Professor in biomedical engineering. Research in data analysis, image processing, statistics, deep learning. Tweets in Swedish and English
Sweden
Joined February 2011
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Anders Eklund retweeted
a bride just gifted her husband a $12,000 GPU.
and they say romance is dead.
Anders Eklund retweeted
Today @GoogleResearch is launching Deep Review — an agentic system designed to stress-test manuscripts, design docs, and complex proposals before submission or publication. After pilot partnerships analyzing over 15,000 research papers, we’re making Deep Review globally accessible to help researchers, engineers, and professionals bring structured critique to their daily workflows.
Anders Eklund retweeted
Блогер показал, что собеседование в 2026 году проходит уже без людей. Компания прислала на созвон ИИ-рекрутера, блогер в ответ подключил своего ИИ-агента и вышел из кадра.
Нейросети ещё какое-то время обсуждали вакансию без людей. В конце обе зависли и начали бесконечно прощаться друг с другом.
Anders Eklund retweeted
Today @TheLancet published our AMIE study with @BIDMC_Medicine, the first prospective study of patient-facing conversational diagnostics in a real clinic.
AMIE is a research system people can chat with before doctors appointments. Testing AMIE outside the lab with real urgent care patients showed how technology can help gather medical histories safely. Clinicians reported that the summaries helped them prepare for visits in 75% of cases and influenced their approach to care in more than half. AMIE’s differential diagnoses also matched the doctors’ final diagnoses 90% of the time giving clinicians more time to focus on patient care.
It’s Google’s first-ever paper in The Lancet’s main journal!
Anders Eklund retweeted
Few-Step Generation via Data-Space Iteration
Paper: arxiv.org/abs/2610.12102
We rethink the iterative process behind few-step generation. Instead of iterating in flow space, we propose data-space iteration as a new paradigm for better few-step generation.
Details in the thread!
Anders Eklund retweeted
In PRH, we argued that representational geometry is converging, but it's still an open question exactly in what sense.
I want to share some new evidence that might clarify the picture.
The evidence comes from our work here, led by @dominik_schnaus: dominik-schnaus.github.io/un…
1/n
Anders Eklund retweeted
DINOv2 has never seen a caption, and Qwen3 has never seen an image. We still aligned their embedding spaces without a single image-caption pair.
It even works when the images and the captions come from different datasets.
Project page: dominik-schnaus.github.io/un…
⬇️
Anders Eklund retweeted
Could you imagine if a cardiologist said “I did not ask for heart disease to be cured” 🤣
🚨 #BREAKING: Mathematicians begin boycotting AI, as it solves hundreds of decades-long unsolved problems: "Mathematicians did not ask for this work to be done"
Tror att budgeten är ännu svårare att komma överens om för vänstern
Anders Eklund retweeted
The serious answer to how Shazam worked is it took the peaks of a spectrogram of short clips of every song, find the peaks from the highest amplitude bits, hash it with the value being (time stamp, track id) and then the actual recognition is a hashtable lookup.
We did this for a college CS project. The original paper is fantastic:
