Browsing: Foundation

model predicts the missing column of any table, zero-shot, the way a language model completes text. On the main community benchmark, every single-model entry above the…

Cisco Foundation AI has released Antares, a family of security small language models (SLMs) built for one narrow security task. The task is vulnerability localization. Given…

This week, Zyphra released ZUNA1.1 under the Apache 2.0 license. The EEG foundation model reconstructs, denoises, and upsamples data across arbitrary channel layouts. It builds on…

A German research consortium has published the pretraining report for Soofi S 30B-A3B. It is an open base model for German and English. Training ran end…

Frontier models learn mostly from public internet data. However, clinical neuroimaging rarely appears there, because MRI and CT scans contain identifiable facial features. Consequently, general models…

Most wearable health models are built one outcome at a time. That approach breaks down at thirty-five endpoints. Labels are expensive and retrospective annotation is infeasible.…

Robbyant, the embodied-AI company within Ant Group, has open-sourced LingBot-Vision, a family of self-supervised Vision Transformers built for dense spatial perception. The weights ship under Apache-2.0…

companion to Enterprise Document Intelligence, the series whose philosophy is laid out in Amplify the Expert. It zooms in on brick 3 (retrieval) of the four-brick…

Google Research introduced TabFM, a foundation model built for tabular data. TabFM performs classification and regression without dataset-specific training. Every prediction comes from a single forward…

import os, warnings import numpy as np import pandas as pd import matplotlib.pyplot as plt warnings.filterwarnings(“ignore”) pd.set_option(“display.width”, 160) pd.set_option(“display.max_columns”, 30) print(“numpy:”, np.__version__) import scipy; print(“scipy:”, scipy.__version__)…