ZeroHour
DashboardNewsCVEsExploitsIncidentsAIBriefAnalyticsEntitiesWatchlistIOCsAsk the feedSourcesFeeds & APIKiosk mode

Search: “Tohoku University”

25 stories

Searchkeywordsmart
DomainAllCyberAIWindow24h3d7d30dAllIn the wildImportant onlyShow duplicates
CategoryAllIndustry 2Research 2AI research 1Vulnerability 1
SeverityAllcritical 1high 0medium 0low 4info 1

Smart search ranks by meaning as well as keywords (one row per story, last 45 days).

Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation

Google Research and partners introduce ToolGrad, a verified tool-chain-first data generation framework reaching 99.8% pass rate and boosting Gemma-3-12B to 83.1 on BFCL.

Researchers from Google, the University of Tokyo, RIKEN AIP, and Tohoku University released ToolGrad, which inverts query-first tool-use data generation by executing and verifying API chains before annotating them with user queries. On the ToolBench database of 16,000+ APIs, ToolGrad raised generation pass rate from 63.8% to 99.8% while increasing tool uses per sample from 2.1 to 3.4 and cutting tool-use steps from 34.3 to 20.0. Fine-tuning Gemma-3 at 1B, 4B, and 12B parameters on the 500-sample ToolGrad-500 dataset lifted ToolGrad-12B to 83.1 on the Berkeley Function Calling Leaderboard, near Gemini 2.5 Pro at 83.2 and ahead of GPT-5 at 74.4. Code is Apache-2.0, with the dataset, PyPI package, and models available on Hugging Face.

MarkTechPost · 6d agoAI research1

KlueセキュリティインシデントとRecorded Futureへの影響

Recorded Future disclosed a Klue incident that exposed some Salesforce business data, including contacts and emails, via a compromised OAuth token.

Recorded Future disclosed that unauthorized activity in marketing vendor Klue's integration layer, starting June 12, 2026 and contained the same day, affected some of its Salesforce data through a compromised OAuth token in the Salesforce-Klue integration. Impacted fields are limited to business data such as customer contact names, email addresses, and possibly business contract information. No evidence indicates Recorded Future's core platform, Intelligence Graph, internal databases, or customer platform data were accessed. The company revoked all relevant OAuth tokens, coordinated with Salesforce and law enforcement, and began reviewing all third-party Salesforce integrations.

Recorded Future · Aug 12, 2026Data breach

2,000 Leaked Documents Reveal How Russia Turns Engineering Students Into GRU Cyber Operators

Leaked Bauman Moscow State Technical University files reveal a hidden GRU training pipeline feeding APT28 and Sandworm units.

More than 2,000 leaked Bauman Moscow State Technical University documents show that Department No. 4, a hidden program inside the Military Training Center, trained roughly 250 career and reserve students for GRU cyber and intelligence roles across six academic years. Graduates were linked to Military Unit 26165 (APT28), Unit 74455 (Sandworm/APT44) and Unit 29155, and former Unit 26165 commander Viktor Netyksho was involved in department oversight. Reporting by The Insider, The Guardian, Le Monde, Der Spiegel and other outlets, with independent analysis by DomainTools, estimates 10-15 students annually were selected for GRU-related assignments before graduating.

Security Affairs · 13d agoThreat actor1

North Korea-linked IT Workers Are Getting Hired Inside Western Companies

Huntress documented five DPRK-linked FAMOUS CHOLLIMA workers hired by Western companies in 2026 using fake identities, proxies and laptop farms.

Huntress published an investigation of five confirmed 2026 cases of North Korea-linked IT workers, tracked as FAMOUS CHOLLIMA, obtaining remote jobs at legitimate companies in IT, sales, marketing and healthcare. The workers use stolen or fabricated identity documents, VPNs and proxy services, and some were caught using PiKVM hardware-level control, travel routers and laptop farms to mask their true location. Detection relied on document forensics, behavioral anomalies and indicators like identical typo artifacts in electricity bills rather than network intrusions.

Security Affairs · 15d agoThreat actor in the wild

Leaked Russian Cyber-Operations Training Materials

Leaked Bauman university records reveal a formalized Russian pipeline training GRU cyber personnel, linking a graduate to Sandworm's Military Unit 74455.

Leaked training materials from Bauman university describe a force-generation mechanism feeding graduates into General Staff components, including the GRU and directorates responsible for protected communications, cryptography and information security. A 2024 graduate of Department No. 4, Aleksei Kondrashov, was linked to Military Unit 74455, the GRU unit known as Sandworm, which conducted destructive attacks including the 2017 NotPetya attack. Researchers say the leak shows Russian cyber capability is institutionally sustained through recruitment pipelines beyond the familiar APT28 and Sandworm brand names.

Schneier on Security · 15d agoThreat actor

日本のビジネスパーソンを対象としたWiz調査で 「AI導入加速」はクラウド移行を上回ることが明らかに

Wiz survey of Japanese business professionals finds AI adoption outranking cloud migration and 60% planning AI security investment.

A Wiz survey of Japanese business people found that accelerating AI adoption now outranks cloud migration as a priority. At the same time, more than 80% feel behind in preparing for AI-driven cyber-attacks, and 60% plan to invest in AI security. The findings highlight a preparedness gap as organizations adopt AI faster than they secure it.

Wiz Blog · 23d agoIndustry

Japan’s Health Ministry to Strengthen Cybersecurity Measures at Hospitals

Japan's Health Ministry requested ¥13.7 billion for fiscal 2027 to strengthen hospital cybersecurity with network protections and dedicated specialists amid rising attacks.

Japan's Health, Labor and Welfare Ministry included ¥13.7 billion in its fiscal 2027 budget request to strengthen cybersecurity at hospitals. The measures aim to protect hospital networks and deploy cybersecurity specialists, responding to a surge in cyberattacks on medical institutions. The plan was reported by The Yomiuri Shimbun.

DataBreaches.net · 9d agoPolicy & legal

Weverse Data Leak Affects More Than 422,000 K-Pop Fan Accounts

HYBE-affiliated Weverse confirmed a leak affecting 422,584 K-pop fan accounts, exposing mainly internal identifiers unusable outside the platform.

Weverse, the fan platform operated by HYBE-affiliated Weverse Company, confirmed a security incident affecting 422,584 user accounts. The exposed information consisted mainly of internal identifiers that cannot be used outside the platform. The company was notified by the Korea Internet & Security Agency (KISA) on September 3.

DataBreaches.net · 9d agoData breach

Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria

Survey of 761 Nigerian healthcare professionals finds high AI awareness (92.6%) but limited knowledge, preparedness, and major training and infrastructure barriers.

A cross-sectional study of 761 healthcare professionals across Nigeria, conducted from December 2025 to March 2026, found 92.6% awareness of AI in healthcare but 40.9% reporting low knowledge and only 63.0% feeling adequately prepared. Top barriers were lack of training (84.7%), poor infrastructure (71.1%), and high tool costs (61.0%). Willingness to adopt was strong, with 92.5% interested in training and 78.7% supporting AI in undergraduate curricula; preparedness differed significantly across geopolitical zones and professions.

arXiv cs.AI / cs.LG / cs.CL · 13h agoAI research

Personal Info Possibly Compromised at Japan’s Digital Agency

Japan's Digital Agency says unauthorized access to a network system may have compromised personal data of about 246,000 government employees.

Japan's Digital Agency reported that approximately 246,000 sets of personal information, including names and email addresses of government employees, may have been compromised through unauthorized access to a network system operated by the agency. The agency said no secondary damage, such as misuse of the potentially breached data, has been identified so far.

DataBreaches.net · 5d agoData breach

Insights into Suspected DPRK Workers

Huntress details incidents involving suspected DPRK remote workers (Famous Chollima) in partner environments and shares detection indicators.

Huntress analyzed several incidents involving suspected North Korean remote workers, associated with the activity cluster known as Famous Chollima. The report describes indicators defenders can use to detect and prevent DPRK worker infiltration in customer environments. The scheme centers on operatives obtaining remote jobs at Western companies under assumed identities.

Huntress · 22d agoThreat actor in the wild

TaichuAI/ZDTaichu5.0-9B — new model trending #30 on Hugging Face

TaichuAI released ZDTaichu5.0-9B, an open multimodal VLM built on Qwen3.5-9B targeting spatial reasoning, embodied AI, and agentic tool use.

TaichuAI released ZDTaichu5.0-9B, a multimodal vision-language model pairing a Qwen3.5-9B language decoder with a C-RADIOv4-H vision encoder, supporting text, single/multiple images, and video with any-resolution input and a 128K-token context. It introduces Entropy-Gated Adaptive Recurrent Reasoning, which allocates extra latent refinement steps to harder tokens. Reported benchmarks include 87.7 on TAU2-Bench, 71.4 on Claw-Eval, 93.7 on IFEval, 48 on ERQA, and 56 on RoboSpatial, leading compared 10B-scale open VLMs on agent and spatial tasks. The weights are available on Hugging Face, GitHub, and ModelScope, where it is trending at #30.

Hugging Face trending models · 13d agoModel release1

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

Caltech professor Anima Anandkumar discusses Neural Operators and FourCastNet for physics modeling, arguing inductive biases beat pure token scaling.

Anima Anandkumar, Bren Professor at Caltech and co-founder of Accelerated Understanding, describes Fourier Neural Operators that learn in frequency and spherical-harmonic domains to model weather, fusion, and fluid or heat flow. Her team built FourCastNet 3, a global weather model competitive with physics-based simulations that runs on consumer-grade GPUs. She also introduced TorchLean, a framework for writing PyTorch-style networks inside the Lean proof assistant for formal verification, and was appointed to the United Nations Scientific Advisory Board. She argues physical domains resist scaling due to tiny datasets and context lengths in the hundreds of billions, so progress comes from built-in structure and physical priors.

Latent Space · 21d agoAI research1

NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction

An 8.9B-parameter latent-space language model using next-concept prediction matches OLMo-3-7B pretraining loss with only 51.3% of the training tokens.

NCP-ArchPreview augments next-token prediction with Next Concept Prediction over a product-quantized concept vocabulary built from hidden states, trained jointly end-to-end. The 8.9B model was trained on 5.73T tokens from the Dolma-3 dataset, the largest latent-space language model demonstration to date. It consumes 51.3% of the tokens to reach OLMo-3-7B's final pretraining loss and outperforms it by 2.45 points on the downstream macro-average, including a 5.99-point GSM8K gain. The learned latent space also enables lightweight domain adaptation via a 17M-parameter VQ module and improves speculative drafting accepted length by 4.17%.

Hugging Face daily papers · 8d agoAI research1

Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama

Opinion piece urges migrating 35KB preprompts from Anthropic/OpenAI to self-hosted Ollama, citing session privacy risks and safety filters blocking security research.

The author documents gotchas migrating 35KB preprompts from Claude Opus to self-hosted Ollama, motivated by fears that frontier providers train on user sessions, citing the OpenAI Navier-Stokes controversy. The piece argues inference providers cannot audit their own retention or training pipelines and that only self-hosted hardware offers verifiable privacy. It also criticizes frontier safety filters for refusing vulnerability research tasks and calls for models that support exploitability testing in CI/CD pipelines.

Hacker News · AI · 2d agoAI industryHN 41↑ · 13 comments1

RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs

RelateAnything is a 53M-parameter open-vocabulary relation prediction model running at 20 ms/frame, with 2.3-3.5x higher mean recall than comparable open-vocabulary methods.

RelateAnything predicts scored relations between image regions using any predicate vocabulary supplied at inference as text embeddings, with object labels never required as input, so region sources can change without retraining. Training covers 19,103 predicates using positive-unlabeled supervision; the authors release RA-4M (474k images, 4.3M geometrically verified relations over 10,102 free-text predicates) and the OV-SGG-Bench evaluation suite. The 53M-parameter model runs at 20 ms/frame and achieves 2.3-3.5x the mean recall of the strongest comparable open-vocabulary method across cross-dataset and zero-shot benchmarks. Model, corpus, and benchmark are public.

Hugging Face daily papers · 6d agoAI research1

UCQ Leak, Israeli GlobalProtect Access, Digital Nirvana Dump, 32baar, and Ghorer Bazar

SOCRadar flags underground posts selling an alleged Universidad Cuauhtémoc database, Israeli GlobalProtect VPN access, and Digital Nirvana data dumps.

SOCRadar's Dark Web Team identified several new underground posts, including an alleged database leak from Universidad Cuauhtémoc (UCQ), a Mexican university. Additional listings include access to an Israeli organization's Palo Alto GlobalProtect VPN, a data dump attributed to Digital Nirvana, and marketplace posts tied to 32baar and Ghorer Bazar. The leaks are alleged and unverified at this stage.

SOCRadar · 2d agoData breach

XHToken/Spark-X2.5-4B-GGUF — new model trending #30 on Hugging Face

XHToken released GGUF weights of Spark-X2.5-4B, a compact model with 1M-token context and 200+ language support, under Apache 2.0.

The Hugging Face repository provides BF16 GGUF conversions of Spark-X2.5-4B, a compact general-purpose language model for conversation, writing, translation, reasoning, coding, tool use, and agentic workflows. The model uses a hybrid attention architecture, supports a native context length up to 1M tokens, and covers more than 200 languages. Local inference is supported through Ollama and LM Studio via an XHToken llama.cpp fork, with a --think=false flag to disable thinking mode for faster responses. Released under Apache License 2.0; it was trending #30 on Hugging Face at publication.

Hugging Face trending models · 19d agoModel release

IFM/K2-Horizon-MoVA-36B-A4B — new model trending #15 on Hugging Face

IFM released K2-Horizon-MoVA-36B-A4B, an open-weights 36B-parameter MoE model with 4B active parameters and native 512K context.

IFM released the final checkpoint of K2-Horizon-MoVA-36B-A4B, a sparse Mixture-of-Experts model using Mixture-of-Values (MoVA) attention with 36B total and 4B active parameters. The model supports native 524,288-token context and reportedly outscores open-weight dense and MoE models up to 15x its size on agentic and reasoning benchmarks, while competing against closed frontier models. Intermediate checkpoints, training data, the training recipe, and training code are slated for public release.

Hugging Face trending models · 15d agoModel release

IFM Releases K2 Horizon: Six Apache 2.0 Models From 0.9B to 375B

MBZUAI's IFM released K2 Horizon, six Apache 2.0 models (0.9B-375B) with open training data, code, and checkpoints, claiming the largest fully open-source launch.

The Institute of Foundation Models (IFM), launched by MBZUAI, released K2 Horizon: six Apache 2.0 models (0.9B, 3.7B, 7B, 32B, 36B-A4B, 375B-A23B) shipping with the ~20-trillion-token pretraining corpus, intermediate checkpoints, training code, and logs, which IFM calls the largest fully open-source launch in AI history. The 375B-A23B scores 70.2 on Terminal-Bench 2.1 and 87.3 on GPQA Diamond; the 7B model posts 70.6 on SWE-bench Verified. New techniques include MoVA, which extends MoE routing into attention (36B total, ~4B active), and Uno, a LoRA adapter giving roughly 3x lossless decoding speedup. IFM's own reward-hacking audit re-scored 375B-A23B from 70.2% to 66.9% after flagging 24 of 712 Terminal-Bench trials.

MarkTechPost · 10d agoModel release1

openbmb/MiniCPM5-2B-GGUF — new model trending #30 on Hugging Face

OpenBMB released MiniCPM5-2B, a dense 2B on-device model claiming open-source SOTA among 2B-class models.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, as a dense 2B Transformer built for on-device and resource-constrained deployment with GGUF weights on Hugging Face. The team claims 2B-class open-source state-of-the-art performance, remaining competitive with 4B-class models in coding, mathematics, long-context understanding, tool use and agentic tasks. The release includes a tech report, GitHub repository and online demo, and is currently trending on Hugging Face.

Hugging Face trending models · 12d agoModel release2

North Korean remote workers are broadening their job hunt beyond IT

Huntress links suspected North Korean remote workers to sales, marketing, and healthcare jobs using stolen identities, VPNs, proxies, and KVM hardware.

Huntress investigations identified suspected DPRK remote workers hired beyond IT in sales, marketing, and healthcare/financial organizations, sometimes actually performing the work they were hired for. Fraudulent documents included passports from the same city issued one day apart, ID cards with identical validity dates, and electricity bills built from the same online template with matching typos. A financial-services case found a PiKVM and Guermok USB capture card on a new hire's laptop within hours of delivery, suggesting a laptop farm, and another hire used a police mugshot with the photo digitally swapped. Researchers urge rigorous background checks and identity verification at the interview stage.

Help Net Security · 20d agoPhishing & fraud in the wild

Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models

New ROBORMBENCH benchmark shows vision-language reward models can flip robot success/failure judgments when goal instructions are paraphrased.

The authors show that paraphrasing the instruction alone can substantially change progress scores from VLM reward models, even flipping identical robot trajectories between failure and success. ROBORMBENCH comprises 2,390 real-robot trajectories with ground-truth progress labels and 21,673 verified paraphrases covering lexical, syntactic, and action-goal rewrites. Instability is widespread across proprietary and open-source VLMs, grows with more divergent rewrites, and is not reliably reduced by scale or explicit reasoning, while trajectory-grounded dedicated reward models are markedly more stable.

arXiv cs.AI / cs.LG / cs.CL · 12d agoAI research1

Cyberattack forces UT San Antonio to delay start of fall semester

UT San Antonio delayed fall semester start by three days after a weekend cyberattack was caught at the network edge before core systems.

The University of Texas at San Antonio, which serves more than 42,000 students, moved its fall semester start from August 19 to August 24 after a weekend cyberattack on its academic network. Officials said the intrusion attempt was caught at the edge of the network before reaching core systems and that no evidence of data theft has been found. The university took systems and services offline for review, causing phone system outages and password reset tool delays. The incident follows the Instructure Canvas breach during spring finals week that exposed data tied to millions of students and staff worldwide.

Help Net Security · 29d agoExploit / PoC

GLM-5.3: How Chinese labs keep stride with the frontier

Z.ai released GLM-5.3, a ~750B-parameter model with frontier agentic coding scores, with open weights on Hugging Face planned in two weeks.

Z.ai announced GLM-5.3, initially available only in its coding plan, with API access and open Hugging Face weights promised within two weeks. The roughly 750B-parameter model, one-third the size of Moonshot AI's Kimi K3, surpasses Kimi K3 on many benchmarks and beats Claude Fable 5 or GPT-5.6-Sol on some, placing it at the frontier of agentic coding benchmarks. GLM-5.3 reuses the GLM-5.2 base model with substantially extended post-training based on more RL environments, more diverse tasks and more compute. The post also analyzes how Chinese labs keep pace with the frontier, arguing release speed matters more than distillation.

Interconnects · Aug 14, 2026Model release