to high-performance AI infrastructure. By combining NVIDIA GPU expertise with AWS scalable cloud services, organizations can accelerate their time-to-train, reduce operational complexity, and unlock new business opportunities.
JULY 15, 2025
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Marktechpost
JULY 19, 2025
In this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API. We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor, each responsible for a distinct part of the research pipeline. Together, these agents collaboratively gather data, analyze insights, synthesize a report, and coordinate the workflow.
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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
JULY 17, 2025
The University of Bristol’s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI performance, making it the fastest system in the U.K. and among the most energy-efficient globally.
AI News
JULY 18, 2025
A criticism about AI safety from an OpenAI researcher aimed at a rival opened a window into the industry’s struggle: a battle against itself. It started with a warning from Boaz Barak, a Harvard professor currently on leave and working on safety at OpenAI. He called the launch of xAI’s Grok model “completely irresponsible,” not because of its headline-grabbing antics, but because of what was missing: a public system card, detailed safety evaluations, the basic artefacts of transparency tha
AWS Machine Learning Blog
JULY 17, 2025
Evaluating the performance of large language models (LLMs) goes beyond statistical metrics like perplexity or bilingual evaluation understudy (BLEU) scores. For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. This is especially important for applications such as summarization, content generation, or intelligent agents where subjective judgments and nuanced correctness play a central role.
JULY 17, 2025
It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how.
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.
Marktechpost
JULY 17, 2025
Mistral AI has released Voxtral, a family of open-weight models— Voxtral-Small-24B and Voxtral-Mini-3B —designed to handle both audio and text inputs. Built on top of Mistral’s language modeling framework, these models integrate automatic speech recognition (ASR) with natural language understanding capabilities. Released under the Apache 2.0 license, Voxtral provides practical solutions for transcription, summarization, question answering, and voice-command-based function invocation.
Aiiot Talk
JULY 18, 2025
Supply chains are the lifeblood of global commerce, yet they remain plagued by inefficiencies—delays, stockouts, overproduction, and unpredictable disruptions. Enter autonomous AI agents, the silent orchestrators now optimizing logistics with superhuman precision. Unlike traditional software, these agents learn, adapt, and make decisions in real-time, often without human intervention. “ AI agents don’t just follow rules—they rewrite them.
Analytics Vidhya
JULY 17, 2025
Have you ever used Zepto for ordering groceries online? You must have seen that if you even write a wrong word or misspell a name, Zepto still understands and shows you the perfect results that you were looking for. Users typing “kele chips” instead of “banana chips” struggle to find what they want. Misspellings and […] The post How to Replicate Zepto’s Multilingual Query Resolution System from Scratch?
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