Google Gemini gets a memory function for personalized replies

Google Gemini gets a memory function for personalized replies

Just a heads up, if you buy something through our links, we may get a small share of the sale. It’s one of the ways we keep the lights on here. Click here for more. Google has updated its Gemini AI to include a new feature that allows its Advanced subscription users to store and recall personal preferences, interests, and specific details indefinitely. This will improve the AI’s ability to deliver personalized and relevant responses.  Previously, users could share preferences with Gemini, but this context was limited to individual conversations and would reset once a new chat started. With the…
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Introducing Predictive Optimization for Statistics

Introducing Predictive Optimization for Statistics

We are excited to introduce the gated Public Preview of Predictive Optimization for statistics. Announced at the Data + AI Summit, Predictive Optimization is now generally available as an AI-driven approach to streamlining optimization processes. This feature currently supports essential data layout and cleanup tasks, and early feedback from users highlights its effectiveness in vastly simplifying routine data maintenance. With the addition of automatic statistics management, Predictive Optimization delivers customer value and simplifies operation through the following advancements:Intelligent selection of data-skipping statistics, eliminating the need for column order managementAutomatic collection of query optimization statistics, removing the necessity to run ANALYZE after…
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My React Journey: Day 3

My React Journey: Day 3

Today, I explored one of the most essential concepts in programming: Functions. Functions are a game-changer because they make code reusable, reducing the need for repetition. Let me break down what I learned: What is a Function? A function is a block of reusable code designed to perform a specific task. It has two main aspects: Declaration: This is where you create or define the function. function greet(name) { return `Hello, ${name}`; } Invocation: This is where you call the function to execute it. console.log(greet('Ayoola')); // Output: Hello, Ayoola Parameters vs. Arguments Parameters : Variables used when defining a function.…
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How AI Drives Supply Chain Automation for Retailers Worldwide

How AI Drives Supply Chain Automation for Retailers Worldwide

Artificial intelligence is becoming crucial to how large retail organisations manage and optimise supply chains. From predicting seasonal demand in goods to automating inventory ordering, AI is helping supply chain management system vendors gain new efficiencies for their clients. In 2022, McKinsey reported that supply chain management was the top area where businesses reported AI-related cost reductions. At the time, large consumer packaged goods companies saw a 20% reduction in inventory, a 10% decrease in supply chain costs, and revenue increases of up to 4%. AI for supply chains has only improved since 2022 and is accelerating with generative AI.…
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The Man Behind Amazon’s Robot Army Wants Everyone to Have an AI-Powered Helper

The Man Behind Amazon’s Robot Army Wants Everyone to Have an AI-Powered Helper

Unlike other robots, Proxie’s battery can be swapped out to avoid downtime charging. Cobot declined to say how much Proxie costs to buy or lease, but mobile robots often cost tens of thousands of dollars a piece.The robots work alongside humans, taking turns moving carts and navigating busy spaces without running into anyone. Porter says the idea is for the robots to level up as AI becomes more capable, allowing for more sophisticated manipulation and communication.Cobot has a version of Proxie that will respond to voice commands using a large language model to parse utterances, Porter says. When a worker…
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Pivoting in politics, tech, antitrust and economic growth | Gary Shapiro interview

Pivoting in politics, tech, antitrust and economic growth | Gary Shapiro interview

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Gary Shapiro, the CEO of the CTA, has seen tech change over decades. I talked to him about his latest views of politics, tech and economic growth. He was blunt in his responses, and that reminded me of the title of his new book on innovation, dubbed Pivot or Die: How Leaders Thrive When Everything Changes. I spoke with Shapiro a day before the U.S. presidential election. I asked him about politics and tech in one of my early questions. But…
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Join Us for the WIRED Big Interview Event

Join Us for the WIRED Big Interview Event

WIRED's Big Interview has long been the definitive source for in-depth conversations with the executives, scientists, political leaders, and creators shaping the rapidly shifting future. Now, for the first time, we're bringing that series to the stage. You won't want to miss it.Join us live December 3 in San Francisco for a full day of in-depth interviews with an extraordinary lineup of guests.We’ll be joined by Nvidia CEO Jensen Huang, former OpenAI CTO Mira Murati, Bluesky CEO Jay Graber, Signal Foundation president Meredith Whittaker, and many more luminaries from the worlds of technology, entertainment, business, science, and beyond.What Is It?The…
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Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine Learning

Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine Learning

[Submitted on 21 Jul 2024 (v1), last revised 19 Nov 2024 (this version, v3)] View a PDF of the paper titled Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine Learning, by Luis Mandl and 3 other authors View PDF HTML (experimental) Abstract:The deep operator network (DeepONet) is a popular neural operator architecture that has shown promise in solving partial differential equations (PDEs) by using deep neural networks to map between infinite-dimensional function spaces. In the absence of labeled datasets, we utilize the PDE residual loss to learn the physical system, an approach known as physics-informed DeepONet. This method…
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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q | Amazon Web Services

Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q | Amazon Web Services

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. In this post, we explore how you can use Amazon Q Business, the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in…
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How Alaska Airlines used AI to save over 1.2 million gallons of jet fuel

How Alaska Airlines used AI to save over 1.2 million gallons of jet fuel

Alaska Airlines partnered with Air Space Intelligence to use an AI tool that suggests flight routes.The tool, Flyways AI Platform, factors in data such as historical flight traffic and predicted weather.This article is part of "CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy. You can opt-out at any time by visiting our Preferences page or by clicking "unsubscribe" at…
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