๐ ๐พ๐๐๐โ๐ ๐๐๐๐ ๐๐๐ ๐๐๐ ๐ด๐จ๐ต๐ถ๐ณ๐ถ ๐๐๐๐๐๐๐๐๐?
In our 7th Press Release, we highlight the key milestones achieved so far and the strategic decisions guiding the next phase of the project.๐
๐๐๐๐ ๐ฆ๐จ๐ซ๐ ๐ก๐๐ซ๐: https://t.co/BDBodSW3Qs
๐ Our partner @arxnet joined the 20th KA-Business Innovation & Development Conference in Thessaloniki.
Pantelis I. Kaplanoglou highlighted a key idea:
๐ AI should adapt to serve entrepreneurship, not the other way around.
๐ฅ[GR]: https://t.co/FTvJDJPpXk
The "missing link" for Neuromorphic AI is finally here. ๐
At #EmbeddedWorld2026, our partners at #FraunhoferIIS showcased how we're moving AI into the milliwatt (mW) and nanosecond (ns) range.
The secret? DNN-to-SNN Knowledge Distillation.
Join our partner @FraunhoferIIS at the STANCE Networking Evening about neuromorphic computing. We will also present our work within the MANOLO project, on hardware-aware model training and optimization.
https://t.co/awVwYieh5r
The LexAid-EU framework shows how combining RAG with domain-specific legal knowledge can reduce hallucinations and support compliance with key EU regulations like the GDPR and AI Act, across multiple languages. Kudos to @RAIDO_project!
https://t.co/YLDWDImvXq
Navigating EU law just got easier. ๐ช๐บOur latest research introduces LexAid-EUโa framework that uses RAG to ground AI responses in authoritative sources like the #AIAct and #GDPR. No more hallucinations, just jurisdiction-aware, multilingual legal support.
https://t.co/a9sXqIJHEl
Explore how our synergy @AI_DAPT project utilizes hybrid Science - AI models to create systems that are more reliable, understandable, and efficient in terms of data, ranging from residual learning to practical implementation with HMEE.
๐ง New blog post is live!
Hybrid AI Models in AI-DAPT show how science & machine learning work together to build more reliable, interpretable, and data-efficient AI โ from residual learning to real-world deployment.
๐ Read more: https://t.co/kq6zOa6FJF
Spiking neural networks are the next frontier in energy-efficient, real-time AI. Together with @FraunhoferIIS we are making them practical for real-world applications. This approach ensures the delivery of energy-efficient AI solutions.
Read more: https://t.co/PtGkHCngIe
๐ Proud to see our synergy AGIMUS Project making amazing progress and publishing such interesting research.
๐ Read its new paper: "Warm-Starting Collision-Free Model Predictive Control With Object-Centric Diffusion".
In our new paper, we demonstrate that combining diffusion-based warm-starting with a latent object-centric representation and a collision-aware MPC leads to real-time, feasible robot motions. ๐ https://t.co/9UkqgmJfiR
๐ด๐จ๐ต๐ถ๐ณ๐ถ 4๐๐ ๐ต๐๐๐๐๐๐๐๐๐ ๐๐ ๐๐๐! ๐
Explore our latest project developments, exciting AI event participation, and key milestones from the last six months.
Read our Newsletter here: https://t.co/nnEHFBUT7U
Our partner @28DGTL organized the Spanish Digital Innovation Day. Our project was presented, focusing on trustworthy and efficient AI. It was inspiring to showcase our contributions to Europeโs AI compliance and cloud-edge innovation ecosystem.
MANOLO participated in the Nexus Forum by our partner @28DGTL and contributed to discussions on innovation and industry adoption. Our project continues to bring human-centric AI from research into real-world pilots across healthcare, manufacturing, and public services.
Our synergy's @Agimus_EU Team has upgraded their robot with: - Torque-controllable arms for precise manipulation - An automatic tool changer for rapid gripper swaps.
๐๐ข๐ฌ๐ข๐ญ ๐๐๐๐๐๐' ๐ฐ๐๐๐ฌ๐ข๐ญ๐:ย https://t.co/ZTlsnn7bUU
AGIMUS Team has made major hardware upgrades to our robot, AGIMUS-TIAGo, like custom torque-controllable arms and an automatic tool changer. Watch the video below:
Paper:๐๐ซ๐ข๐๐ญ๐๐จ๐: ๐ ๐๐ข๐ฑ๐ญ๐ฎ๐ซ๐ ๐จ๐ ๐๐ฑ๐ฉ๐๐ซ๐ญ๐ฌ ๐๐ฉ๐ฉ๐ซ๐จ๐๐๐ก ๐ญ๐จ ๐๐๐ง๐๐ฅ๐ ๐๐จ๐ง๐๐๐ฉ๐ญ ๐๐ซ๐ข๐๐ญ๐ฌ.This research introduces the DriftMoE, an online Mixture-of-Experts architecture designed to tackle the challenge concept drift. https://t.co/PaMFFSyCZd
MANOLO was presented at the EBDVF 2025 event, by Julia Palma from @CeADARIreland.
Julia's presentation focused on MANOLO Use cases scenarios, Z-inspection co-design framework, and the projectโs integration approach & mapping. Read more: https://t.co/VUCkwC1SR3
On 21โ22 October 2025, the MANOLO consortium met in Madrid to review progress, exchange insights, and shape the next steps of the project.
A big thank you to @28DGTL for hosting and to all partners for their collaboration and commitment! Read more here: https://t.co/J2VU5Bri52