Later this year, Alibaba Cloud plans to bring agentic AI services to Malaysia, enabling intelligent workflows and innovation at scale for businesses.
Read more: https://t.co/XEDAJoAeTH
Alibaba Cloud launches a new public cloud region in Malaysia💡
We are introducing two advanced data centers in Johor, designed to meet the surging demand for scalable cloud and AI solutions.
These facilities provide a full suite of services, including compute, storage, networking, cloud-native, and big data capabilities, tailored for modern enterprise needs.
One prompt. Infinite possibilities.
Meet Qwen3.7‑Max, the flagship model redefining agentic workloads that excels in frontend coding, generating rich, interactive web experiences from a single prompt, from Three.js 3D scenes to dynamic SVG graphics.
🎥 Watch the video to see how Qwen3.7-Max transforms productivity.
⚽Step inside the ultimate football stadiums created by @Alibaba_Wan !
Whether it's a legendary storybook unfolding on the pitch or a hidden oceanic arena, each scene delivers professional‑grade detail and lifelike charm.
Featuring sharper prompt interpretation, Wan brings your imagination to life with even greater precision and clarity.
Powered by Alibaba’s full‑stack AI and Cloud capabilities, from infrastructure to models to applications, this seamless integration delivers millisecond‑level responsiveness on the road.
See the future of the intelligent cockpit:https://t.co/AHvt7WjVto
#AlibabaAI#Qwen
Moving far beyond basic voice control, the modern cockpit is becoming an intuitive, anticipatory companion on every journey. 🚗
Together with BMW Group China, we’ve introduced the new BMW Intelligent Personal Assistant, powered by Qwen, designed to support every aspect of the driving experience.
Dr. Feifei Li, CTO and President of International Business at Alibaba Cloud, shares insights at the Qwen Conference on how a workforce of intelligent agents is revolutionizing the future of work.
Agents are always-on, highly intelligent, and action-capable, making productivity limitless and available 24/7. Get ready for a new era where technology works tirelessly at your fingertips.
#AlibabaAI
Empowering every voice, even the unspoken ones.🎨
See how Qwen and Wan transform silent sketches from non‑verbal children into living animations, making dreams visible and heard.
#AlibabaAI
Blooming Silent Dreams: Safeguarding Everyday Wonders with AI.
Happy Children’s Day! 🎉 As the 1st AI-native project for children with disabilities, Qwen & Wan turn silent sketches from non-verbal kids into animations, ensuring voiceless dreams are heard.
Watch👇
Meet Qwen3.7-Plus🚀, a cutting-edge multimodal agent model that seamlessly integrates vision and language into a unified, versatile foundation.
It delivers advanced vision-language capabilities while maintaining exceptional performance in coding, tool use, and productivity workflows.
Explore its capabilities as a multimodal interactive hybrid agent!
#AlibabaAI #Qwen
👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation.
✅ Multimodal interactive hybrid agent: unified GUI & CLI operation across visual and text tasks
✅ Versatile coding agent & productivity assistant with full-modality input
✅ Visual Agent: perception, reasoning, grounding, and search-augmented QA
✅ Cross-harness generalization across diverse agent frameworks
One model. Sees, thinks, codes, acts.🙌🙌
Now available via API on Alibaba Cloud Model Studio. Try it — let us know what you build.😎
🔗🔗⬇️⬇️
Blog:https://t.co/pVYf0h3NNa
Qwen Studio:https://t.co/HUYgFW4cYf
API:https://t.co/viL0cXrMzW
How can translation become more accurate in real‑world situations?💡
With Qwen3.5‑LiveTranslate‑Flash, the latest interpretation model in the Qwen family, you can navigate complex, real‑world scenarios effortlessly.
By learning to see your environment rather than just listening to audio, it eliminates translation ambiguity.
Alibaba will become the official and exclusive partner for AI, Cloud Computing Services, and E-commerce of the UEFA Champions League, UEFA Europa League and UEFA Conference League from 2027/2028 to 2032/2033 and of UEFA EURO 2028™.
“I am excited to work with UEFA to realize the vision of this multi-year partnership, where we will commit our cloud computing, full-stack AI, and global e-commerce capabilities to support UEFA and UC3 to deliver these iconic competitions to global fans.” said Joe Tsai, Chairman of Alibaba Group.
Through the deployment of advanced AI capabilities in supporting fan engagement and media and content via our Qwen LLM, together with Alibaba’s cloud computing infrastructure and global ecommerce platform, the partnership will power an immersive fan and content experience worldwide across UEFA’s flagship men's competitions.
Artificial Analysis and IBM Research are launching ITBench-AA, the first in a new series of benchmarks evaluating models on agentic enterprise IT tasks, starting with Site Reliability Engineering tasks where frontier models score below 50%
ITBench-AA’s SRE tasks benchmark model performance on Kubernetes incident response, where models must diagnose live systems by reading logs, tracing dependencies, and identifying root-cause entities across complex infrastructure. The underlying ITBench dataset has been developed by @IBM's Software Innovation Lab, leveraging IBM’s deep expertise in enterprise IT operations
Artificial Analysis has worked closely with IBM over the last 6 months to develop a implementation of the dataset for frontier AI evaluation, beginning with Site Reliability Engineering (SRE) and expanding to Financial Operations (FinOps) and Chief Information Security Officer (CISO) tasks over time
ITBench-AA SRE overview:
➤ 59 SRE tasks in total: 40 public tasks and 19 brand new, held-out tasks
➤ Each task provides a Kubernetes incident snapshot containing alerts, events, traces, metrics, logs, and application topology. The model must identify the minimal set of independent root-cause Kubernetes entities responsible for the incident
➤ Faults span typical SRE failure modes including infrastructure, service, application, and chaos-injected incidents, such as resource quota exhaustion, rollout failures, connection pool exhaustion, and network partitions
Methodology details:
➤ Agentic harness: each task is solved by the model running in our open-source Stirrup reference harness, with shell access to a sandboxed file system containing the relevant logs and snapshots. 100-turn cap per task, 3 repeats per task
➤ Models submit a list of root-cause entities (Kubernetes Deployments, Services, Pods, etc.) they believe caused the incident. Each submission is compared against a ground-truth set of root causes provided by IBM Research
➤ Scoring uses average precision at full recall: if a model misses any of the ground-truth root causes, it scores 0.0 for that repeat. If it identifies all of them, it is awarded a score equal to its precision - the share of its submitted entities that are actual root causes, i.e. true positives / (true positives + false positives). The headline score is the average across 59 tasks × 3 repeats.
➤ The harness (Stirrup) is held constant across all evaluated models, allowing an apples-to-apples comparison between models.
Key findings:
➤ Claude Opus 4.7 (Adaptive Reasoning, Max Effort) leads at 47%, followed by GPT-5.5 (xhigh) at 46% and Qwen3.7 Max at 42%
➤ All frontier models score below 50%, making ITBench-AA SRE one of the least saturated agentic benchmarks in our suite. For context, frontier models score considerably higher on Terminal-Bench
➤ Turn counts vary nearly 3x and longer trajectories do not translate to higher accuracy. GPT-5.5 (xhigh) averages 31 turns per task at 46%, while Gemini 3.1 Pro Preview averages 83 turns at 30%. Models that over-investigate tend to surface upstream fault-injection mechanisms or co-occurring symptoms as false positives
➤ GLM-5.1 (Reasoning) leads open weights models at 40%, effectively tied with Gemini 3.5 Flash (high). DeepSeek V4 Pro (Reasoning, Max Effort) follows at 38%, with Gemma 4 31B (Reasoning) at 37%, ahead of Gemini 3.1 Pro Preview at 30%
⏰ 48 HOURS LEFT.
Dive Into Your World closes May 30.
Your last chance to:
- Create something extraordinary with AI
- Win tickets to the World Swimming Championships
- Get invited to MuleRun's Global User Conference
@WorldAquatics@alibaba_cloud@mulerun_ai
At the heart of these announcements is Qwen3.7-Max, Alibaba Cloud’s latest large language model. Other highlights include the new Skills Portal, which converts cloud capabilities into Skill-based formats for seamless AI agent integration, and Qwen Cloud, an AI-native platform designed to simplify AI model access and deployment.
Explore how these innovations are shaping the future of AI here: https://t.co/ns8xNcpYBk
#AlibabaAI
At the first international Qwen Conference in Singapore, Alibaba Cloud introduced significant updates in foundation models, AI infrastructure, cloud-native tools, and enterprise agent products, now available globally.
These advancements highlight Alibaba Cloud's dedication to driving AI innovation and empowering businesses worldwide as we step into the agentic era. 🚀
Qwen3.7 Max (20250517) debuts at #4 in Code Arena: Frontend - the top-ranked Chinese lab on the board, surpassing GLM-5.1 and is now on par with Claude Opus 4.6 on agentic web development tasks.
Huge congrats to @Alibaba_Qwen on this achievement!
Designed to enhance early detection, when timely intervention can dramatically improve outcomes.
Explore the full breakdown of this advanced AI model: https://t.co/mUmB84tM94
#AlibabaAI
DAMO Academy has unveiled COCA, an AI model that detects colorectal cancer with high accuracy using standard CT scans.
Part of a broader effort to build AI‑powered screening systems across multiple cancers, COCA leverages medical imaging that hospitals already collect.🩺