Tech + AI + Science NewsTech + AI + Science News
14 item(s)

Tech + AI + Science News
A new personal finance experience in ChatGPT
OpenAI News
A new personal finance experience in ChatGPT
OpenAI News · 2026-05-15
Preview a new personal finance experience in ChatGPT for Pro users in the U.S. Securely connect your financial accounts and get AI-powered insights and guidance grounded in your financial context, goals, and priorities.
Tech + AI + Science News
Databricks brings GPT-5.5 to enterprise agent workflows
OpenAI News
Databricks brings GPT-5.5 to enterprise agent workflows new
OpenAI News · 2026-05-15
Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.

Tech + AI + Science News
Sea's View on the Future of Agentic
OpenAI News
Sea's View on the Future of Agentic Software Development with Codex
OpenAI News · 2026-05-14
Sea Limited's CPO explains why the company is deploying Codex across engineering teams to accelerate AI-native software development in Asia.

Tech + AI + Science News
Helping ChatGPT better recognize context in sensitive
OpenAI News
Helping ChatGPT better recognize context in sensitive conversations
OpenAI News · 2026-05-14
Learn how new ChatGPT safety updates improve context awareness in sensitive conversations, helping detect risk over time and respond more safely.
Tech + AI + Science News
AI models are getting better at replacing
Brave News
AI models are getting better at replacing cybersecurity pros on certain tasks
Brave News
AISA does not cite a specific value ... AI research house METR. "Their results imply a consistent doubling time of 4.2 months on software tasks since late 2024," AISI said, noting that with the latest Mythos Preview checkpoint (model update), it's closer to 4 months. Note that the time window benchmark is not a broad ...
Tech + AI + Science News
Network outages, power failures strain data center
Brave News
Network outages, power failures strain data center resiliency | Network World
Brave News
Power failures are to blame for the most impactful data center outages, while network issues are the most frequent culprits for IT service disruptions, according to Uptime Institute's latest analysis.
Tech + AI + Science News
5 open-source developer tools that are better
Brave News
5 open-source developer tools that are better than their well-funded competitors new
Brave News
As someone who frequently maps ... brainstorming a new project layout on an infinite canvas (like dragging in blocks, drawing connectors, and grouping ideas), and then flip to a document view to refine the technical specs. AFFiNE is an open-source PKM tool that rivals ...

Tech + AI + Science News
How should schools and teachers approach using
Brave News
How should schools and teachers approach using screens in schools? | EdSource new
Brave News
The Kern County district superintendent ... development and ability to learn. That conversation took center stage Wednesday during an EdSource roundtable on education technology. The panelists – a student, parent, teacher, superintendent and researcher – discussed how to balance ...

Tech + AI + Science News
I broke AppLovin's mediation cipher protocol
Hacker News
I broke AppLovin's mediation cipher protocol new
Hacker News · 2026-05-16
Comments
Tech + AI + Science News
Show HN: Epiq – Distributed Git based
Hacker News
Show HN: Epiq – Distributed Git based issue tracker TUI new
Hacker News · 2026-05-16
Comments
Tech + AI + Science News
The main thing about P2P meth is
Hacker News
The main thing about P2P meth is that there's so much of it (2021) new
Hacker News · 2026-05-15
Comments
Tech + AI + Science News
Erlang/OTP 29.0
Hacker News
Erlang/OTP 29.0 new
Hacker News · 2026-05-15
Comments
Tech + AI + Science News
NASA’s new AI space chip could let
ScienceDaily — Artificial Intelligence
NASA’s new AI space chip could let spacecraft think for themselves
ScienceDaily — Artificial Intelligence · 2026-05-15
NASA is testing a next-generation space computer chip that could give spacecraft the ability to operate far more independently in deep space. The radiation-hardened processor is showing performance levels hundreds of times beyond current spaceflight computers while surviving punishing tests designed to mimic the harsh conditions of space. The technology could enable AI-powered spacecraft, faster scientific discoveries, and smarter missions to the Moon and Mars.

Tech + AI + Science News
New quantum algorithm solves “impossible” materials problem
ScienceDaily — Artificial Intelligence
New quantum algorithm solves “impossible” materials problem in seconds
ScienceDaily — Artificial Intelligence · 2026-05-13
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum materials known as quasicrystals, opening the door to powerful new quantum devices and ultra-efficient electronics. The work could help scientists design advanced topological qubits and materials for future quantum computers.
Research (arXiv)Research (arXiv)
10 item(s)

Research (arXiv)
Mixed-State Long-Range Entanglement from Dimensional Constraints
arXiv
Mixed-State Long-Range Entanglement from Dimensional Constraints
arXiv · 2026-05-14
We present a new mechanism for long-range entanglement (LRE) in strongly symmetric many-body mixed states that does not rely on symmetry anomalies or long-range correlations. Our primary example is the maximally mixed state in the translation-invariant subspace on a one-dimensional ring. This state is LRE because translationally symmetric short-range entangled states span a subspace whose dimension grows only polynomially with system size, whereas the full translation-invariant subspace grows exponentially. We further discuss certain unconventional properties of this state, including logarithmically growing conditional mutual information, strong-to-weak spontaneous symmetry-breaking, and Rényi-index-dependent operator-space entanglement. We also construct a geometrically non-local Lindbladian to stabilize this state as the steady state. Our results identify dimensional mismatch as a nove

Research (arXiv)
Translation symmetry-enforced long-range entanglement in mixed…
arXiv
Translation symmetry-enforced long-range entanglement in mixed states
arXiv · 2026-05-14
We show by a counting argument that even though translation symmetry admits symmetric short-range entangled (SRE) eigenstates, there are not enough such SRE eigenstates to span the zero momentum sector. This means that the fixed point strong-to-weak spontaneous symmetry breaking state of translation symmetry is long-range entangled: it cannot be written as a mixture of SRE states. This is a subtle form of long-range entanglement in mixed states that cannot be detected by long-range connected correlation functions.

Research (arXiv)
EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Vi…
arXiv
EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation
arXiv · 2026-05-14
Multi-shot video generation extends single-shot generation to coherent visual narratives, yet maintaining consistent characters, objects, and locations across shots remains a challenge over long sequences. Existing evaluations typically use independently generated prompt sets with limited entity coverage and simple consistency metrics, making standardized comparison difficult. We introduce EntityBench, a benchmark of 140 episodes (2,491 shots) derived from real narrative media, with explicit per-shot entity schedules tracking characters, objects, and locations simultaneously across easy / medium / hard tiers of up to 50 shots, 13 cross-shot characters, 8 cross-shot locations, 22 cross-shot objects, and recurrence gaps spanning up to 48 shots. It is paired with a three-pillar evaluation suite that disentangles intra-shot quality, prompt-following alignment, and cross-shot consistency, wit

Research (arXiv)
ATLAS: Agentic or Latent Visual Reasoning? One
arXiv
ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both
arXiv · 2026-05-14
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensive and architecturally non-trivial. Recent alternatives include agentic reasoning through code or tool calls, and latent reasoning with learnable hidden embeddings. However, agentic methods incur context-switching latency from external execution, while latent methods lack task generalization and are difficult to train with autoregressive parallelization. To combine their strengths while mitigating their limitations, we propose ATLAS, a framework in which a single discrete 'word', termed as a functional token, serves both as an agentic operation and a latent visual reasoning unit. Each functional token is associated with an internalized visual

Research (arXiv)
RefDecoder: Enhancing Visual Generation with Conditional Video
arXiv
RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
arXiv · 2026-05-14
Video generation powers a vast array of downstream applications. However, while the de facto standard, i.e., latent diffusion models, typically employ heavily conditioned denoising networks, their decoders often remain unconditional. We observe that this architectural asymmetry leads to significant loss of detail and inconsistency relative to the input image. To address this, we argue that the decoder requires equal conditioning to preserve structural integrity. We introduce RefDecoder, a reference-conditioned video VAE decoder by injecting high-fidelity reference image signal directly into the decoding process via reference attention. Specifically, a lightweight image encoder maps the reference frame into the detail-rich high-dimensional tokens, which are co-processed with the denoised video latent tokens at each decoder up-sampling stage. We demonstrate consistent improvements across s
VGGT-$Ω$
arXiv · 2026-05-14
Recent feed-forward reconstruction models, such as VGGT, have proven competitive with traditional optimization-based reconstructors while also providing geometry-aware features useful for other tasks. Here, we show that the quality of these models scales predictably with model and data size. We do so by introducing VGGT-$Ω$, which substantially improves reconstruction accuracy, efficiency, and capabilities for both static and dynamic scenes. To enable training this model at an unprecedented scale, we introduce architectural changes that improve training efficiency, a high-quality data annotation pipeline that supports dynamic scenes, and a self-supervised learning protocol. We simplify VGGT's architecture by using a single dense prediction head with multi-task supervision and removing the expensive high-resolution convolutional layers. We also use registers to aggregate scene information

Research (arXiv)
Non-Invertible Symmetries on Tensor-Product Hilbert Spaces and
arXiv
Non-Invertible Symmetries on Tensor-Product Hilbert Spaces and Quantum Cellular Automata
arXiv · 2026-05-14
We investigate realizations of (1+1)-dimensional fusion category symmetries on tensor-product Hilbert spaces, allowing for mixing with quantum cellular automata (QCAs). It was argued recently that any such realizable symmetry must be weakly integral. We develop a systematic analysis of QCA-refined realizations of fusion categories and prove two statements. First, we show that, under certain physical assumptions on defects, any QCA-refined realization has QCA and symmetry-operator indices determined by the categorical data, up to the freedom of redefining the symmetry operators. Second, we construct a lattice model that provides a QCA-refined realization for any weakly integral fusion category symmetry on a tensor product Hilbert space. We also compute indices of the QCAs in our lattice model and show agreement with the first result. As an application of the general construction, we give

Research (arXiv)
Aligning Latent Geometry for Spherical Flow Matching
arXiv
Aligning Latent Geometry for Spherical Flow Matching in Image Generation
arXiv · 2026-05-14
Latent flow matching for image generation usually transports Gaussian noise to variational autoencoder latents along linear paths. Both endpoints, however, concentrate in thin spherical shells, and a Euclidean chord leaves those shells even when preprocessing aligns their radii. By decomposing each latent token into radial and angular components, we show through component-swap probes that decoded perceptual and semantic content is carried predominantly by direction, with radius contributing much less. We therefore project data latents onto a fixed token radius, use the radial projection of Gaussian noise as the spherical prior, finetune the decoder with the encoder frozen, and replace linear interpolation with spherical linear interpolation. The resulting geodesic paths stay on the sphere at every timestep, and their velocity targets are purely angular by construction. Under matched trai

Research (arXiv)
RAVEN: Real-time Autoregressive Video Extrapolation with Consis…
arXiv
RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO
arXiv · 2026-05-14
Causal autoregressive video diffusion models support real-time streaming generation by extrapolating future chunks from previously generated content. Distilling such generators from high-fidelity bidirectional teachers yields competitive few-step models, yet a persistent gap between the history distributions encountered during training and those arising at inference constrains generation quality over long horizons. We introduce the Real-time Autoregressive Video Extrapolation Network (RAVEN), a training-time test framework that repacks each self rollout into an interleaved sequence of clean historical endpoints and noisy denoising states. This formulation aligns training attention with inference-time extrapolation and allows downstream chunk losses to supervise the history representations on which future predictions depend. We further propose Consistency-model Group Relative Policy Optim

Research (arXiv)
FutureSim: Replaying World Events to Evaluate Adaptive
arXiv
FutureSim: Replaying World Events to Evaluate Adaptive Agents
arXiv · 2026-05-14
AI agents are being increasingly deployed in dynamic, open-ended environments that require adapting to new information as it arrives. To efficiently measure this capability for realistic use-cases, we propose building grounded simulations that replay real-world events in the order they occurred. We build FutureSim, where agents forecast world events beyond their knowledge cutoff while interacting with a chronological replay of the world: real news articles arriving and questions resolving over the simulated period. We evaluate frontier agents in their native harness, testing their ability to predict world events over a three-month period from January to March 2026. FutureSim reveals a clear separation in their capabilities, with the best agent's accuracy being 25%, and many having worse Brier skill score than making no prediction at all. Through careful ablations, we show how FutureSim o
Security (NVD + CISA KEV)Security (NVD + CISA KEV)
14 item(s)

Security (NVD + CISA KEV)
CVE-2017-3324· CVSS 10.0 CRITICAL
NVD
CVE-2017-3324· CVSS 10.0 CRITICAL
NVD · 2017-01-28
Vulnerability in the Primavera P6 Enterprise Project Portfolio Management component of Oracle Primavera Products Suite (subcomponent: Web Access). Supported versions that are affected are 8.2, 8.3, 8.4, 15.1, 15.2, 16.1 and 16.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Primavera P6 Enterprise Project Portfolio Management. While the vulnerability is in Primavera P6 Enterprise Project Portfolio Management, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Primavera P6 Enterprise Project Portfolio Management accessible data as well as unauthorized access to critical data or complete access to all Primavera P6 Enterprise Project Portfolio Management accessible data and unauthorized ability

Security (NVD + CISA KEV)
CVE-2016-3152· CVSS 9.8 CRITICAL
NVD
CVE-2016-3152· CVSS 9.8 CRITICAL
NVD · 2017-01-13
Barco ClickShare CSC-1 devices with firmware before 01.09.03 allow remote attackers to obtain the root password by downloading and extracting the firmware image.

Security (NVD + CISA KEV)
CVE-2016-9299· CVSS 9.8 CRITICAL
NVD
CVE-2016-9299· CVSS 9.8 CRITICAL
NVD · 2017-01-13
The remoting module in Jenkins before 2.32 and LTS before 2.19.3 allows remote attackers to execute arbitrary code via a crafted serialized Java object, which triggers an LDAP query to a third-party server.

Security (NVD + CISA KEV)
CVE-2016-10141· CVSS 9.8 CRITICAL
NVD
CVE-2016-10141· CVSS 9.8 CRITICAL
NVD · 2017-01-13
An integer overflow vulnerability was observed in the regemit function in regexp.c in Artifex Software, Inc. MuJS before fa3d30fd18c348bb4b1f3858fb860f4fcd4b2045. The attack requires a regular expression with nested repetition. A successful exploitation of this issue can lead to code execution or a denial of service (buffer overflow) condition.

Security (NVD + CISA KEV)
CVE-2015-3188· CVSS 9.8 CRITICAL
NVD
CVE-2015-3188· CVSS 9.8 CRITICAL
NVD · 2017-01-13
The UI daemon in Apache Storm 0.10.0 before 0.10.0-beta1 allows remote attackers to execute arbitrary code via unspecified vectors.

Security (NVD + CISA KEV)
CVE-2016-2090· CVSS 9.8 CRITICAL
NVD
CVE-2016-2090· CVSS 9.8 CRITICAL
NVD · 2017-01-13
Off-by-one vulnerability in the fgetwln function in libbsd before 0.8.2 allows attackers to have unspecified impact via unknown vectors, which trigger a heap-based buffer overflow.

Security (NVD + CISA KEV)
CVE-2016-8204· CVSS 9.8 CRITICAL
NVD
CVE-2016-8204· CVSS 9.8 CRITICAL
NVD · 2017-01-15
A Directory Traversal vulnerability in FileReceiveServlet in the Brocade Network Advisor versions released prior to and including 14.0.2 could allow remote attackers to upload a malicious file in a section of the file system where it can be executed.

Security (NVD + CISA KEV)
CVE-2016-8205· CVSS 9.8 CRITICAL
NVD
CVE-2016-8205· CVSS 9.8 CRITICAL
NVD · 2017-01-15
A Directory Traversal vulnerability in DashboardFileReceiveServlet in the Brocade Network Advisor versions released prior to and including 14.0.2 could allow remote attackers to upload a malicious file in a section of the file system where it can be executed.

Security (NVD + CISA KEV)
CVE-2017-5517· CVSS 9.8 CRITICAL
NVD
CVE-2017-5517· CVSS 9.8 CRITICAL
NVD · 2017-01-17
SQL injection vulnerability in author.control.php in GeniXCMS through 0.0.8 allows remote attackers to execute arbitrary SQL commands via the type parameter.

Security (NVD + CISA KEV)
CVE-2017-5519· CVSS 9.8 CRITICAL
NVD
CVE-2017-5519· CVSS 9.8 CRITICAL
NVD · 2017-01-17
SQL injection vulnerability in Posts.class.php in GeniXCMS through 0.0.8 allows remote attackers to execute arbitrary SQL commands via the id parameter.

Security (NVD + CISA KEV)
CVE-2016-7996· CVSS 9.8 CRITICAL
NVD
CVE-2016-7996· CVSS 9.8 CRITICAL
NVD · 2017-01-18
Heap-based buffer overflow in the WPG format reader in GraphicsMagick 1.3.25 and earlier allows remote attackers to have unspecified impact via a colormap with a large number of entries.

Security (NVD + CISA KEV)
CVE-2016-9676· CVSS 9.8 CRITICAL
NVD
CVE-2016-9676· CVSS 9.8 CRITICAL
NVD · 2017-01-19
Buffer overflow in Citrix Provisioning Services before 7.12 allows attackers to execute arbitrary code via unspecified vectors.

Security (NVD + CISA KEV)
CVE-2016-9678· CVSS 9.8 CRITICAL
NVD
CVE-2016-9678· CVSS 9.8 CRITICAL
NVD · 2017-01-19
Use-after-free vulnerability in Citrix Provisioning Services before 7.12 allows attackers to execute arbitrary code via unspecified vectors.

Security (NVD + CISA KEV)
CVE-2016-9679· CVSS 9.8 CRITICAL
NVD
CVE-2016-9679· CVSS 9.8 CRITICAL
NVD · 2017-01-19
Citrix Provisioning Services before 7.12 allows attackers to execute arbitrary code by overwriting a function pointer.
Projects + Resources (Discovery)Projects + Resources (Discovery)
10 item(s)
Projects + Resources (Discovery)
GitHub - MIMII-hitachi/mimii_baseline: A baseline sample code
Brave Search
GitHub - MIMII-hitachi/mimii_baseline: A baseline sample code of anomaly detection for MIMII Dataset · GitHub new
Brave Search
4th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2019. Please download .zip files from ZENODO (https://zenodo.org/record/3384388). After downloading, .zip files locate under "./dataset" directory. ... 7z.sh only support Ubuntu 16.04 LTS and 18.04 LTS. If you use Windows or Cent OS, please edit the scripts. ... DAE (Deep AutoEncoder) based anomaly detection will run.
Projects + Resources (Discovery)
GitHub - MartinStokroos/openMicroInverter: An open hardware pla…
Brave Search
GitHub - MartinStokroos/openMicroInverter: An open hardware platform for experimenting with DC-to-AC conversion, power and energy metering and grid tie inverters. new
Brave Search
The motor shield works for demonstration purpose, but the board needs modifications to be useful with power converters. Inverter2.ino This sketch synchronizes the internal reference generator to the grid voltage. The DDS (inverter) output wave phase offset can be controlled with a potmeter connected with input A5 (see schematic openMicroInverter_dev.pdf on how to connect the potentiometer) The plot below shows the grid phase and the inverter phase (arbitrary units) when locked.
Projects + Resources (Discovery)
Inverter - Open Source Ecology
Brave Search
Inverter - Open Source Ecology new
Brave Search
In summary, use a voltage regulator with circuitry to make a reference sine wave at the desired AC frequency and a carrier triangle wave at high frequency, compare the two waves to get a PWM signal and run that into an H-bridge with high DC input from a boost converter, then followed by a filter and a feedback circuit. Tada, inverter. ... Some from Universal Power Supply/Research Development.
Projects + Resources (Discovery)
Open Energy Data Initiative
Brave Search
Open Energy Data Initiative (OEDI) new
Brave Search
<strong>A searchable online software discovery platform and knowledge base, developed by NLR, and powered by OpenEI: Open Energy Information</strong>.
Projects + Resources (Discovery)
Department of Energy's Open Energy Data Initiative
Brave Search
Department of Energy's Open Energy Data Initiative (OEDI) - Registry of Open Data on AWS new
Brave Search
See all datasets managed by National Laboratory of the Rockies. ... Department of Energy's Open Energy Data Initiative (OEDI) was accessed on DATE from <strong>https://registry.opendata.aws/oedi-data-lake</strong>. NSRDB Viewer by National Renewable Energy Laboratory (NREL)

Projects + Resources (Discovery)
Modelica Buildings library - Simulation Research
Brave Search
Modelica Buildings library - Simulation Research new
Brave Search
<strong>The Modelica Buildings library is a free open-source library with dynamic simulation models for building and district energy and control systems</strong>. Its primary use is for flexible and fast modeling in support of design and operation of new and existing energy and control systems for buildings, ...
Projects + Resources (Discovery)
Dynamics and Vibration (13.013J) | Mechanical Engineering
Brave Search
Dynamics and Vibration (13.013J) | Mechanical Engineering | MIT OpenCourseWare new
Brave Search
<strong>Introduction to dynamics and vibration of lumped-parameter models of mechanical systems</strong>. Three-dimensional particle kinematics. Force-momentum formulation for systems of particles and for rigid bodies (direct method).
Projects + Resources (Discovery)
Mechanical Vibration | Engineering Dynamics | Mechanical
Brave Search
Mechanical Vibration | Engineering Dynamics | Mechanical Engineering | MIT OpenCourseWare new
Brave Search
This section provides materials from a lecture session on mechanical vibration. Materials include a session overview, assignments, lecture videos, and a problem set with solutions.
Projects + Resources (Discovery)
High-frequency hardware design with open source signal
Brave Search
High-frequency hardware design with open source signal integrity analysis new
Brave Search
To close this gap, we developed a script called gerber2ems that translates PCB fabrication files (generated for example by KiCad), an open source hardware design suite, into a three-dimensional mesh which can be processed with openEMS. Below, we will review the basic principles of signal integrity analysis with OpenEMS, provide an overview of how the script works and the process of using our open source hardware test board to validate simulation output.
Projects + Resources (Discovery)
The Ultimate Introduction to High-Speed Signal Integrity
Brave Search
The Ultimate Introduction to High-Speed Signal Integrity for PCB Designers | Altium new
Brave Search
For example, an AC termination might use a 50-ohm resistor in parallel with a capacitor to terminate high-speed clock signals, providing broad frequency range matching (with the cutoff frequency (fc) where the impedance of the termination network matches the impedance of the transmission line is given by the following formula: fc=1/2πRC) Altium Designer Signal Integrity tool enable designers to specify appropriate trace termination · The dielectric constant (Dk) and loss tangent (Df) of PCB materials are critical factors in maintaining signal integrity.