Latest News
Stay updated with the latest news, achievements, and collaborations of Professor Dr. Sazzad Hossain.
Decoherence to Deluge: The Engineering Realities of Quantum Error Correction
This post delves into the engineering realities of quantum error correction, outlining the immense challenges of qubit fragility and the complex strategies being developed to achieve robust, scalable quantum computing.
Read MoreAvian AI: Robot Bird Masters GPS-Denied Navigation, Redefining Autonomous Flight
Forget clumsy drones; new bio-inspired aerial robots are navigating complex, cluttered environments at speed, signaling a paradigm shift for autonomous systems in real-world scenarios.
Read MoreNeuromorphic Breakthrough: Self-Powered Artificial Synapse Mimics Human Color Vision
Japanese researchers have unveiled an artificial synapse that not only emulates human color perception but powers itself, paving the way for ultra-low-power AI at the edge.
Read MoreQuantum Machine Learning: The Uncharted Path to Artificial General Intelligence?
This blog explores the provocative claim that Quantum Machine Learning (QML) might be the only viable path to Artificial General Intelligence (AGI), detailing its potential to revolutionize AI's computational and learning paradigms.
Read MoreGlobal Push for AI Governance Intensifies in 2025 with Focus on Risk-Based Regulation
Global efforts to regulate AI are accelerating in 2025, emphasizing risk-based frameworks, explainability, and human oversight to ensure responsible development amidst rising AI incidents.
Read MoreFrom Text to Tableau: MIT's SketchAgent Teaches AI the Art of Visual Expression
Can AI truly understand and communicate visually like humans? MIT's latest project aims to imbue language models with the ability to sketch concepts stroke-by-stroke, heralding more intuitive AI collaborators.
Read MoreQuantum Machine Learning Poised for Exponential Growth
Quantum Machine Learning is poised for exponential growth, leveraging quantum principles to unlock unprecedented computational capabilities for AI, potentially leading to Artificial General Intelligence (AGI).
Read MoreThe Ethical Tightrope: Navigating Bias and Control in Autonomous AI Agents
This blog explores the intricate ethical challenges of autonomous AI agents, focusing on inherent biases, emergent behaviors, and the critical need for robust control mechanisms and provable alignment.
Read MoreResearchers Sound Alarm on "AI Model Collapse" from Synthetic Data
AI models increasingly trained on synthetic data risk "model collapse," leading to degraded quality, amplified biases, and reduced diversity, necessitating urgent mitigation strategies.
Read MoreThe Synthetic Data Paradox: Why AI's Future May Be Eating Itself
Examining the "AI model collapse" phenomenon, this blog explores the risks of training generative AI on synthetic data, leading to quality degradation, bias amplification, and a drift from reality.
Read MoreMachine Unlearning Advances: Researchers Tackle "Exact Forgetting" for Enhanced Data Privacy
Machine unlearning is advancing to address data privacy, with new frameworks tackling "exact forgetting" by efficiently removing data influence from models without full retraining.
Read MoreQuantum Computing Enters "Utility Era" with Tangible Applications
Quantum computing is transitioning into a "utility era," delivering tangible value in finance, healthcare, and logistics through hybrid quantum-classical approaches and cloud accessibility.
Read MoreAI Revolutionizes Healthcare in 2025: From Personalized Wellness to Rapid Drug Discovery
AI is transforming healthcare in 2025, from rapidly discovering new drugs and diagnosing diseases earlier to personalizing wellness and alleviating physician burnout.
Read MoreIBM Targets Fault-Tolerant Quantum Computing by 2029 with IBM Quantum Starling
IBM's roadmap targets fault-tolerant quantum computing by 2029 with IBM Quantum Starling, leveraging resource-efficient "bivariate bicycle (BB) codes" and a modular chip development strategy.
Read More2025 Declared "Year of the AI Agent" as Market Surges Towards $47 Billion by 2030
The AI agent market is booming, with 95% of developers engaged in enterprise AI agent development, promising substantial efficiency gains and leading to the declaration of 2025 as the "Year of the AI Agent."
Read MoreMicrosoft Unveils Majorana 1: World's First Topological QPU with Intrinsic Fault Tolerance
Microsoft unveiled Majorana 1, the first topological QPU leveraging "topoconductors" for intrinsically fault-tolerant qubits, aiming for unprecedented scalability and significantly reduced error correction overhead.
Read MoreUS AI Investment Soars to $109.1 Billion in 2024, While China Narrows Performance Gap
US AI investment reached $109.1 billion in 2024, dwarfing other nations, yet Chinese AI models achieved near-parity on benchmarks, highlighting the impact of strategic research and talent.
Read MoreLLMs as Scientific Collaborators: A New Paradigm for Knowledge Discovery
This post explores the burgeoning role of LLMs as scientific collaborators, highlighting their evolving capabilities in algorithmic reasoning and their potential to accelerate knowledge discovery.
Read MoreAdaptive Writing Agents Revolutionize Content Generation
A new agent framework enables LLMs to perform human-like adaptive writing through recursive task decomposition and dynamic interleaving of retrieval, reasoning, and composition.
Read MoreAI Models Achieve Unprecedented Performance Gains on Leading Benchmarks in 2024
AI models demonstrated substantial performance improvements on key benchmarks in 2024, showing enhanced reasoning and problem-solving, coupled with significant cost reductions for inference.
Read MoreGoogle Unveils 105-Qubit Willow Chip, Claims Quantum Supremacy and Exponential Error Correction
Google's 105-qubit Willow chip achieved quantum supremacy and demonstrated exponential error correction, suggesting self-improving reliability with scaling.
Read MoreComprehensive Research Reveals Persistent LLM Limitations: Hallucinations, Bias, and Security Vulnerabilities Top Concerns
Extensive research highlights persistent LLM limitations including hallucinations, biases, and security vulnerabilities, driving increased focus on "safety and controllability" in academic discourse.
Read MoreGlobal LLM Market Soars to $6.33 Billion in 2024, Projects $95 Billion by 2034
The global LLM market, valued at $6.33 billion in 2024, is projected for explosive growth to $95 billion by 2034, driven by widespread commercialization across industries.
Read MoreMultimodal LLMs Integrate Vision, Sound, and Text for Holistic World Understanding
Multimodal LLMs are increasingly integrating diverse data formats like vision, sound, and text, enabling a more holistic understanding of the world and unlocking significant value in generative AI.
Read MoreState-of-the-Art LLMs Excel in Advanced Algorithms Exams
State-of-the-art LLMs now excel in advanced algorithms exams, demonstrating nascent algorithmic cognition and paving the way for intelligent editorial support in education.
Read MoreOpen-Source LLMs Achieve Parity with Proprietary Models, Democratizing AI Innovation
Open-source LLMs like LLaMA 3.1 and Mistral are increasingly rivaling proprietary models, democratizing AI access, enabling customization, and fostering rapid innovation due to open access to weights and data.
Read MoreKolmogorov-Arnold Networks (KANs) Emerge as Interpretable Alternative to MLPs
Kolmogorov-Arnold Networks (KANs) are emerging as an interpretable alternative to MLPs, offering superior accuracy and aiding scientific discovery by allowing visualization of learned functions.
Read MoreLLM Architectures Transform with Rise of MoE and State Space Models
LLM architectures are evolving rapidly with Mixture-of-Experts (MoE) and State Space Models (SSMs) offering significant efficiency gains and improved long-sequence handling over traditional Transformers.
Read More