PsiQuantum has a plan to make a massive quantum computer out of light

The machine that could change the world will be housed in a room that looks like a data center crossed with an ice cream factory. Inside will be some 100 stainless-steel cabinets, each about six feet tall and connected to a supply of liquid helium…

Source: MIT Technology Review

Automatically aggregated summary — full article and all rights belong to the original publisher.

LieBN: Batch Normalization over Lie Groups

arXiv:2607.08783v2 Announce Type: replace-cross Abstract: Manifold-valued measurements are prevalent in various machine learning tasks. Recent advances have extended Deep Neural Networks (DNNs) to operate on manifolds, accompanied by normalization techniques tailored to different geometries, collectively referred to as Riemannian normalization. However, most existing Riemannian normalization…

Source: cs.AI updates on arXiv.org

Automatically aggregated summary — full article and all rights belong to the original publisher.

Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers

arXiv:2502.20681v3 Announce Type: replace-cross Abstract: Transformers may exhibit two-stage training dynamics during the real-world training process. For instance, when training GPT-2 on the Counterfact dataset, the answers progress from syntactically incorrect to syntactically correct to semantically correct. However, existing theoretical analyses hardly account for this…

Source: cs.AI updates on arXiv.org

Automatically aggregated summary — full article and all rights belong to the original publisher.

Graph Construction and Matching for Imperative Programs using Neural and Structural Methods

arXiv:2604.26578v3 Announce Type: replace-cross Abstract: Reusing verification artefacts requires identifying structural and semantic similarities across programs and their specifications. In this paper, we focus on graph construction as a foundational step toward this goal. We present a pipeline that converts imperative programs and their annotations…

Source: cs.AI updates on arXiv.org

Automatically aggregated summary — full article and all rights belong to the original publisher.

How sales teams use ChatGPT Work

See how sales teams can use ChatGPT Work to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs.

Source: OpenAI News

Automatically aggregated summary — full article and all rights belong to the original publisher.

What Anthropic’s latest AI discovery does—and doesn’t—show

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Anthropic—currently the world’s most valuable AI company, with a nearly $1 trillion valuation—has a reputation for publishing strange and heady research. It’s…

Source: MIT Technology Review

Automatically aggregated summary — full article and all rights belong to the original publisher.

The AI Arms Race in Technical Interviews Is Escalating

Software engineering jobs are under threat from AI. Some applicants are fighting back by using AI in the interview process, employing AI assistants that suggest responses on the fly during remote technical interviews.Meanwhile, some employers are countering with—you guessed it—AI. They’re applying AI-powered tools to…

Source: IEEE Spectrum

Automatically aggregated summary — full article and all rights belong to the original publisher.