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Wednesday

  1. Phoenix Technology

    MoleculeMind MMDesign Technical Report: 18 of 19 Projects Successful, All 6 GPCR Targets Hit

    MoleculeMind has released a technical report on its AI protein de novo design platform MMDesign, covering 19 projects across 18 targets and two modalities—nanobodies and macrocyclic peptides—with 18 yielding experimentally confirmed binders, a project success rate of 94.7%; of 453 tested candidates, 139 were hits, a candidate hit rate of 30.7%. All six GPCR targets succeeded, with best affinities reaching the nanomolar level: GPR68 achieved a best KD as low as 12.1 nM, and all 30 candidates for NK3R were confirmed to bind. The report also shows that when redesigning against 6 targets that already had binders, 5 achieved improvements, and it presents results for the structure prediction model MMFold on the FoldBench antibody–antigen interface benchmark.

    MoleculeMind has released a technical report on its AI protein de novo design platform MMDesign, covering 19 projects across 18 targets and two modalities—nanobodies and macrocyclic peptides—with 18 yielding experimentally confirmed binders, a project success rate of 94.7%; of 453 tested candidates, 139 were hits, a candidate hit rate of 30.7%. All six GPCR targets succeeded, with best affinities reaching the nanomolar level: GPR68 achieved a best KD as low as 12.1 nM, and all 30 candidates for

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  2. QbitAI

    LimX Dynamics Releases FluxVLA Engine V2 Technical Report, Adding Online Reinforcement Learning and Real-Robot Deployment Validation

    LimX Dynamics has updated the second version of the technical report for its open-source engineering foundation FluxVLA Engine. Compared with the first version in September, it adds post-training experiments with online reinforcement learning and expands the coverage of simulation evaluation and real-robot deployment. The report shows that 14 policies were integrated into the same LIBERO closed-loop evaluation, and the inference frequency of 8 model-device combinations increased to 2.31–9.64 times; after online reinforcement learning, SmolVLA's success rates on LIBERO-10 and the ten tasks of RoboTwin Clean increased by 10.0 and 15.4 percentage points, respectively. The deployment pipeline has been validated on platforms including ALOHA, dual-arm Franka, Rebot, and LimX Oli.

    LimX Dynamics has updated the second version of the technical report for its open-source engineering foundation FluxVLA Engine. Compared with the first version in September, it adds post-training experiments with online reinforcement learning and expands the coverage of simulation evaluation and real-robot deployment. The report shows that 14 policies were integrated into the same LIBERO closed-loop evaluation, and the inference frequency of 8 model-device combinations increased to 2.31–9.64 tim

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  3. QbitAI

    LimX Dynamics updates the FluxVLA Engine V2 technical report, adding online reinforcement learning and real-robot deployment evaluations

    LimX Dynamics has updated the second version of the technical report for its open-source embodied engineering foundation FluxVLA Engine. Compared with the first version in September, it newly adds post-training experiments with online reinforcement learning and expands the coverage of simulation evaluations and real-robot deployment. The report shows that after online reinforcement learning, SmolVLA's success rates on the ten tasks of LIBERO-10 and RoboTwin Clean increased by 10.0 and 15.4 percentage points, respectively; the inference frequency of 8 model-and-device combinations increased to 2.31–9.64 times. On the real-robot side, the deployment pipeline from model checkpoint to closed-loop execution was validated on ALOHA, the dual-arm Franka, Rebot, and the self-developed humanoid robot LimX Oli.

    LimX Dynamics has updated the second version of the technical report for its open-source embodied engineering foundation FluxVLA Engine. Compared with the first version in September, it newly adds post-training experiments with online reinforcement learning and expands the coverage of simulation evaluations and real-robot deployment. The report shows that after online reinforcement learning, SmolVLA's success rates on the ten tasks of LIBERO-10 and RoboTwin Clean increased by 10.0 and 15.4 perce

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  4. NVIDIA Blog

    NVIDIA RTX Spark Laptop Update: Adds Nemotron 3.5 Transcribe and Local Agent Tools

    NVIDIA announced multiple updates for RTX Spark thin-and-light laptops, including the open-weight voice model Nemotron 3.5 Transcribe, support for Liquid AI's LFM3 model family, and a control in the NVIDIA App that can allocate GPU resources between foreground applications and background agents. Nemotron 3.5 Transcribe supports transcription, speaker labeling, and translation in 40 languages, has approximately 4.3 billion active parameters, and is now available on Hugging Face. RTX Spark laptops are now shipping from ASUS, Dell, HP, Lenovo, Microsoft, and MSI, with a starting price of $2,599.

    NVIDIA announced multiple updates for RTX Spark thin-and-light laptops, including the open-weight voice model Nemotron 3.5 Transcribe, support for Liquid AI's LFM3 model family, and a control in the NVIDIA App that can allocate GPU resources between foreground applications and background agents. Nemotron 3.5 Transcribe supports transcription, speaker labeling, and translation in 40 languages, has approximately 4.3 billion active parameters, and is now available on Hugging Face. RTX Spark laptops

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  5. ElevenLabs Blog

    ElevenLabs Releases Forced Alignment Model Cue, Supporting Character-Level Audio Timestamps

    ElevenLabs has released the forced alignment model Cue, which can pinpoint the exact time point for each character in audio and has already been used in the Scribe speech-to-text model family. Cue covers more than 90 benchmark languages, processes recordings of any length in a single pass, and takes about half a second to align 1 hour of audio on production GPUs; on benchmarks across 29 languages, its accuracy is higher than all alignment tools tested by ElevenLabs. The model is also available separately through the Forced Alignment API.

    Cue vs. other aligners across accuracy, latency, language, song, and speed benchmarks.

    ElevenLabs has released the forced alignment model Cue, which can pinpoint the exact time point for each character in audio and has already been used in the Scribe speech-to-text model family. Cue covers more than 90 benchmark languages, processes recordings of any length in a single pass, and takes about half a second to align 1 hour of audio on production GPUs; on benchmarks across 29 languages, its accuracy is higher than all alignment tools tested by ElevenLabs. The model is also available s

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  6. Smart City Industry Analysis

    Hebei Province issues work measures to support OPC empowerment of industrial clusters for high-quality development; by 2028, OPCs providing overseas services will reach more than 100

    The Hebei Provincial Department of Industry and Information Technology has issued the "Work Measures of Hebei Province to Support OPC Empowerment of Industrial Clusters for High-Quality Development," proposing eight measures, including OPC + industrial cluster going global and OPC + intelligent transformation, digital transformation and network connectivity, to cultivate OPC service entities. By 2028, the province will have more than 100 OPCs participating in overseas services for industrial clusters, more than 50 OPCs serving the digital and intelligent transformation of clusters, and will carry out OPC + industrial cluster going-global model innovation in 10 counties (cities, districts).

    The Hebei Provincial Department of Industry and Information Technology has issued the "Work Measures of Hebei Province to Support OPC Empowerment of Industrial Clusters for High-Quality Development," proposing eight measures, including OPC + industrial cluster going global and OPC + intelligent transformation, digital transformation and network connectivity, to cultivate OPC service entities. By 2028, the province will have more than 100 OPCs participating in overseas services for industrial clu

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  7. Leiphone

    Tianjin University's Zhang Changqing introduces generalized multimodal fusion at CNCC 2026: from trustworthy evidence fusion to the Fusion Anything foundation model

    At CNCC 2026, Tianjin University's Zhang Changqing presented the report "Generalized Multimodal Fusion Technology," introducing the team's research on multimodal representation, dynamic trustworthy fusion, and the general-purpose prediction foundation model Fusion Anything Model (FAM). The TMC method uses evidence theory to estimate uncertainty, raising crystal structure recognition accuracy from about 58%–59% to around 93.9%. FAM was tested on 18 real-world datasets, 12 modalities, and 11 types of prediction tasks, achieving an average accuracy about 6.9 percentage points higher than specialized fusion baselines.

    At CNCC 2026, Tianjin University's Zhang Changqing presented the report "Generalized Multimodal Fusion Technology," introducing the team's research on multimodal representation, dynamic trustworthy fusion, and the general-purpose prediction foundation model Fusion Anything Model (FAM). The TMC method uses evidence theory to estimate uncertainty, raising crystal structure recognition accuracy from about 58%–59% to around 93.9%. FAM was tested on 18 real-world datasets, 12 modalities, and 11 types

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Friday

  1. Phoenix Technology

    01.AI Secures Hundreds of Millions in Funding, Headquarters to Land in Hangzhou's Linping District

    01.AI has reached a cooperation agreement with Hangzhou City and Linping District, with state-owned capital from the city and district levels jointly investing hundreds of millions of yuan. The headquarters will be located in Linping District, Hangzhou, where an industrial AI transformation base will be built. 01.AI has shifted from large model R&D to enterprise industrial AI implementation, with a product system covering foundation models, enterprise Ontology, and multi-agent applications, and has launched agents such as Boss AI, Top Sales AI, and Investment Officer AI. Hangzhou will provide local industrial scenario resources, and the two sides plan to implement AI projects in scenarios including business management, production operations, and supply chain collaboration.

    01.AI has reached a cooperation agreement with Hangzhou City and Linping District, with state-owned capital from the city and district levels jointly investing hundreds of millions of yuan. The headquarters will be located in Linping District, Hangzhou, where an industrial AI transformation base will be built. 01.AI has shifted from large model R&D to enterprise industrial AI implementation, with a product system covering foundation models, enterprise Ontology, and multi-agent applications, and

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  2. Phoenix Tech

    Starbucks considers bringing AI to drive-thru, testing back-end model to assist with order entry

    Starbucks CEO Brian Niccol said the company plans to test an AI model running in the background to help baristas enter orders more accurately and efficiently while communicating with customers, with the goal of letting employees focus on conversation and speeding up service. Starbucks is also studying an identification technology that would recognize customers who opt into the service when they arrive at the store, then display a personalized digital menu and simplify the payment process. Niccol said the work is still at an early stage, and the company will test first, learn from the results, and then roll out viable solutions.

    Starbucks CEO Brian Niccol said the company plans to test an AI model running in the background to help baristas enter orders more accurately and efficiently while communicating with customers, with the goal of letting employees focus on conversation and speeding up service. Starbucks is also studying an identification technology that would recognize customers who opt into the service when they arrive at the store, then display a personalized digital menu and simplify the payment process. Niccol

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  3. Phoenix Technology

    SanDisk says AI inference is driving up NAND demand, with long-term orders booked through 2030

    On its fiscal 2027 first-quarter earnings call, SanDisk said AI inference is reshaping the NAND flash supply and demand landscape, that customers have underestimated the NAND capacity needed to run AI infrastructure, and that its new business model order pipeline extends to 2030 and even further out. About 50% of bit shipments in fiscal 2027 have already been locked in under NBM agreements, and that is expected to rise to about two-thirds in fiscal 2028. SanDisk also announced that the first high-bandwidth flash (HBF) memory die has completed tape-out and entered the manufacturing stage, offering read bandwidth approaching HBM with NAND-class capacity for AI inference, with first samples planned for delivery in the next calendar year.

    On its fiscal 2027 first-quarter earnings call, SanDisk said AI inference is reshaping the NAND flash supply and demand landscape, that customers have underestimated the NAND capacity needed to run AI infrastructure, and that its new business model order pipeline extends to 2030 and even further out. About 50% of bit shipments in fiscal 2027 have already been locked in under NBM agreements, and that is expected to rise to about two-thirds in fiscal 2028. SanDisk also announced that the first hig

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  4. Phoenix Technology

    Ask AI First, Then See a Doctor: Patients Believe It, Doctors Worry

    A survey by China Youth Daily shows that 92.0% of respondents have used AI to look up their medical conditions, and 69.7% would bring AI diagnostic and treatment suggestions to communicate with doctors. An experiment at Oxford University involving nearly 1,300 people found that when the same case was entered by a doctor, the AI recognition rate reached 94.9%, but when ordinary people described symptoms themselves, it dropped to less than 34.5%. The article also mentions AI's sycophantic tendency, as well as product developments such as Qwen integrating medical resources including drug instructions, and Tencent's AI clinical assistant connecting to hospital information systems.

    A survey by China Youth Daily shows that 92.0% of respondents have used AI to look up their medical conditions, and 69.7% would bring AI diagnostic and treatment suggestions to communicate with doctors. An experiment at Oxford University involving nearly 1,300 people found that when the same case was entered by a doctor, the AI recognition rate reached 94.9%, but when ordinary people described symptoms themselves, it dropped to less than 34.5%. The article also mentions AI's sycophantic tendency

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  5. Phoenix Technology

    Anthropic Upgrades Claude Mobile App: iPhone Voice Mode Now Supports Apple CarPlay

    Anthropic has upgraded the Claude mobile app. The iPhone version's voice mode now supports Apple CarPlay, allowing users to ask Claude questions directly while driving. This update also lets the iOS and Android versions support simultaneous login to multiple accounts with direct switching. Claude has added 24 new languages, bringing total support to 33 languages, and voice mode now responds faster and recognizes speech more accurately in noisy environments.

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  6. Phoenix Technology

    US tech giants' $750 billion AI investment faces challenges as core business growth slows

    According to Bloomberg, the advertising, consumer and retail businesses that underpin US tech giants' combined $750 billion in AI investment this year have shown signs of slowing growth. Alphabet's search advertising revenue posted its lowest growth rate in five quarters, Amazon's advertising business grew 11% year over year, the slowest since it began disclosing the figure separately in 2022, and its online stores grew only 2%. Google Chief Business Officer Philipp Schindler acknowledged that search queries under AI modes are monetized at a lower level, and Alphabet's stock suffered its largest drop in history, with nearly $500 billion in market value wiped out.

    According to Bloomberg, the advertising, consumer and retail businesses that underpin US tech giants' combined $750 billion in AI investment this year have shown signs of slowing growth. Alphabet's search advertising revenue posted its lowest growth rate in five quarters, Amazon's advertising business grew 11% year over year, the slowest since it began disclosing the figure separately in 2022, and its online stores grew only 2%. Google Chief Business Officer Philipp Schindler acknowledged that s

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  7. Phoenix Technology

    Baidu's AI Revenue Surpasses Advertising for the First Time, but Profit Halved: How Much Longer Can Baidu Hold On?

    In Q2 2026, Baidu's total revenue was 31.3 billion yuan, down 4% year-over-year, and net profit attributable to shareholders was 2.319 billion yuan, down 68.33% year-over-year; on the night of the earnings report, its US shares fell 12.73%. In the previous quarter, AI-related revenue accounted for more than 50% of total revenue for the first time, surpassing advertising. The article argues that Baidu is trading high-margin advertising revenue for low-margin AI cloud revenue, and that the real challenge is the identity transformation from selling ad slots to selling computing power or agent-based services.

    In Q2 2026, Baidu's total revenue was 31.3 billion yuan, down 4% year-over-year, and net profit attributable to shareholders was 2.319 billion yuan, down 68.33% year-over-year; on the night of the earnings report, its US shares fell 12.73%. In the previous quarter, AI-related revenue accounted for more than 50% of total revenue for the first time, surpassing advertising. The article argues that Baidu is trading high-margin advertising revenue for low-margin AI cloud revenue, and that the real ch

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  8. MarkTechPost

    Baseten Releases 2B Decision Model joey-1, Priced at $0.01 per Million Tokens

    Baseten's Base Labs has released a 2B decision model, joey-1, post-trained on Qwen3.5-2B, which directly returns labels and calibrated probabilities instead of generating text, targeting high-concurrency routing, classification, and guardrail checks. The model scores 63.30 on the public Jev Decision Index 0.4 set, the highest among models under 4B, but 8.94 points lower than the 9B elephant-1. Model APIs are priced at $0.01 per million input tokens, with a P50 latency of 20 ms for an average 2000-token request; the weights are open-sourced under the MIT license on Hugging Face and can be self-hosted on a single CUDA GPU.

    Baseten's Base Labs has released a 2B decision model, joey-1, post-trained on Qwen3.5-2B, which directly returns labels and calibrated probabilities instead of generating text, targeting high-concurrency routing, classification, and guardrail checks. The model scores 63.30 on the public Jev Decision Index 0.4 set, the highest among models under 4B, but 8.94 points lower than the 9B elephant-1. Model APIs are priced at $0.01 per million input tokens, with a P50 latency of 20 ms for an average 200

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Thursday

  1. Google BlogSelected

    Gemini app now supports generating, previewing, and editing documents directly

    The Gemini app now adds the ability to generate, preview, and edit files within a conversation; you can type edits directly in full screen, select text to ask questions, or have Gemini rewrite the file. PDF preview and editing are supported on both web and mobile, while other formats such as Google Docs, Google Sheets, Slides, Markdown, TXT, and code are supported only on web. This feature is available to all users in all languages covered by the Gemini app.

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  2. QbitAI

    Diffusion Intelligence releases Clover-35B-A3B-Preview, a 35-billion-parameter diffusion language model

    Diffusion Intelligence releases the diffusion language model Clover-35B-A3B-Preview, which uses a MoE architecture with 35 billion total parameters and about 3 billion activated per token, and supports a thinking mode. On the 49 tasks of the web Agent benchmark WindTunnel, its median execution time was 1.52 seconds, lower than the 3.21 seconds of the Jev + Mercury 2.5 combination, with success rates of 98.6% and 95.9% respectively. On code benchmarks, it scored 73.6 on SWE-bench Verified and 51.7 on Terminal-Bench 2.1, and the team said it will subsequently launch a multimodal version and advance on-device adaptation.

    Diffusion Intelligence releases the diffusion language model Clover-35B-A3B-Preview, which uses a MoE architecture with 35 billion total parameters and about 3 billion activated per token, and supports a thinking mode. On the 49 tasks of the web Agent benchmark WindTunnel, its median execution time was 1.52 seconds, lower than the 3.21 seconds of the Jev + Mercury 2.5 combination, with success rates of 98.6% and 95.9% respectively. On code benchmarks, it scored 73.6 on SWE-bench Verified and 51.

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  3. TechCrunch AI

    Deepgram Acquires Pipecat Developer Daily and Launches Real-Time Context Standard RCS

    Deepgram announced the acquisition of Daily, the developer of the open-source voice AI framework Pipecat, for an undisclosed sum, with both parties committing that Pipecat will remain open source. Daily had previously raised more than $62 million in cumulative funding, and Deepgram became a unicorn earlier this year with a $130 million Series C round. Deepgram also released the Real-Time Context Standard (RCS), an open protocol developed jointly with the Pipecat team to define metadata such as audio context, model instructions, and response tone in voice agents.

    Deepgram announced the acquisition of Daily, the developer of the open-source voice AI framework Pipecat, for an undisclosed sum, with both parties committing that Pipecat will remain open source. Daily had previously raised more than $62 million in cumulative funding, and Deepgram became a unicorn earlier this year with a $130 million Series C round. Deepgram also released the Real-Time Context Standard (RCS), an open protocol developed jointly with the Pipecat team to define metadata such as a

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  4. ElevenLabs Blog

    ElevenLabs Releases Sound Effects Model SFX v3, Now Live on ElevenCreative and ElevenAPI

    ElevenLabs has released its next-generation sound effects model SFX v3, now live on ElevenCreative and ElevenAPI. According to the company, in benchmark tests it handles prompts describing multiple sounds more reliably than SFX v2, generates music and voices more convincingly, and produces less noise in sound effects such as gongs, bells, and whistles. Users can generate sound effects via text prompts in Flows, the Sound Effects tab, Studio, and Music Editor, and developers can access it through ElevenAPI.

    Portrait of a young woman with long dark hair wearing a light blue top.

    ElevenLabs has released its next-generation sound effects model SFX v3, now live on ElevenCreative and ElevenAPI. According to the company, in benchmark tests it handles prompts describing multiple sounds more reliably than SFX v2, generates music and voices more convincingly, and produces less noise in sound effects such as gongs, bells, and whistles. Users can generate sound effects via text prompts in Flows, the Sound Effects tab, Studio, and Music Editor, and developers can access it through

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  5. Leiphone

    Douyin Mall Double 11 Opening: How 7 Major Brands Including Pechoin, Pampers, and Bobdog Broke Through with Good Products and Good Strategies

    During the opening phase of the Douyin Mall Double 11 Good Products Festival, Pechoin's first-day paid GMV increased by 249% year-on-year, and Pampers' brand-day paid GMV quadrupled year-on-year, setting a new Douyin record for single-brand single-day paid sales in diapers. Bobdog used an AI material assembly line to produce over a thousand pieces of content, with first-day GMV growing 2x year-on-year and new customer scale doubling; Miaofansi's paid GMV increased 10x year-on-year. Brands generally drove growth through refined product portfolios, scenario-based livestreaming, and intelligent tools for efficiency gains.

    During the opening phase of the Douyin Mall Double 11 Good Products Festival, Pechoin's first-day paid GMV increased by 249% year-on-year, and Pampers' brand-day paid GMV quadrupled year-on-year, setting a new Douyin record for single-brand single-day paid sales in diapers. Bobdog used an AI material assembly line to produce over a thousand pieces of content, with first-day GMV growing 2x year-on-year and new customer scale doubling; Miaofansi's paid GMV increased 10x year-on-year. Brands genera

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