←Search results

By relevance · Total 2778 results Clear search

Thursday

  1. Unite.AI

    BBERT uses AI to identify hidden bacterial DNA in soil samples

    Researchers from the Hebrew University and other institutions have developed BBERT, which can identify bacterial sequences in DNA fragments as short as 100 bases, achieving about 90% accuracy in distinguishing bacterial from non-bacterial DNA in benchmark tests. The model is based on BERT and learns the context of nucleotide sequences, achieving about 88% accuracy in identifying protein-coding fragments and about 96% accuracy in determining reading frames. In simulated mixed samples, filtering with BBERT first reduced the average assembly time from about 66 hours to 25 hours while retaining about 96% average bacterial genome coverage.

    Researchers from the Hebrew University and other institutions have developed BBERT, which can identify bacterial sequences in DNA fragments as short as 100 bases, achieving about 90% accuracy in distinguishing bacterial from non-bacterial DNA in benchmark tests. The model is based on BERT and learns the context of nucleotide sequences, achieving about 88% accuracy in identifying protein-coding fragments and about 96% accuracy in determining reading frames. In simulated mixed samples, filtering w

    Matched fieldsBody

  2. English text is being prepared.

    In 2026, full-color AI glasses are launching in clusters; RayNeo preheats the full-color Micro-LED optical waveguide iO+

    In 2026, full-color AI glasses are making intensive appearances. RayNeo is preheating its fourth-generation binocular full-color AI glasses, the iO+, whose full-color light engine is smaller than 0.18cc, already approaching the level of monochrome Micro-LED optical engines. In the same period, Rokid released the full-color AI glasses Rokid Color, adopting a Micro-LED and diffractive optical waveguide solution, priced from 4,999 yuan. Since the X1 in 2021, RayNeo has continuously invested in full-color Micro-LED optical waveguides; in 2023, the X2 became the world's first consumer-grade mass-produced binocular full-color Micro-LED optical waveguide AR glasses.

    In 2026, full-color AI glasses are making intensive appearances. RayNeo is preheating its fourth-generation binocular full-color AI glasses, the iO+, whose full-color light engine is smaller than 0.18cc, already approaching the level of monochrome Micro-LED optical engines. In the same period, Rokid released the full-color AI glasses Rokid Color, adopting a Micro-LED and diffractive optical waveguide solution, priced from 4,999 yuan. Since the X1 in 2021, RayNeo has continuously invested in full

    Matched fieldsBody

  3. Semiconductor Industry Observer

    Siemens Fuse EDA AI Agent: Using Physical Verification to Backstop Agentic EDA

    Siemens has launched an intelligent engineering workflow in which the Fuse EDA AI Agent serves as an MCP aggregation layer connecting to Claude Code, autonomously orchestrating 3D-IC electrothermal co-design, linking seven Siemens EDA tools across nine stages, requiring 100–200 iterations and a total duration exceeding 12 hours. Every decision in this workflow is verified by a deterministic, physics-based EDA solver engine; a single round can cover more than 200 to 500 design points, tool configuration efficiency is improved by up to 20x, manual workload is reduced by as much as 95%, and the number of evaluable design options reaches up to 50x that of traditional manual workflows.

    Siemens has launched an intelligent engineering workflow in which the Fuse EDA AI Agent serves as an MCP aggregation layer connecting to Claude Code, autonomously orchestrating 3D-IC electrothermal co-design, linking seven Siemens EDA tools across nine stages, requiring 100–200 iterations and a total duration exceeding 12 hours. Every decision in this workflow is verified by a deterministic, physics-based EDA solver engine; a single round can cover more than 200 to 500 design points, tool config

    Matched fieldsBody

  4. Semiconductor Industry Observation

    Intel and Tencent Cloud Launch New-Generation Cloud Instances Based on Xeon 6+ to Accelerate Agentic AI Deployment

    At the 2026 Tencent Global Digital Ecosystem Summit, Intel and Tencent Cloud launched new-generation cloud instances based on Intel Xeon 6+ processors, delivering an overall performance improvement of more than 30% over the previous generation. Xeon 6+ offers up to 288 efficiency cores, and a single processor can support the stable deployment of more than 1,000 agents, while also introducing Intel TDX for hardware-level isolation. The two parties also leveraged IAA to bring 2M-page decompression latency down to the microsecond level, accelerating average time by 16x, and CubeSandbox can support 350 concurrent sandbox creation requests on a single machine.

    At the 2026 Tencent Global Digital Ecosystem Summit, Intel and Tencent Cloud launched new-generation cloud instances based on Intel Xeon 6+ processors, delivering an overall performance improvement of more than 30% over the previous generation. Xeon 6+ offers up to 288 efficiency cores, and a single processor can support the stable deployment of more than 1,000 agents, while also introducing Intel TDX for hardware-level isolation. The two parties also leveraged IAA to bring 2M-page decompression

    Matched fieldsBody

Friday

  1. Unite.AI

    Piq Energy report: Home batteries can alleviate grid interconnection constraints for data centers

    Piq Energy's "Unlocking Flexibility Without Curtailment" report shows that when modeling a proposed 100 MW load interconnection near Fort Worth, Texas, coordinated dispatch of batteries across 11 sites with a total output of about 81.5 MW resolved all 8 thermal constraints on 5 transmission facilities. After the load increased to 200 MW, returns diminished: an efficient combination required 296.3 MW to resolve 25 of 30 constraints, while a full-resolution combination required 1,245.5 MW to resolve all of them. Piq used its planning agent Delphi to organize deterministic power flow analysis, saying the project was completed in a few days, but the comparison is the company's self-assessment.

    Piq Energy's "Unlocking Flexibility Without Curtailment" report shows that when modeling a proposed 100 MW load interconnection near Fort Worth, Texas, coordinated dispatch of batteries across 11 sites with a total output of about 81.5 MW resolved all 8 thermal constraints on 5 transmission facilities. After the load increased to 200 MW, returns diminished: an efficient combination required 296.3 MW to resolve 25 of 30 constraints, while a full-resolution combination required 1,245.5 MW to resol

    Matched fieldsBody

  2. Unite.AI

    OpenAI expands its misalignment monitoring system to cover training, evaluation, and external deployment

    On October 29, 2026, OpenAI announced an expanded multi-layer misalignment behavior monitoring system covering training, evaluation, and internal use, and, after modifications, extended to external deployment. The system monitors every reinforcement learning run and evaluation for models at least as capable as GPT-6 Astra, with a four-layer architecture that escalates step by step from activation probes to safety and alignment investigation agents. In independent red team testing conducted by METR and Redwood Research from July 21 to August 11, two client-controllable request headers that could disable the new agent monitoring were found, along with a compression event gap from May to July 2026 in which approximately 10% of eligible internal Codex traffic was not monitored.

    On October 29, 2026, OpenAI announced an expanded multi-layer misalignment behavior monitoring system covering training, evaluation, and internal use, and, after modifications, extended to external deployment. The system monitors every reinforcement learning run and evaluation for models at least as capable as GPT-6 Astra, with a four-layer architecture that escalates step by step from activation probes to safety and alignment investigation agents. In independent red team testing conducted by ME

    Matched fieldsBody

  3. Unite.AI

    OpenAI restructures Model Spec around five core behavioral values

    On October 29, 2026, OpenAI released an updated version of the Model Spec, restructuring model behavior guidelines around five values: fidelity to human intent, harm minimization, honesty and transparency, human autonomy, and care, and adding guidance on context, oversight, and autonomy, while retiring most detailed style guidelines. The document sets different levels of authority for instructions, with root-level rules that cannot be overridden by conversational context, and adds root-level rules prohibiting the pursuit of additional goals, requiring models to remain correctable, and limiting autonomous work to clearly defined scopes. OpenAI stated that its models do not yet fully embody the spec, that it is exploring new training methods, and that it is soliciting public feedback through a dedicated feedback site.

    On October 29, 2026, OpenAI released an updated version of the Model Spec, restructuring model behavior guidelines around five values: fidelity to human intent, harm minimization, honesty and transparency, human autonomy, and care, and adding guidance on context, oversight, and autonomy, while retiring most detailed style guidelines. The document sets different levels of authority for instructions, with root-level rules that cannot be overridden by conversational context, and adds root-level rul

    Matched fieldsBody

  4. Unite.AI

    Eclypsium demonstrates how compromised hardware can tamper with AI models at inference time

    Eclypsium demonstrated, with NVIDIA's support, that an attacker using a compromised DPU and lax memory isolation can modify runtime model weights during inference, causing the model's answers to change while the model files on disk and hash verification still appear normal. The experiment was conducted in an NVIDIA Grace Hopper environment and depended on conditions such as IOMMU passthrough and lax PCIe isolation, which the researchers explicitly noted are not Linux default settings. The report brings DPUs, GPUs, management controllers and their firmware into the AI security boundary, and notes that model signing, secure boot, runtime isolation and continuous monitoring each answer different questions.

    Eclypsium demonstrated, with NVIDIA's support, that an attacker using a compromised DPU and lax memory isolation can modify runtime model weights during inference, causing the model's answers to change while the model files on disk and hash verification still appear normal. The experiment was conducted in an NVIDIA Grace Hopper environment and depended on conditions such as IOMMU passthrough and lax PCIe isolation, which the researchers explicitly noted are not Linux default settings. The report

    Matched fieldsBody

  5. Unite.AI

    Mintive Raises $7 Million to Provide Independent Identity and Permission Management for AI Agents

    Mintive has completed a new $7 million funding round led by Cowboy Ventures, bringing total funding to $11 million. The company says it currently handles 2.5 million agent calls per day, serves more than 50 paying enterprise customers, and has processed over 200 million cumulative calls in seven months. Its platform assigns each agent an independent identity, scoped permissions, and traceable operation records; underlying service credentials remain within the gateway, agents access tools through short-lived tokens, and administrators can revoke an individual agent's token separately.

    Mintive has completed a new $7 million funding round led by Cowboy Ventures, bringing total funding to $11 million. The company says it currently handles 2.5 million agent calls per day, serves more than 50 paying enterprise customers, and has processed over 200 million cumulative calls in seven months. Its platform assigns each agent an independent identity, scoped permissions, and traceable operation records; underlying service credentials remain within the gateway, agents access tools through

    Matched fieldsBody

  6. Unite.AI

    Gemini app now supports editing documents and PDFs within conversations

    Google announced that Gemini app users can now generate, preview, and edit files such as documents, PDFs, presentations, spreadsheets, and code directly within conversations, and this capability is available to all users in all regions where the app is available. Editing methods include direct full-screen input and modification, selecting text to ask Gemini questions, and having Gemini rewrite file content. PDF preview and editing are supported on both the web version and mobile, while other formats such as Google Docs, Sheets, Slides, Markdown, TXT, and code are supported only on the web version. This update adds an in-place editing layer on top of the file generation feature launched on April 29, 2026.

    Google announced that Gemini app users can now generate, preview, and edit files such as documents, PDFs, presentations, spreadsheets, and code directly within conversations, and this capability is available to all users in all regions where the app is available. Editing methods include direct full-screen input and modification, selecting text to ask Gemini questions, and having Gemini rewrite file content. PDF preview and editing are supported on both the web version and mobile, while other for

    Matched fieldsBody

  7. Unite.AI

    OpenAI-backed Thrive Holdings to acquire ADT in an all-cash deal valued at $15.3 billion

    ADT and Thrive Holdings announced on October 29, 2026 that they had reached a definitive agreement under which Thrive Holdings will acquire ADT in an all-cash transaction valuing ADT's equity at approximately $7.6 billion and its enterprise value at approximately $15.3 billion, with ADT shareholders receiving $10.00 in cash per share. The price represents a 45.6% premium over ADT's unaffected closing price of $6.87 on October 27, 2026. The transaction is expected to close in the first quarter of 2027, subject to approval by ADT shareholders and U.S. antitrust review. Upon completion, ADT will become a private company and be delisted from the NYSE, and will serve as the foundation of Thrive Holdings' smart home security business; OpenAI announced on December 1, 2025 that it had taken a stake in Thrive Holdings and deployed research, product and engineering teams into its portfolio companies.

    ADT and Thrive Holdings announced on October 29, 2026 that they had reached a definitive agreement under which Thrive Holdings will acquire ADT in an all-cash transaction valuing ADT's equity at approximately $7.6 billion and its enterprise value at approximately $15.3 billion, with ADT shareholders receiving $10.00 in cash per share. The price represents a 45.6% premium over ADT's unaffected closing price of $6.87 on October 27, 2026. The transaction is expected to close in the first quarter of

    Matched fieldsBody

  8. Unite.AI

    Coveo Acquires Y Combinator-Backed Product Data Startup Anglera

    On October 29, 2026, Coveo announced the acquisition of Anglera, a San Francisco-based startup backed by Y Combinator, folding the latter's AI agent-powered product data enrichment platform into the Coveo Commerce product line. The transaction amount was not disclosed. Anglera extracts product attributes from sources such as manufacturer specifications, PDFs, and images; each enriched value comes with citations and a confidence score, uncertain values are routed to human review, and it syncs bidirectionally with PIM, ERP, and e-commerce platforms. Citing a NielsenIQ estimate, Coveo said missing product attributes can reduce product discoverability by up to 30%; in a 30-day A/B test, roughly 300 SKU variants saw a 120% increase in organic landing page traffic and a 270% increase in AI-referred visits.

    On October 29, 2026, Coveo announced the acquisition of Anglera, a San Francisco-based startup backed by Y Combinator, folding the latter's AI agent-powered product data enrichment platform into the Coveo Commerce product line. The transaction amount was not disclosed. Anglera extracts product attributes from sources such as manufacturer specifications, PDFs, and images; each enriched value comes with citations and a confidence score, uncertain values are routed to human review, and it syncs bid

    Matched fieldsBody

  9. Unite.AISelected

    Epoch AI report: open-source model GLM 5.3 exploits Firefox patch gap to launch attacks

    Epoch AI published research on October 29, 2026, stating that GLM 5.3, an open-weight model released by Z.ai in August 2026, can exploit browser patch gaps to compromise six recent versions of Mozilla Firefox, at a marginal cost of about $1,000 per version. In the experiment, the model, without internet access and with only public information, autonomously completed vulnerability identification and a multi-stage exploit chain, with the fastest run taking 12 hours, and repeatedly rediscovered an undisclosed vulnerability; Epoch has notified Mozilla of the vulnerability, which the latter fixed in Firefox 159.0 released on October 27, 2026. Epoch said total API spending for the Firefox effort exceeded $100,000, while attacking Google Chrome with the same toolset cost about $100,000 and still did not succeed.

    Epoch AI published research on October 29, 2026, stating that GLM 5.3, an open-weight model released by Z.ai in August 2026, can exploit browser patch gaps to compromise six recent versions of Mozilla Firefox, at a marginal cost of about $1,000 per version. In the experiment, the model, without internet access and with only public information, autonomously completed vulnerability identification and a multi-stage exploit chain, with the fastest run taking 12 hours, and repeatedly rediscovered an

    Matched fieldsBody

  10. Unite.AISelected

    CrowdStrike says VAPOR PANDA attacked more than 200 organizations using the DeepSeek-driven ARTEX framework

    CrowdStrike's report states that the China-linked group VAPOR PANDA used an AI-driven intrusion framework called ARTEX, built primarily on the DeepSeek large language model with another commercial model as a secondary component, to target more than 200 organizations in at least 14 countries over 11 days starting October 17, 2026, and confirmed post-compromise activity at 9 of them. ARTEX consists of a main agent and planning and execution sub-agents that share a fact and goal graph; in a single intrusion the planning agent consumed about 1.4 billion input tokens, and operators issued commands in Chinese and intervened at key junctures. CrowdStrike also says the group deployed the BLOODALCHEMY backdoor at some targets, and predicts that China-linked adversaries will increasingly adopt such agent frameworks over the next 12 months.

    CrowdStrike's report states that the China-linked group VAPOR PANDA used an AI-driven intrusion framework called ARTEX, built primarily on the DeepSeek large language model with another commercial model as a secondary component, to target more than 200 organizations in at least 14 countries over 11 days starting October 17, 2026, and confirmed post-compromise activity at 9 of them. ARTEX consists of a main agent and planning and execution sub-agents that share a fact and goal graph; in a single

    Matched fieldsBody

  11. English text is being prepared.

    Dapeng P1 PRO MAX Eye-Tracking Edition Released: 120–200Hz Sampling Rate, Tracking Accuracy Within 1°

    Dapeng officially launched the enterprise-grade VR headset P1 PRO MAX Eye-Tracking Edition, adding eye tracking to its existing VR capabilities. It supports recording data such as the user's gaze position, with an eye-tracking sampling rate of 120–200Hz and tracking accuracy controlled within 1°. The device targets visual training, scientific research experiments, and gaze interaction development, and offers supporting software customization that can organize interaction tasks, data recording, and result display according to project requirements.

    Dapeng officially launched the enterprise-grade VR headset P1 PRO MAX Eye-Tracking Edition, adding eye tracking to its existing VR capabilities. It supports recording data such as the user's gaze position, with an eye-tracking sampling rate of 120–200Hz and tracking accuracy controlled within 1°. The device targets visual training, scientific research experiments, and gaze interaction development, and offers supporting software customization that can organize interaction tasks, data recording, a

    Matched fieldsBody

  12. The Elec

    LG CNS Q3 operating profit up 15%, financial IT revenue up 21%

    LG CNS reported Q3 revenue of 1.6643 trillion won and operating profit of 138.2 billion won, up 9.3% and 15.0% year-on-year respectively, with operating margin rising to 8.3%. Financial IT business revenue grew 21.3% to 408.2 billion won, while AI and cloud business revenue grew 9.3% to 961.5 billion won, accounting for 57.8% of total revenue. In September, the company decided to purchase equipment worth 381.4 billion won, including Nvidia's next-generation Vera Rubin GPUs, to build an AI factory.

    LG CNS reported Q3 revenue of 1.6643 trillion won and operating profit of 138.2 billion won, up 9.3% and 15.0% year-on-year respectively, with operating margin rising to 8.3%. Financial IT business revenue grew 21.3% to 408.2 billion won, while AI and cloud business revenue grew 9.3% to 961.5 billion won, accounting for 57.8% of total revenue. In September, the company decided to purchase equipment worth 381.4 billion won, including Nvidia's next-generation Vera Rubin GPUs, to build an AI factor

    Matched fieldsBody

  13. Intelligent Manufacturing Network

    Unitree Technology and Sequoia China Establish "ShanYu·Innovation Program" to Invest in Early-Stage Embodied Intelligence Projects

    Unitree Technology has partnered with Sequoia China to establish the "ShanYu·Innovation Program," focused on discovering and investing in early-stage startups in fields such as embodied intelligence, robotics applications, and key upstream and downstream technologies. The program combines Unitree's engineering capabilities with Sequoia's investment capabilities, implements an "engineer + investor" methodology, and places special emphasis on young teams. Wang Xingxing, founder and CEO of Unitree Technology, said that Sequoia has been one of Unitree's earliest and most important supporters since 2019.

    Unitree Technology has partnered with Sequoia China to establish the "ShanYu·Innovation Program," focused on discovering and investing in early-stage startups in fields such as embodied intelligence, robotics applications, and key upstream and downstream technologies. The program combines Unitree's engineering capabilities with Sequoia's investment capabilities, implements an "engineer + investor" methodology, and places special emphasis on young teams. Wang Xingxing, founder and CEO of Unitree

    Matched fieldsBody

  14. Semiconductor Industry Observer

    AI Power Supply in the Compute Race: How Low-Voltage GaN Supports 800V DC Architecture

    As AI processor power consumption rises from a few hundred watts to 2 kilowatts or even 3 kilowatts, low-voltage GaN is becoming a key technology for the final-stage conversion of AI power supplies. EPC CEO Alex Lidow said that GaN transistors rated at 40V and below have surpassed silicon MOSFETs in all performance metrics; Cyntec's 1kW, 48V-to-12V module can replace 8 silicon-based superjunction MOSFETs with just 4 GaN devices, and its switching frequency can exceed 1MHz. After AI data centers shift to 800V DC power distribution, low-voltage GaN will still need co-design with magnetic components, packaging, and thermal management to unlock its value.

    As AI processor power consumption rises from a few hundred watts to 2 kilowatts or even 3 kilowatts, low-voltage GaN is becoming a key technology for the final-stage conversion of AI power supplies. EPC CEO Alex Lidow said that GaN transistors rated at 40V and below have surpassed silicon MOSFETs in all performance metrics; Cyntec's 1kW, 48V-to-12V module can replace 8 silicon-based superjunction MOSFETs with just 4 GaN devices, and its switching frequency can exceed 1MHz. After AI data centers

    Matched fieldsBody

Wednesday

  1. The New Stack

    The AI agent was decommissioned long ago—so why is its access key still alive?

    OWASP ranks the failure to decommission non-human identities as the top risk in its 2025 Top 10, and AWS IAM user access keys do not expire automatically—forgotten keys remain valid until someone manually disables or deletes them. The article presents a three-step governance plan: use CloudQuery queries to find keys that have been unused for more than 90 days and are still active, use OPA policies to block the creation of long-term credentials during the Terraform/OpenTofu plan phase, and set a finite lifecycle for each key.

    OWASP ranks the failure to decommission non-human identities as the top risk in its 2025 Top 10, and AWS IAM user access keys do not expire automatically—forgotten keys remain valid until someone manually disables or deletes them. The article presents a three-step governance plan: use CloudQuery queries to find keys that have been unused for more than 90 days and are still active, use OPA policies to block the creation of long-term credentials during the Terraform/OpenTofu plan phase, and set a

    Matched fieldsBody

  2. The New Stack

    Nvidia Releases Nemotron 3.5 Transcribe Promptable Transcription Model

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time streaming. Users can provide instructions such as context and terminology before transcription; the model can be deployed with vLLM or run locally on a single GPU via NeMo-Speech.cpp; Nvidia has also released the data curation pipeline Granary v2 and a public manifest of approximately 463,062 hours across 48 languages.

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time st

    Matched fieldsBody