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This story is part of MIT Technology Review’s “America Undone” series, examining how the foundations of US success in science and innovation are currently under threat. You can read the rest here. On Wednesday, President Trump issued three executive orders, delivered a speech, and released an action plan, all on the topic of continuing American leadership…
A guide to ideating, validating, and prioritizing your AI use cases
The post Getting AI Discovery Right appeared first on Towards Data Science.
A practical exploration focusing on performance and speed
The post How Do Grayscale Images Affect Visual Anomaly Detection? appeared first on Towards Data Science.
The data scientists who survive won't be the ones who code better than ChatGPT—they'll be the ones who think strategically
The post Optimize for Impact: How to Stay Ahead of Gen AI and Thrive as a Data Scientist appeared first on Towards Data Science.
Most Americans encounter the Federal Trade Commission only if they’ve been scammed: It handles identity theft, fraud, and stolen data. During the Biden administration, the agency went after AI companies for scamming customers with deceptive advertising or harming people by selling irresponsible technologies. With yesterday’s announcement of President Trump’s AI Action Plan, that era may…
Learn how to create AI Agents using the OpenAI Agents SDK to automate Jira ticket creation from a meeting transcript.
The post Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide appeared first on Towards Data Science.
The repositories for MT-Bench and Arena-Hard were originally developed using OpenAI’s GPT API, primarily employing GPT-4 as the judge. Our team has expanded its functionality by integrating it with the Amazon Bedrock API to enable using Anthropic’s Claude Sonnet on Amazon as judge. In this post, we use both MT-Bench and Arena-Hard to benchmark Amazon Nova models by comparing them to other leading LLMs available through Amazon Bedrock.
We’re launching Web Guide, a Search Labs experiment that uses AI to intelligently organize the search results page, making it easier to find information and web pages.
Learn more about new AI tools available from Google Shopping, like our launch of our try on feature and price alert updates.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
This week, we highlight three articles that focus on emerging topics and techniques around large language models.
The post LLMs Continue to Evolve. So Should Your Skill Set. appeared first on Towards Data Science.
One of the most popular platforms for AI-assisted programming says the next era of vibe coding is all about supercharging error detection.
Loops are easy to write, but vectorized operations are the secret to writing efficient and elegant Python code.
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
An argument for human-led analysis (at least for now)
The post Why BI in the AI Age appeared first on Towards Data Science.
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
How can you master Python for free? Here are ten online courses we recommend.
Phillip Carter, formerly of Honeycomb, and Ben Lorica talk about observability and AI—what observability means, how generative AI causes problems for observability, and how generative AI can be used as a tool to help SREs analyze telemetry data. There’s tremendous potential because AI is great at finding patterns in massive datasets, but it’s still a […]
"Attention is All you Need" showed attention as a sequence of multiplicative and concat operations but... what if I told you they are additive?
The post Multi-head Attention is a Fancy Addition Machine appeared first on Towards Data Science.
Even the most powerful AI models, including ChatGPT, can make surprisingly basic errors when navigating ethical medical decisions, a new study reveals. Researchers tweaked familiar ethical dilemmas and discovered that AI often defaulted to intuitive but incorrect responses—sometimes ignoring updated facts. The findings raise serious concerns about using AI for high-stakes health decisions and underscore the need for human oversight, especially when ethical nuance or emotional intelligence is involved.
Enterprises will not see immediate impact from the AI Action Plan, but it signals wider support for open-source models and evaluations.
The Kathmandu center of excellence gives SecurityPal a cost base low enough to keep humans in the loop while staying price-competitive.
The remarks, which came during a keynote speech at a summit hosted by the All-In Podcast, follow President Donald Trump’s newly released AI Action Plan.
Developers can define custom tools and let Qwen3-Coder dynamically invoke them during conversation or code generation tasks.
Robot surgeons, testing Comet, zero-log private chat, Trump’s AI action plan, AI wearables, and more...
Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked data, or misleading visuals, insights risk becoming illusions. This article explores the hidden biases embedded in data-driven storytelling—from the seduction of beautiful charts to the quiet influence of AI-generated insights—and offers practical strategies to tell stories that are not only compelling, but also credible, transparent, and grounded in truth.
The post How Not to Mislead with Your Data-Driven Story appeared first on Towards Data Science.
At the AWS Summit in New York City, we introduced a comprehensive suite of model customization capabilities for Amazon Nova foundation models. Available as ready-to-use recipes on Amazon SageMaker AI, you can use them to adapt Nova Micro, Nova Lite, and Nova Pro across the model training lifecycle, including pre-training, supervised fine-tuning, and alignment. In this post, we present a streamlined approach to customize Nova Micro in SageMaker training jobs.
What does it take to enable billions of people to truly ask anything in Search?In the latest episode of the Google AI: Release Notes podcast, host Logan Kilpatrick sits …
Building a tool to interactively visualize the forward pass of any Pytorch model from within notebooks.
The post Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks appeared first on Towards Data Science.
In this post, we introduce a solution that uses OpenSearch Service as a vector data store in multi-tenant RAG, achieving data isolation and routing using JWT and FGAC. This solution uses a combination of JWT and FGAC to implement strict tenant data access isolation and routing, necessitating the use of OpenSearch Service.