All entries

This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector similarity

tutorialsaws-ml-blog

Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit

DGX agent

The NVIDIA BioNeMo Agent Toolkit enables AI scientists to use structure prediction, molecular generation, docking, sequence analysis, design, and genomics as callable tools , allowing AI agents to exe

hardwarenvidia-developer

23 Jun 2026

Tools

Build Anything in Replit - Getting Started Masterclass https://x.com/i/broadcasts/1vJpPPWbOMOJE

This is a live broadcast or masterclass hosted by Replit on the X platform (formerly Twitter) that provides foundational guidance for beginners learning to build projects using the Replit IDE and deve

toolsreplit--x

Build Once, Monitor Continuously: Persistent Semantic Mapping via Autonomous Exploration and Open-Vocabulary Object Updates

arXiv:2409.15493v4 Announce Type: replace-cross Abstract: Persistent semantic monitoring of indoor spaces such as warehouses, hospitals, and offices requires a robot to repeatedly monitor an environme

local-aiarxiv-cs-cv

Agents

Build real agentic apps using CUGA: two dozen working examples on a lightweight harness

CUGA is a lightweight framework from IBM Research for building agentic AI applications, featuring two dozen practical working examples. The framework enables developers to create autonomous AI agents

agentshugging-face

By their logic, absolutely!

By their logic, absolutely! USAID funded Osama Bin Laden's Mujahideen, which spawned Al-Qaeda, ISIS and the Taliban. So did USAID supporters cause 4.7 million deaths in the Global War on Terror while

industryelon-musk--x

By their logic, yes

By their logic, yes USAID funded the Maidan Revolution in Ukraine in 2014 that directly led to the 2014-2022 Donbas War (15,000 killed) and the subsequent 2022 Russia-Ukraine War (300,000 killed). So

industryelon-musk--x

By their own logic

By their own logic USAID: Using the methodology the Lancet used to determine cuts to USAID's funding resulted in four million deaths, @GKMasterson determined that USAID funding itself resulted in 187

industryelon-musk--x

BYOK is now live in the GitHub Copilot App! Works with @ollama, foundry, and any OAI completions or Anthropic compatible messages endpoint. …

GitHub Copilot App now supports Bring Your Own Key (BYOK) functionality, allowing users to integrate local and third-party AI models including Ollama, Foundry, and any OpenAI-compatible or Anthropic-c

local-aiollama--x

Bypassing Minimization Bias: A Shift-Invariant Variance Estimator for Off-Equilibrium Local Learning Coefficients

arXiv:2606.22389v1 Announce Type: new Abstract: Singular Learning Theory leverages the Local Learning Coefficient (LLC) to quantify the geometry of neural network loss landscapes. However, mean-energy

ByteDance unveils Seedance 2.5 in Beijing, saying the AI video model can generate 30-second clips from up to 50 reference materials, up from 12 for Seedance 2.0 (Juro Osawa/The Information)

Juro Osawa / The Information: ByteDance unveils Seedance 2.5 in Beijing, saying the AI video model can generate 30-second clips from up to 50 reference materials, up from 12 for Seedance 2.0 — ByteDan

industrytechmeme

C^2GR: Coupled Comprehensive Generative Replay for a Continually Learnable Universal Segmentation Model

arXiv:2606.23473v1 Announce Type: new Abstract: Universal segmentation models exhibit significant potential for diverse tasks involving different imaging modalities and segmentation objectives. Task-I

researcharxiv-cs-cv

Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning

arXiv:2606.16214v3 Announce Type: replace Abstract: Modern deep learning models remain notoriously prone to overconfidence, limiting their reliability in high-stakes applications. Bayesian methods aim

Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation

arXiv:2606.21981v1 Announce Type: cross Abstract: While Large Language Models (LLMs) can generate fluent Arabic text, their ability to reliably control readability levels remains unclear. We propose a

Can Reasoning Models Detect Changes to their Chains of Thought?

arXiv:2606.22085v1 Announce Type: cross Abstract: There are many reasons one may want to edit a model's chain of thought (CoT) -- e.g., to prefill it with reasoning from a stronger model or to remove

Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation?

arXiv:2606.22987v1 Announce Type: new Abstract: Single-view mesh reconstruction predicts object meshes and spatial layouts from a single observation, making it attractive for fast robot spatial reason

researcharxiv-cs-cv

CAOA -- Completion-Assisted Object-CAD Alignment

arXiv:2606.18429v2 Announce Type: replace Abstract: Accurately aligning CAD models to their corresponding objects in indoor RGB-D scans is a central challenge in 3D semantic reconstruction. The task r

CapRiCorn-1K: A Comprehensive Benchmark for Video Captioning and Subject Referential Consistency Across Temporal Scales

arXiv:2606.21949v1 Announce Type: new Abstract: Accurate and comprehensive video captions with consistent subject references are critical for downstream understanding and generation tasks. However, fe

Hardware

.@cartesia runs one of the hardest inference workloads: real-time voice. Their stack has to keep long-lived streams moving, serve millions o…

.@cartesia runs one of the hardest inference workloads: real-time voice. Their stack has to keep long-lived streams moving, serve millions of audio minutes a day, and hold model latency around 90ms. T

hardwaretogether-ai--x

Casual: Token maxxing Sweaty: Token minning Meta: Token min-maxing

researchfrancois-chollet--x

Francois Chollet presents a framework for understanding different approaches to token usage in AI models: casual users maximize tokens for flexibility, competitive users minimize tokens for efficiency

CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation

arXiv:2606.21413v1 Announce Type: cross Abstract: Nowadays, large multilingual translation models demonstrate impressive translation capabilities in the machine translation benchmarks. This raises a p

applicationsarxiv-cs-lg

CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching

arXiv:2410.12261v5 Announce Type: replace Abstract: Anomaly detection in multivariate time series is challenging as heterogeneous subsequence anomalies may occur. Reconstruction-based methods, which f

applicationsarxiv-cs-lg

Catching Lies Without Sending the Video: Privacy-Preserving Multimodal Deception Detection

arXiv:2606.22699v1 Announce Type: new Abstract: Frontier multimodal models can guess whether a person is lying from a testimony video. To do so, they stream that raw face and voice to a third-party mo

Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition

arXiv:2412.06190v2 Announce Type: replace Abstract: Benefiting from the generalization capability of CLIP, recent vision language pre-training (VLP) models have demonstrated the ability to capture a w

researcharxiv-cs-cv

Agents

Causal Discovery in the Era of Agents

arXiv:2606.23608v1 Announce Type: cross Abstract: Recent attempts to combine large language models (LLMs) with causal discovery ask models to infer pairwise directions, propose graph structures, or in

agentsarxiv-cs-lg

Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding

arXiv:2606.21809v1 Announce Type: new Abstract: The presence of confounding bias poses a key challenge in policy evaluation, as the target causal effects of actions are not identifiable (i.e., underde

Causal Reward World Models: Zero-shot Reward Design for Automated Skill Generation

arXiv:2606.23280v1 Announce Type: new Abstract: Automated Reward Design (ARD) aims to replace manual reward engineering in reinforcement learning with language-driven reward function synthesis. Howeve

researcharxiv-cs-ro

Causal Variational Deep Embedding: A Family of Interventional Generators for Confounded Images

arXiv:2606.21806v1 Announce Type: new Abstract: Deep generative models reproduce the observational distribution of their training data, inheriting any spurious associations it contains. A common sourc

Causally Fair Node Classification on Non-IID Graph Data

arXiv:2505.01652v2 Announce Type: replace Abstract: Fair machine learning seeks to identify and mitigate biases in predictions against unfavorable populations characterized by demographic attributes,

CData targets AI developers with governed data access tools

CData Software Inc. today announced three products aimed at simplifying access to enterprise data for developers building artificial intelligence applications. They include a free Connect AI Developer

applicationssiliconangle

CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction

arXiv:2606.20715v1 Announce Type: new Abstract: Micro-expression recognition (MER) in realistic scenarios demands high temporal sensitivity and ecological validity, yet existing benchmarks are largely

CELEUS: Certifiable and Efficient LLM Evaluation via E-Processes

arXiv:2606.20820v1 Announce Type: new Abstract: Can we trust evaluation scores to capture an LLM's true real-world performance? Certifiable evaluation answers this question by providing guarantee for

applicationsarxiv-cs-lg

Central limit theorem for the averaged Adam optimizer

arXiv:2606.21433v1 Announce Type: cross Abstract: In this article, we analyse convergence of the averaged Adam optimizer to an attracting zero of the Adam vector field. We provide a central limit theo

Cerebras reports Q1 revenue up 94% YoY to 193.4M, net loss down 41% to 14M, and forecasts core gross margin to shrink in Q2; CBRS drops 8%+ after hours (Jordan Novet/CNBC)

Jordan Novet / CNBC: Cerebras reports Q1 revenue up 94% YoY to 193.4M, net loss down 41% to 14M, and forecasts core gross margin to shrink in Q2; CBRS drops 8%+ after hours — - Cerebras reported finan

industrytechmeme

Certified World Models: Predictability Across Configuration, Horizon, and Resolution

arXiv:2606.13092v2 Announce Type: replace Abstract: Scale buys interpolation; structure buys certifiable transfer. A world model's average error does not say whether a particular rollout can be truste

C’est elle qui a jeté Fauci en pâture relayé ensuite par RFK et Musk… Je vous le dis Le RN au pouvoir ça sera ça. On peut ne pas être conten…

C’est elle qui a jeté Fauci en pâture relayé ensuite par RFK et Musk… Je vous le dis Le RN au pouvoir ça sera ça. On peut ne pas être content. Vouloir du changement. Mais le changement ça peut être en

researchyann-lecun--x

CFAgentBench: A Reproducible Environment and Benchmark for Autonomous Construction-Finance Agents

model-releasesarxiv-cs-lg

arXiv:2606.22000v1 Announce Type: cross Abstract: We introduce CFAgentBench, a reproducible, self-hostable environment and benchmark for autonomous construction-finance agents: a CFO/controller-class

CFPO: Counterfactual Policy Optimization for Multimodal Reasoning

arXiv:2606.23206v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in multimodal reasoning. However, prevailing reinforcement learning (RL)

safetyarxiv-cs-cv

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL

arXiv:2602.03389v2 Announce Type: replace Abstract: Offline goal-conditioned reinforcement learning remains challenging for long-horizon tasks. While hierarchical approaches mitigate this issue by dec

Chains That See, Answers That Don't: A Multi-Aspect Evaluation Recipe for Forced Chain-of-Thought on Video-MME

arXiv:2606.22862v1 Announce Type: new Abstract: Forced chain-of-thought (CoT) is widely assumed to make vision-language models more reliable on video question answering. We propose a small three-probe

Tools

chalk talks! 👨‍🏫

chalk talks! 👨‍🏫 compile 2026 is in the books! incredibly proud of this team for bringing it to life. and a big thank you to all of our wonderful Chalk Talks speakers + @dwarkesh_sp for moderating :-)

toolslinus-lee--x

Changing Modalities: Adapting Remote Sensing Models to New Satellites and Sensors

arXiv:2606.23356v1 Announce Type: new Abstract: Machine learning models for remote sensing are trained and deployed on a static set of modalities. However, as we equip newer satellites with novel sens

applicationsarxiv-cs-cv

Channel Location Constrains the Auditability of Subliminal Learning

arXiv:2606.22019v1 Announce Type: new Abstract: Subliminal learning lets a student inherit a teacher's hidden trait from distillation data that never names it. We ask when such transfer can be audited

local-aiarxiv-cs-lg

Check out Comfy! #TikTok https://www.tiktok.com/@comfyorg?_r=1&_t=ZP-97R78YOl7Rn

Comfy is a project with an active social media presence on TikTok, as promoted through ComfyUI's X account. The post encourages users to follow or explore Comfy's TikTok channel for content related to

local-aicomfyui--x

Chehre: An Emoji-Prompted Video Dataset for Perceptually Diverse Facial Expression Recognition

arXiv:2606.21657v1 Announce Type: new Abstract: Facial expressions are nonverbal social signals used in human interaction, but facial expression recognition datasets often focus on static images, basi

Chem2Gen-Bench: Benchmarking Chemical-to-Genetic Translation in Perturbation Response Space

model-releasesarxiv-cs-lg

arXiv:2606.21109v1 Announce Type: new Abstract: Virtual-cell and perturbation models are increasingly used to predict cellular responses for biomedical discovery, but chemical and genetic perturbation

CheXpercept: A Benchmark for Evaluating Expert-Level Lesion Perception in Chest X-rays

arXiv:2606.21020v1 Announce Type: new Abstract: The evaluation of vision-language models (VLMs) for chest X-ray (CXR) analysis has largely been limited to disease-presence classification without visua

Hardware

China’s CXMT Is Set to Challenge DRAM Incumbents

China Xin Memory Technologies (CXMT) is positioning itself as a competitor to established DRAM manufacturers through domestic production capabilities and technological development. The article likely

hardwaresemianalysis