Tech News — 2026-08-11
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This weekend saw the finale of the league competitions at RoboCup 2026 in Incheon, South Korea, with the winners in the small, middle, and large humanoid divisions decided. Congratulations to the following teams, who finished in the top three positions in each size class: Small d
- 1,000 Scientist AI Jam Session — OpenAI
OpenAI and nine national labs bring together leading scientists for first-of-its kind event.
- 2023, year of open LLMs — Hugging Face
- 2024 Security Feature Highlights — Hugging Face
arXiv AI
arXiv:2607.28432v2 Announce Type: replace Abstract: Intelligence is commonly understood as the ability to acquire and apply knowledge, adapt to unfamiliar situations and solve new problems. Large language models exhibit this capacity by inferring task-relevant knowledge from tex
arXiv:2608.08192v1 Announce Type: new Abstract: Standard approaches to abductive reasoning can retain multiple candidate explanations, but they do not generally combine explicit compositional cross-hypothesis interaction with an internal, rival-sensitive commitment judgment. Thi
arXiv:2608.09088v1 Announce Type: new Abstract: Mixed emotions represent a clinically relevant but still underexplored target for automatic emotion recognition. EEG provides millisecond-level access to neural activity, yet most EEG pipelines analyze the signal through a single t
arXiv:2608.08898v1 Announce Type: cross Abstract: Characterising optimisation problem instances is a fundamental part of understanding the behaviour and performance of different algorithms as well as providing information for algorithm selection and configuration. In this paper
arXiv:2608.08632v1 Announce Type: new Abstract: Airport landside traffic centers connect terminal arrivals with taxis, ride-hailing vehicles, private cars, buses, metro services, parking facilities, and terminal-area roadways. Peak arrivals can create coupled congestion across p
arXiv ML
arXiv:2608.08040v1 Announce Type: cross Abstract: We introduce conditional cylindrical neural networks for approximating functionals of conditional laws in McKean-Vlasov equations with common noise. Fourier moments of the initial law and truncated signatures of the time augmente
arXiv:2307.13127v4 Announce Type: replace-cross Abstract: Data used to train predictive models via empirical risk minimization (ERM) often contain sensitive personal information. While differential privacy (DP) provides mathematically provable bounds to protect such data, previo
arXiv:2608.08743v1 Announce Type: cross Abstract: Reinforcement learning (RL) seeks to optimize sequential decisions to maximize population-level benefits over time. However, when deployed in high-stakes settings such as healthcare, RL decisions might systematically restrict som
arXiv:2608.08920v1 Announce Type: new Abstract: Perioperative risk prediction models are often limited by narrow surgical populations, incomplete intraoperative data, poor calibration, and limited interpretability. We present a domain-structured ensemble framework for perioperat
arXiv:2608.08156v1 Announce Type: new Abstract: In evolutionary algorithms powered by language models, the LLM acts as a single operator that simultaneously updates structural components (like control flow) and continuous parameters. While LLMs can be good at the first, they are
arXiv NLP
arXiv:2608.09855v1 Announce Type: cross Abstract: Autonomous research agents can generate experiments faster than researchers can validate them. Researchers have responded by scaling the proposer and ranking more samples with a learned judge or human reviewers. We argue that thi
arXiv:2608.09142v1 Announce Type: new Abstract: Treatment planning in precision oncology requires synthesizing heterogeneous patient information with rapidly evolving clinical guidelines to ensure guideline-concordant care. While large language models (LLMs) show promise in many
arXiv:2608.07537v1 Announce Type: cross Abstract: In this study, we propose a framework that incorporates subjective evaluations provided by a Vision-Language Model (VLM) into the fitness evaluation and selection processes of a genetic algorithm. As the target of evolution, we e
arXiv:2608.08732v1 Announce Type: cross Abstract: Multi-vector vision-language retrievers enable fine-grained Visual Document Retrieval (VDR) through late interaction, but storing and scoring hundreds of visual patch embeddings per page incurs substantial overhead. Existing trai
arXiv:2608.08059v1 Announce Type: new Abstract: Post-Editing (PE) of Machine Translation (MT) output often involves repeating the same lexical and terminological corrections across many segments, especially in specialised and highly repetitive documents. Despite substantial work
arXiv SE
arXiv:2606.13804v2 Announce Type: replace Abstract: Manual testing, in which testers follow natural language instructions to validate system behavior, remains essential for uncovering issues that are difficult to capture with automation. However, manual test cases often contain
arXiv:2606.09942v2 Announce Type: replace Abstract: Microservice systems are widely used to build cloud applications, yet their complexity makes failures inevitable, degrading user experience and causing economic loss. Automated anomaly detection and root cause analysis (RCA) ar
arXiv:2606.21597v2 Announce Type: replace Abstract: The open-source ecosystem on GitHub lacks a systematic hierarchical taxonomy of software repositories. GitHub Topics, the dominant organizational mechanism, is flat, inconsistent, and covers only 67% of projects. We present ATL
arXiv:2608.08927v1 Announce Type: new Abstract: Biomedical research has accumulated vast molecular, clinical, and population data, yet translating this wealth into actionable knowledge remains constrained by technical and organizational difficulties. This article presents a unif
arXiv:2506.17798v3 Announce Type: replace Abstract: The integration of open-source libraries in Java development introduces severe security risks through vulnerable APIs. Existing program analysis and deep learning tools face the challenge of capturing inter-procedural vulnerabi
IEEE Spectrum
Quantum computing is a devilishly complex technology, with many technical hurdles impacting its development. Of these challenges two critical issues stand out: miniaturization and qubit quality.IBM has adopted the superconducting qubit road map of reaching a 1,121-qubit processor
The history of networking is full of tools that repurposed solutions to very different kinds of problems first. Wi-Fi’s origins trace back, in part, to a team of Australian radio astronomers trying to detect signals from evaporating black holes. But the data-processing tools they
If you’re wondering what dark matter is, you’re not alone. Astronomers don’t know. But they’ve determined that this invisible material must be far more abundant than the stars and nebulas that they can see. They’ve surmised as much from observing the gravitational effects of all
In the eastern Indian Ocean, south of Java in the vast sea stretching toward Australia, a fishing vessel slightly alters its course while operating near the boundary of its authorized fishing ground. Nothing appears unusual on deck. Nets remain in the water. Engines maintain a st
ACM Queue
Quanta Magazine
A river has my heart. It’s not the austere, black Thames winding through London, where I was born, but a lazy green one 5,000 miles away, where I spent my adolescence: the Blanco River in Texas. My maternal ancestors have dipped into its waters for generations, as I have on
On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model — one not available to the public — had come up with a counterexample to the “unit distance” problem, a conjecture made in 1946 by Paul Erdős, the prolific
Nature Machine Intelligence
Nature Machine Intelligence, Published online: 10 August 2026; doi:10.1038/s42256-026-01280-2Johnson et al. demonstrate an autonomous three-bar tensegrity robot capable of robust locomotion across varied terrains even after extreme impacts, including a 5.7-m drop onto asphalt.
Nature Machine Intelligence, Published online: 03 August 2026; doi:10.1038/s42256-026-01282-0Generative machine learning methods have led to progress in crystal discovery, but cannot fully explore the space of material candidates that are both novel and useful. A reinforcement le
Nature Machine Intelligence, Published online: 30 July 2026; doi:10.1038/s42256-026-01277-xLai et al. extend and evaluate a unified framework for liquid electrolyte design, showing how data size and composition affect robustness, and demonstrating improved cross-system transferab
Berkeley BAIR
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel across time, (2) adding stochasticity directly to the state iterates for explorati
Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements
MIT CSAIL
Antonio Torralba, Delta Electronics Professor of Electrical Engineering and Computer Science and faculty head of artificial intelligence and decision-making at MIT, has been named to the 2025 cohort of Association for Computing Machinery (ACM) Fellows. He shares the honor of an A
Each spring, river herring populations migrate from Massachusetts coastal waters to begin their annual journey up rivers and streams to freshwater spawning habitat. River herring have faced severe population declines over the past several decades, and their migration is exte
Daniela Rus, director of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Panasonic Professor of Computer Science, has received the 2026 High-Tech Prize of the Bavarian Minister-President for her contributions to robotics, artificial intelligence, and
Google DeepMind
Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.
The initiative brings together some of the world's most prestigious research institutions to pioneer the use of AI in mathematical research.
Research papers point to the growing impact of Deep Think across fields
OpenAI
OpenAI is launching an initial $50 million fund that supports nonprofit and community organizations, informed by the independent OpenAI Nonprofit Commission report.
OpenAI outlines a blueprint for U.S. governance of frontier AI, proposing a federal framework for safety, resilience, and national security.
Google Research
General Science
Algorithms & Theory
Generative AI
Apple ML Research
While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its lower-dimensional embedding, largely overlooking the rich k-nearest-neighbor (kNN) graph that UMAP constructs internally. This graph encodes the data manifold in its original high-dimens
The quality of open-weight language models has dramatically improved in recent years. Sharing weights greatly facilitates model adoption by enabling their use across diverse hardware and software platforms. They also allow for more open research and testing, to the extent that us
Siri Expressive Voices synthesize rich, configurable speech in real time and entirely on device, powered by AFM 3 Core Advanced, Apple’s most powerful on-device foundation model. This work presents the memory-efficient audio synthesis architecture behind that capability: a detoke
Hugging Face
Microsoft Research
At a glance Polished charts from simple specs. Flint allows AI agents to reliably generate expressive, visually polished charts from simple, human-editable specifications. Semantic types guide design. Flint leverages semantic data types to express meanings of data. They he
At a glance Today’s AI agents don’t remember past interactions. They must repeatedly be fed relevant information or retrieve it from external sources, which becomes less efficient as they handle longer and more complex tasks. To scale agent capabilities, we need a
At a glance Orchard is an open-source framework for scalable and cost-effective agentic AI research, built around Orchard Env, a reusable environment service for training and evaluating agents across task domains. The same Orchard infrastructure supports software-engineeri
IEEE Spectrum Semiconductors
Darwesh Singh thinks Nvidia has a weakness.The last decade of Nvidia’s history was among the most consequential stories in technology ever. The company’s stock price has increased over 200-fold since 2016, and deployed Nvidia AI compute capacity has surged to 225 times greater th
A new type of imaging sensor inspired by the functioning of the human brain can detect light and store data at the same time. What’s more, the device can forget the data it no longer needs, paving the way for future breakthroughs in robotic-vision efficiency.Today’s digital camer
When Mitchell Hsing was a grad student at MIT, he and his classmates were doing cutting-edge things using what was essentially chip-industry cast-off equipment. Just imagine what could get done if everyone had their own small fabs to spin up prototypes or manufacture small batche
SemiEngineering
Researchers from Texas A&M University, KIMM, and UST published a technical paper titled “Self-Focusing Control for Depth-Precise Wafer Slicing of 4H-SiC in Femtosecond Laser Processing.” Abstract Excerpt: “Femtosecond laser slicing for 4H-SiC wafers offers a non-contact
Last month we discussed: how data center AI is growing rapidly; how almost everyone says they could grow revenue faster with more compute; and, that there are challenging, stubborn bottlenecks to data center AI growth, especially Foundry, Memory, Power, and Lasers. Recently, al
An imec researcher published a technical paper titled “Bond Front Velocity in Lubrication-Mediated Bonding of Flexible Substrates.” Abstract: “Bonding and assembly processes have started to take the centre-stage in semiconductor manufacturing as they enable three-dimensiona
EE Times
Chiplets are auto’s escape hatch from bloated SoCs, scaling SDV compute without wrecking cost or software. The post Chiplet Architectures as a Practical Path to Scalable Automotive Compute appeared first on EE Times.
Date: Tuesday, September 15, 2026 Time: 8:00am PDT | 11:00am EDT | 17:00 CEST As software-defined vehicles and zonal and centralized compute architectures evolve, engineering complexity is increasingly
Learn how comprehensive hardware-assisted verification helps AI SoC teams accelerate RTL, software development and system validation. The post Leading-edge AI IC designs demand comprehensive HAV methodologies appeared first on EE Times.
arXiv Hardware
arXiv:2607.05445v2 Announce Type: replace Abstract: Extended Reality (XR) wearables require always-on perception within tight power envelopes of a few watts and motion-to-photon latency budgets below 20 ms, leaving only a few milliseconds for neural-network inference. Bit-serial
arXiv:2608.06318v2 Announce Type: replace Abstract: As quantum computing continues to demonstrate promise and attract growing attention, there is an increasing need for more precise experiments to advance the development of quantum devices, as well as higher circuit throughput t
arXiv:2608.08611v1 Announce Type: cross Abstract: The scaling-up of large language models (LLMs) necessitates computing systems to have multi-processor-chip architectures, elevating the importance of chip-to-chip (C2C) communication. However, designing efficient C2C hardware arc
arXiv:2608.08761v1 Announce Type: new Abstract: In an era defined by escalating climate change and the pervasive deployment of edge intelligence, the environmental cost of semiconductor manufacturing and operation has reached a critical threshold. As Deep Learning (DL) accelerat
IEEE Spectrum Robotics
An examination of how socially assistive wellness robots could support the seven dimensions of senior wellness, and how a framework can measure their autonomy.What Attendees will LearnWhy the senior care crisis exceeds incremental automation. Demographic pressure, workforce short
Borys Drozhak has a vision: a front line almost free of humans, patrolled by flying drones and ground robots, and continuously monitored by AI-controlled sensor networks. And it’s not a pipe dream. Ukrainian roboticists have made major strides in that direction over the past four
Thirteen years ago last August, I was camped out in NASA’s Jet Propulsion Laboratory press room in Pasadena, Calif., waiting to see whether the Curiosity rover would survive its descent and skycrane-assisted landing on the surface of Mars. It did, and it was awesome.Since then, C
arXiv Robotics
arXiv:2608.09520v1 Announce Type: cross Abstract: In many autonomous applications requiring real-time localization, active marker-based systems are preferred due to their low latency and ease of deployment compared to computationally demanding feature-based methods. Event~\mbox{
arXiv:2608.07887v1 Announce Type: new Abstract: Robotic grasping of thin, flat objects such as coins on hard surfaces remains challenging because conventional methods require reorienting the object, accessing its underside, or adding a dedicated nail mechanism. We previously sho
arXiv:2608.07624v1 Announce Type: new Abstract: Tracked robots are widely used in unstructured environments; however, their obstacle traversal capability is fundamentally limited by a tradeoff between front-end reachability and locomotion stability. This study presents TRASER (T
arXiv:2608.09620v1 Announce Type: cross Abstract: Autonomous robots increasingly rely on edge computing to offload computationally intensive perception tasks while maintaining real-time operation over 5G networks. However, conventional fiducial marker detection pipelines provide
Robohub
Image copyright: Raphael Zufferey. By Jennifer Chu Loons, gulls, puffins, and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge in water to swim after prey, and then leap back into the air to fly away. Now, inspired by these na
RoboCup is an international competition that promotes and advances robotics and AI through the challenges presented by its various leagues. We got the chance to sit down with Professor Manuela Veloso, one of RoboCup’s founders, to find out more about how it all started, how the c
Cloudflare Blog
When you look at your AI bill, it can be hard to tell if anything is amiss. You first need a baseline so you can see what has changed, whether it’s an agent that’s gone wild or an employee whose usage has spiked 10x. Being able to spot those shifts lets you start investigating, a
Today, we’re excited to announce a few developer experience improvements to Cloudflare AI Search to make it easy to manage a search solution out of the box. Previously, you had to stitch together components of the Cloudflare primitives (Workers AI, AI Gateway, Vectorize, R2, Brow
We're honored to announce that Cloudflare is the only vendor that has been recognized as a Visionary in both the 2026 Gartner® Magic Quadrant™ for SASE Platforms and the 2026 Gartner® Magic Quadrant™ for Security Service Edge reports. To us, this validates our architectural
Netflix TechBlog
Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a Netflix homepage one row or entity at a time, each one conditioned on what’s already on the page and the user’s context.IntroductionThe Netflix homepage is the fir
Authors: Ying Li, Arjun Rao, Shradha SehgalIntroductionRecommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, items, and interactions, along with specialized architectures for sequence model
Simon Willison
Release: condense-json 1.1 After shipping condense-json 1.0 I started integrating it into LLM, and found there were some desirable new features already: Replacements object can now include values other than strings. These will be identified and used as structural replac
Release: datasette 0.65.3 Back-ported the SQL Injection security fix from 1.0a38. Tags: datasette
Release: datasette 1.0a38 This release fixes a SQL injection security issue that affects Datasette instances that serve a mixture of public and private tables in the same database, with access configured using the Datasette permissions system. Site administrators who ser
Lil'Log (Lilian Weng)
(The post was originated from my talk for WiMLDS x Fintech meetup hosted by Affirm.) I believe many of you have watched or heard of the games between AlphaGo and professional Go player Lee Sedol in 2016. Lee has the highest rank of nine dan and many world championships. No doubt,
Professor Naftali Tishby passed away in 2021. Hope the post can introduce his cool idea of information bottleneck to more people. Recently I watched the talk “Information Theory in Deep Learning” by Prof Naftali Tishby and found it very interesting. He presented how t
Hacker News
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Lobsters
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