Speculative decoding accelerates generation by drafting candidates and verifying them in parallel, yet state-of-the-art drafters (e.g., EAGLE) still require N sequential passes to propose N tokens. We present FastEagle, a non-autoregressive cascaded drafter that emits an entire draft in a single forward pass. FastEagle replaces temporal steps with a lightweight layer cascade and trains with layer-wise supervision to mitigate error accumulation. Coupled with a constrained draft tree that preserves lossless verification cost, FastEagle delivers substantial wall-clock speedups over strong autoregressive drafters while maintaining competitive acceptance behavior. Across multiple LLMs (Vicuna-13B, LLaMA-Instruct 3.x, and DeepSeek-R1-Distill-LLaMA) and tasks (MT-Bench, HumanEval, GSM8K, CNN/DM, Alpaca), FastEagle consistently outperforms EAGLE-3 in speedup under both greedy and stochastic decoding, with comparable average acceptance lengths. These results indicate that removing sequential dependencies in drafting is a practical path toward lossless LLM inference acceleration.

While theory and practice are often seen as separate domains, this article shows that theoretical insight is essential for overcoming real-world engineering barriers. We begin with a practical challenge: training a cross-morphology embodied AI policy that generalizes across diverse robot morphologies. We formalize this as the Heterogeneous Embodied Agent Training (HEAT) problem and prove it reduces to a structured Partially Observable Markov Decision Process (POMDP) that is PSPACE-complete. This result explains why current reinforcement learning pipelines break down under morphological diversity, due to sequential training constraints, memory-policy coupling, and data incompatibility. We further explore Collective Adaptation, a distributed learning alternative inspired by biological systems. Though NEXP-complete in theory, it offers meaningful scalability and deployment benefits in practice. This work illustrates how computational theory can illuminate system design trade-offs and guide the development of more robust, scalable embodied AI. For practitioners and researchers to explore this problem, the implementation code of this work has been made publicly available at https://github.com/airs-admin/HEAT

Artificial Intelligence conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers, participants, students, delegates, and exhibitors from across the globe to its Global Conference on Artificial Intelligence conferences to be held in the Various Beautiful cites of the world. Artificial Intelligence conferences are a discussion of common Inventions-related issues and additionally trade information, share proof, thoughts, and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications, such as in Science, medicine, electronics, biomaterials, energy production, and consumer products. The focal point of Artificial Intelligence is to bring forward discoveries, examine the system and strategic issues, assemble and keep forth basic strategies between analysts, professionals, arrangement producers, and agents of science Associations.

An impressive array of robots serves as a fitting backdrop for Stewart Miller, the CEO of the new National Robotarium, in a large and mostly empty space in a swish new building on the campus of Heriot-Watt University on the outskirts of Edinburgh. Launched in September in partnership with Edinburgh University, the center aims to bolster the UK's artificial intelligence (AI) and robotics sector, which Miller believes is lagging behind the major players. "We're rich in research in AI," he explains, "but where we tend to stumble – not just with AI, but with other technology as well – is when we try to take it out of the research setting and apply it. That's why we've been set up." In the weeks and months ahead this large, sparse space will fill up as it welcomes various tenant start-up AI and robotics firms and takes them under its wing.

Artificial intelligence and robotics will prove beneficial in bringing advancement in manufacturing and fulfilling increasing consumer demands.

This book provides insights into research in the field of artificial intelligence in combination with robotics technologies. The integration of artificial intelligence and robotic technologies is a highly topical area for researchers and developers from academia and industry around the globe, and it is likely that artificial intelligence will become the main approach for the next generation of robotics research. The tremendous number of artificial intelligence algorithms and big data solutions has significantly extended the range of potential applications for robotic technologies, and has also brought new challenges for the artificial intelligence community. Sharing recent advances in the field, the book features papers by young researchers presented at the 4th International Symposium on Artificial Intelligence and Robotics 2019 (ISAIR2019), held in Daegu, Korea, on August 20–24, 2019.

… and distributed SLAM, c) deep learning in safety and security, d) collaborative brain-machine intelligence, and e) robotic human augmentation.

New York Stem Cell Foundation (NYSCF) Research Institute collaborates with Google Research to identify new cellular characteristics of disease in skin cells from Parkinson's patients. A study published today (March 25, 2022) in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying patient cells with artificial intelligence methods for image analysis. Using their automated cell culture platform, scientists at the NYSCF Research Institute collaborated with Google Research to successfully identify new cellular hallmarks of Parkinson's disease by creating and profiling over a million images of skin cells from a cohort of 91 patients and healthy controls. "Traditional drug discovery isn't working very well, particularly for complex diseases like Parkinson's," noted NYSCF CEO Susan L. Solomon, JD. "The robotic technology NYSCF has built allows us to generate vast amounts of data from large populations of patients, and discover new signatures of disease as an entirely new basis for discovering drugs that actually work." "This is an ideal demonstration of the power of artificial intelligence for disease research," added Marc Berndl, Software Engineer at Google Research.

Dr Rama Joshi The incidence of cancer is rising steadily globally as well as in our country. Around 13 lakh new cancer cases were diagnosed in India in 2020 as per ICMR. Cancer not only impacts the person's health but also has social psychological and economical implications. The word cancer is used to define a collection of diseases that share one unique characteristic – the uncontrolled growth of cells having the potential to spread to other parts of the body. Its site of origin defines the primary cancer and affects all age groups.

Enthusiastic and inquisitive healthcare professionals are significantly excited for healthtech summits taking place around the world. Perhaps when it is about rapidly evolving technologies influencing healthcare operations like robotics in healthcare. Lately, the introduction of artificial intelligence has considerably fueled surgical robots and other robotic applications in the healthcare industry. Thus, concerns relating to the future of healthcare and scrutinization of past healthtech events are analysed in these healthtech summits. Here are some of the most helpful healthtech summits listed that cordially invite healthcare enthusiasts to join.