Sarvam AI's 105B is a genuine engineering achievement. But India still lacks a trusted, independent institution to verify whether its sovereign models perform as claimed.
Extension that converts individual Java files to Kotlin code aims to ease the transition to Kotlin for Java developers.
Global militaries are desperate to gain an advantage in the escalating AI race, as rapid developments in largescale data analysis, robotics, and large language models increase the effectiveness of ...
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IBM stock dives after Anthropic points out AI can rewrite COBOL fast
Big Blue has been saying this itself since 2023 IBM’s share price slumped by 13 percent on Monday, seemingly caused by investors reacting to an Anthropic blog post that points out its Claude Code ...
As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...
Thanks, everyone, for joining us at Day 1 of the Morgan Stanley TMT Conference. My name is Katie Keyser. I'm on the software research team here at Morgan Stanley. Super excited to be joined by the ...
It's like a Cadence bakery or something?" I'm not a good cook, by the way. I'm a horrible baker, but definitely not a great. But the thing is unless you are like 2 years old, normally, when you eat a ...
A class action accuses Adobe of secretly pulling hundreds of thousands of copyrighted books—including titles scraped from pirate “shadow libraries”—to train its new SlimLM small language models, in ...
Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.
A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...
A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...
As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
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