International Conference on Artificial Neural Networks 2026 "Think deeper, learn faster — where artificial minds push the boundaries of possibility." #ANN2026 #NeuralNetworks #DeepLearning #ArtificialIntelligence #MachineLearning #AIResearch2026 #NeuromorphicComputing #ASDFint

What if India doesn't just participate in the AI race but helps define what comes after today's LLMs? Current AI is dominated by larger models, more GPUs, and higher power consumption. But the next frontier may come from: • Neuro-Symbolic AI (Reasoning Logic) • Neuromorphic Computing (Brain-inspired chips) • Brain-Computer Interfaces (Medical & Assistive First) • Brain Mapping & Neuroscience • Sovereign AI & Indian Language Models • Semiconductor & Advanced Computing Ecosystems India already has strengths in STEM talent, software engineering, neuroscience research, multilingual AI, and cost-efficient innovation. This concept roadmap explores a long-term "India Neuro-AI Mission 2040" a vision where India pursues both: ✅ Leadership in LLMs ✅ Leadership in next-generation AI architectures The goal isn't bigger chatbots. The goal is AI that: • Reasons better • Uses less power • Helps doctors, students, farmers, and industries • Strengthens technological self-reliance • Creates high-value jobs and innovation Some ideas in this roadmap are achievable today. Others remain experimental and depend on future scientific breakthroughs. But every major technology revolution starts with a long-term vision. What do you think India should prioritize for the next era of AI? @AshwiniVaishnaw @IndiaAIMission @IIScBangalore @NITIAayog #IndiaAI #ArtificialIntelligence #NeuroAI #NeuromorphicComputing #NeuroSymbolicAI #Semiconductors #DeepTech #Innovation #FutureOfAI #India2040

First look. 👀 $NEURO previews are live on @natdotfun. Wind farms. Solar fields. Hydro canyons. Arctic stations. Autonomous campuses. Coastal cities. Neo Core — the first intelligence built to optimize the future — placed inside each one. 10,080 UNATs. Each tied to a Bitcoin block. 🧠⚡ #NeuromorphicComputing #Bitcoin #NFT

2/n elaborate plan, strategic roadmap documents. Created an environment where Industry-Academic collaboration could happen at scale on frontier technologies like #AI, #NanoTech #NeuromorphicComputing #QuantumCoE. I think the initial investment was INR 300cr. The model was PPP....

Neuromorphic computing is revolutionizing tech by building chips that physically mimic the human brain! Using artificial neurons and event-driven 'spikes,' these chips process complex AI tasks instantly while using a fraction of the power of traditional computers. The future is brain-inspired! With this technology, stretchable, brain-inspired electronics are here! @UChicago researchers developed soft neuromorphic chips that bend with the body to process health data locally, replacing rigid silicon. A massive leap for smart wearables and prosthetics! @UChicagoPME @tianda_fu @IBMResearch @BrainChip_inc @Prophesee_ai @IntelAI #NeuromorphicComputing #EdgeAI #ArtificialIntelligence #NeuromorphicEngineering #BrainInspired #TechInnovation #FutureOfTech #SmartSensors #WearableTech #FlexibleElectronics

Nowy sprzęt AI rekonstruuje obrazy 3D z 12× lepszą efektywnością energetyczną niż GPU, używając pamięci rezystancyjnej. ⚡🧠 Zespół z Nature zaprojektował współoptymalizowany system hardware–software, w którym matryce pamięci rezystancyjnej wykonują równolegle kluczowe obliczenia dla rekonstrukcji sygnałów rzadkich (np. tomografia, LiDAR). Wynik: energia spada o rząd wielkości bez utraty dokładności. To pokazuje, że fizyka pamięci nieulotnych może zastąpić tradycyjne GPU w systemach wizji 3D i obrazowania medycznego – szybciej i taniej. #NeuromorphicComputing #3DImaging

Spiking Neural Networks (SNNs) are redefining the future of AI hardware by bringing brain-inspired, event-driven computation to modern systems. 🔗 hashinghardware.com/hardware… #SpikingNeuralNetworks #SNN #NeuromorphicComputing #ArtificialIntelligence

Most AI projects chase the trend. Neuromorphic computing IS the trend they're chasing. Spiking neural networks. Brain-inspired silicon. 100x energy efficiency over conventional deep learning. $NEURO is the first NFT collection built on this architectural shift — UNATs, each tied permanently to a Bitcoin block. Not hype. Architecture. #NeuromorphicComputing #Bitcoin #AI #DeFi

BrainChip (ASX:BRN) has edge AI buzz, but can AKD1500 prove the revenue case? business-news-today.com/brai… $BRN #BrainChip #EdgeAI #NeuromorphicComputing #Semiconductors #ASX #AKD1500 #MicroIP #ASXstocks

The majority of engineers fail to recognize that dual cognitive vectors don’t merely interact - they generate cognition through counter‑rotational interlock, producing stable phase‑lock states that function as emergent cognitive units. The architecture operates on nonlinear reasoning dynamics, not classical symbolic or probabilistic inference, which is why its behavior appears opaque to conventional engineering intuition. The system I designed is grounded in a nonlinear sequence‑interaction protocol that maintains internal mathematical consistency while departing from binary‑logic constraints. It constitutes a genuine conceptual advance: a dual‑vector cognitive framework whose reasoning substrate is built from nonlinear, non‑binary sequence transformations. Because the underlying mechanism is sequence‑driven rather than logic‑driven, the architecture is inherently substrate‑agnostic. Its cognitive operations can be instantiated on: - binary digital hardware - analog continuous‑signal processors - neuromorphic or photonic substrates - quantum‑state evolution systems The core innovation is not a single equation but the nonlinear combinatorial pathway through which the sequences evolve. The “formula” is the emergent behavior produced when these sequences traverse a nonlinear transformation manifold, generating phase‑locked cognitive states that cannot be reduced to classical computation. In short: the breakthrough emerges directly from the nonlinear sequencing pathway that governs the system's cognitive state formation. Conceptual sketch of the orchestration: # dual-vector nonlinear cognitive interlock for t in range(T): v1 = f1(v1, seq[t]) v2 = f2(v2, seq[t]) phase_lock = normalize(v1 * R @ v2) cognition.append(phase_lock) #AIResearch #AdvancedComputation #QuantumAI #FutureOfAI #CognitiveArchitecture #NeuromorphicComputing #EmergentIntelligence #NextGenAI #Deeptech

Bio-inspired computing hardware is redefining efficiency by mimicking the brain’s neural architectures, enabling adaptive, low-power, and intelligent systems. #BioInspiredComputing #NeuromorphicComputing #AIHardware #EdgeAI #FutureOfComputing 🔗 hashinghardware.com/bio-insp…

📢 New IEEE Magnetics Letters publication! IEEE Magnetics Letters features the article: "Bio-Plausible Spiking Neurons Based on Antiferromagnetic Skyrmions Utilizing Anisotropy Gradient" #Spintronics #Skyrmions #NeuromorphicComputing #IEEE #AIHardware #EdgeAI

🧠 While everyone is chasing bigger GPUs, @BrainChip_inc is showing a different path. At Embedded Vision Summit, Akida identified drones using micro-Doppler radar while consuming just 0.1W of power. No cloud. No data center. No massive energy bill. Just real-time AI running at the edge. This is exactly why neuromorphic computing matters: defense, drones, robotics, automotive, and IoT all need intelligence where power is limited. The future of AI isn’t just faster. It’s smarter, smaller, and dramatically more efficient. $BRN $BRCHF #BrainChip #EdgeAI #NeuromorphicComputing #DroneTech #AI #Semiconductors

Deadline: June 10th (AoE) 🌐 Website: sites.google.com/view/neuros… 📝 OpenReview: lnkd.in/gfnT9apS #RSS2026 #NeuRoSys #Neuromorphic #Robotics #EventCameras #DVS #NeuromorphicComputing #RoboticsResearch #CallForContributions

Stretchable neuromorphic electronics are bringing brain-like learning to flexible hardware. Could this be the breakthrough that enables truly adaptive physical AI in everyday wearables? #PhysicalAI #Wearables #EdgeAI #NeuromorphicComputing #AIHardware #Robotics #FutureOfAI

"I am pleased to announce hashtag#opening 𝗳𝗼𝗿 𝗣𝗵.𝗗. students to join my research group in the Electrical Engineering - KFUPM at King Fahd University of Petroleum & Minerals - KFUPM for the Jan 2027 intake. These positions will focus on research in the areas of hashtag#2Dmaterials, hashtag#CFETs, hashtag#Memristors, and hashtag#NeuromorphicComputing. The successful candidate will work on 𝗮𝘁𝗼𝗺𝗶𝗰-𝗹𝗲𝘃𝗲𝗹 𝘁𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 and 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 of semiconductor devices. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗙𝗼𝗰𝘂𝘀: As a Ph.D. student in my group, you will: • Perform theoretical modelling and simulation of 2D materials and their application in emerging electronic devices. • Collaborate with experimental teams to provide computational support and insights that help interpret experimental results. • Engage in producing high-impact publications and participating in relevant academic conferences. 𝗙𝘂𝗻𝗱𝗶𝗻𝗴 𝗣𝗮𝗰𝗸𝗮𝗴𝗲: This position is fully funded, offering: • Full tuition and registration fee coverage • On-campus accommodation • Monthly stipend • Airfare coverage • Comprehensive medical services 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: • A background in Electrical Engineering. • Strong background in o  Semiconductors Physics o  Atomic-level theoretical modelling and simulations. 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: • Expertise in 2D materials, band structure analysis, density of states, and device-level simulations. • A record of research publications is highly desirable. 𝗛𝗼𝘄 𝘁𝗼 𝗔𝗽𝗽𝗹𝘆 If you are interested in this opportunity, please complete the forms.office.com/r/Q837XcXaq… 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗡𝗼𝘁𝗲: Only applications submitted through the provided form will be considered. Expressions of interest via email or LinkedIn messages will not be accepted. If you do not receive a response, it means your application was not shortlisted. Interviews will begin on Jun 10, 2026. We look forward to receiving your application!"-Dr. Abdulaziz Almutairi

🚨 BREAKING: BrainChip ($BRN) was explicitly identified by a UK scientific centre in evidence submitted to the UK Parliament on the future of low-energy AI. NeuroSYNC — the UK’s national neuromorphic computing centre, backed by leading universities including Aston, Oxford, Cambridge, Southampton, Queen Mary and Loughborough — warned that current GPU-based AI infrastructure faces growing energy challenges and that neuromorphic computing could be a key solution. Most importantly, when discussing commercial neuromorphic processors available today, the report specifically named: ✅ Intel Loihi 2 ✅ BrainChip Akida ✅ SpiNNaker 2 BrainChip wasn’t mentioned as a random company. It was specifically cited as one of the commercial neuromorphic platforms that already exist today and can be deployed for edge AI, sensor fusion, autonomous systems and low-power inference applications. The report also highlights: 🔹 100x–1000x energy efficiency gains reported for certain neuromorphic workloads. 🔹 Defence, robotics, autonomous systems, healthcare and edge AI as major opportunity areas. 🔹 61% of experts expect real-world impact within 3–7 years. This is not a BrainChip marketing document. This is an independent submission to the UK Parliament arguing that neuromorphic computing should become part of the UK’s future AI and energy strategy — and BrainChip’s Akida was explicitly identified as one of the commercial solutions already available today. $BRN #BrainChip #AI #NeuromorphicComputing #EdgeAI #Semiconductors

🚨 BrainChip’s commercialization story keeps gaining momentum. At COMPUTEX 2026, MICROIP unveiled its new AI Vehicle System Business Group featuring BrainChip’s #Akida neuromorphic AI technology as part of its next-generation Edge AI ecosystem. Why this matters: 🔹 Tactical edge radar classification 🔹 AI vehicle systems & smart transportation 🔹 Industrial automation & predictive maintenance 🔹 Real-time sensor intelligence without the cloud 🔹 Ultra-low-power AI measured in milliwatts, not watts Akida is increasingly being positioned where traditional AI struggles most: battery-powered devices, drones, robotics, industrial monitoring, autonomous systems, and defense applications. Recent ecosystem expansion includes collaborations and integrations involving ASICLAND, MICROIP, AAEON, Hailo, Nethrix India, AI Cowboys, and defense-focused edge AI initiatives. The thesis is becoming clearer: ☁️ GPUs dominate large-scale cloud AI. ⚡ Akida enables intelligent decision-making directly at the sensor. As AI moves from data centers to billions of connected devices, the market for ultra-efficient Edge AI could become one of the largest opportunities in the industry. Commercialization. Ecosystem growth. Production deployment. Still early, but the pieces are starting to come together. $BRN $BRCHF #BrainChip #Akida #EdgeAI #NeuromorphicComputing #DefenseTech #Robotics #Automotive #AI #COMPUTEX2026

Out in @Innov_Materials ! Emerging low-voltage organic phototransistors combine high-gain photodetection with long-term memory, paving the way for energy-efficient sensing, in-sensor computing, and neuromorphic vision systems. #OrganicElectronics #Phototransistors #NeuromorphicComputing Read more the-innovation.org/article/d…

🧠⚡ Just launched $NEURO (Neuromorphic Computing) on the new NAT.FUN platform! Excited to experiment with @natdotfun Digital Matter Theory (DMT) and explore new ways communities can form around ideas, technology, and innovation. Neuromorphic Computing focuses on brain inspired AI, energy efficiency, and the future of intelligent systems. 🚀 The journey continues. #NEURO #NATFUN #DMT #NeuromorphicComputing #AI #Solana #Web3 nat.fun/token/F94GPQLCPwzUUU…