A key part of the SpaceX-xAI deal's rationale is to move datacentres - the central nervous system of AI tools - into space. A key part of the SpaceX-xAI deal's rationale is to move datacentres - the central nervous system of AI tools - into space. Why has Elon Musk merged his rocket company with his AI startup? SpaceX's acquisition of xAI creates business worth $1.25tn but whether premise behind deal will work is questioned The acquisition of xAI by SpaceX is a typical Elon Musk deal: big numbers backed by big ambition. As well as extending "the light of consciousness to the stars", as Musk described it, the transaction creates a business worth $1.25tn (£920bn) by combining Musk's rocket company with his artificial intelligence startup.

Charlie Kirk's wife reveals she was'praying to God' she was pregnant when her husband was killed It all seems to be falling apart now! Marriage drama for lawyer mom whose stepdad infamously dropped daughter, 2, to her death off cruise ship... as she debuts raunchy new look and bad boy lover Gavin Newsom's inner circle on edge as multiple aides receive ominous letter from FBI just days after California governor's chief of staff was indicted Full House's Jodie Sweetin reveals how addiction struggle began at 14 at costar Candace Cameron Bure's wedding Cunning new tactic women are using to cheat. Fans turn on RichTok influencer Becca Bloom over shocking comments... as she makes stunning admission about her marriage and her wild extravagance is revealed Slash your cholesterol by a third in just a month... hundreds of thousands are on a new diet that's transforming lives. Top doctor reveals little-known procedure to fix agonizing issue that plagues half of men over 50. It could cure those late-night trips to the bathroom... AND save your sex life World's first lung cancer vaccine to enter clinical trials... but quitting smoking is still recommended as top way to avoid developing the disease First pieces of $20B trove retrieved from 300-year-old'Holy Grail' shipwreck off Colombia Curse of $30m'Netflix mansion' where Meghan and Harry declared war on the Royal Family as owner takes drastic action to sell it Scientists issue ominous warning over mind-altering'brain weapons' that can control your perception, memory and behaviour Mind control weapons may sound like something from a dystopian science fiction film, but experts now say they are becoming a reality.

Neuronal architectures comprise synaptically connected neurons distributed throughout the central nervous system, the coordinated activities of which orchestrate neurological functions ranging from breathing to movement and cognition. Disentangling these neuronal architectures and how they are disrupted in disease is a fundamental goal of neuroscience. Historically, this challenge has been addressed with a reductionist framework that translated hypotheses into the interrogation of discrete neuronal subpopulations based on a priori expectations. The advent of high-throughput methodologies, including whole–central nervous system imaging in rodent models and single-cell transcriptomic readouts, now enable the visualization and characterization of neuronal subpopulations throughout the central nervous system. Increases in scale further enable comparative experimental designs that can be navigated with computational frameworks. These advances augur a new era wherein neuronal architectures implicated in diverse neurological functions, yet obscured by the complexity of the central nervous system, can be exposed without bias and interrogated with genetically guided experimental manipulations.

Recent advances in AI raise the possibility that AI systems will one day be able to do anything humans can do, only better. If artificial general intelligence (AGI) is achieved, AI systems may be able to understand, reason, problem solve, create, and evolve at a level and speed that humans will increasingly be unable to match, or even understand. These possibilities raise a natural question as to whether AI will eventually become superior to humans, a successor "digital species", with a rightful claim to assume leadership of the universe. However, a deeper consideration suggests the overlooked differentiator between human beings and AI is not the brain, but the central nervous system (CNS), providing us with an immersive integration with physical reality. It is our CNS that enables us to experience emotion including pain, joy, suffering, and love, and therefore to fully appreciate the consequences of our actions on the world around us. And that emotional understanding of the consequences of our actions is what is required to be able to develop sustainable ethical systems, and so be fully qualified to be the leaders of the universe. A CNS cannot be manufactured or simulated; it must be grown as a biological construct. And so, even the development of consciousness will not be sufficient to make AI systems superior to humans. AI systems may become more capable than humans on almost every measure and transform our society. However, the best foundation for leadership of our universe will always be DNA, not silicon.

Research on the visual patterns that foreshadow migraines may reveal clues on how painful headaches arise from the brain even though it has no pain receptors. Colorful zig-zag lines flash in the corner of an eye, while the tunnel vision makes most of the view obscured. Migraine with aura is usually painless, though in large majority of cases means the real migraine is about to kick in. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links.

The blood-brain barrier (BBB) serves as a protective barrier that separates the brain from the circulatory system, regulating the passage of substances into the central nervous system. Assessing the BBB permeability of potential drugs is crucial for effective drug targeting. However, traditional experimental methods for measuring BBB permeability are challenging and impractical for large-scale screening. Consequently, there is a need to develop computational approaches to predict BBB permeability. This paper proposes a GPS Transformer architecture augmented with Self Attention, designed to perform well in the low-data regime. The proposed approach achieved a state-of-the-art performance on the BBB permeability prediction task using the BBBP dataset, surpassing existing models. With a ROC-AUC of 78.8%, the approach sets a state-of-the-art by 5.5%. We demonstrate that standard Self Attention coupled with GPS transformer performs better than other variants of attention coupled with GPS Transformer.

Mammals can generate autonomous behaviors in various complex environments through the coordination and interaction of activities at different levels of their central nervous system. In this paper, we propose a novel hierarchical learning control framework by mimicking the hierarchical structure of the central nervous system along with their coordination and interaction behaviors. The framework combines the active and passive control systems to improve both the flexibility and reliability of the control system as well as to achieve more diverse autonomous behaviors of robots. Specifically, the framework has a backbone of independent neural network controllers at different levels and takes a three-level dual descending pathway structure, inspired from the functionality of the cerebral cortex, cerebellum, and spinal cord. We comprehensively validated the proposed approach through the simulation as well as the experiment of a hexapod robot in various complex environments, including obstacle crossing and rapid recovery after partial damage. This study reveals the principle that governs the autonomous behavior in the central nervous system and demonstrates the effectiveness of the hierarchical control approach with the salient features of the hierarchical learning control architecture and combination of active and passive control systems.

Counterfactuals operationalised through algorithmic recourse have become a powerful tool to make artificial intelligence systems explainable. Conceptually, given an individual classified as y -- the factual -- we seek actions such that their prediction becomes the desired class y' -- the counterfactual. This process offers algorithmic recourse that is (1) easy to customise and interpret, and (2) directly aligned with the goals of each individual. However, the properties of a "good" counterfactual are still largely debated; it remains an open challenge to effectively locate a counterfactual along with its corresponding recourse. Some strategies use gradient-driven methods, but these offer no guarantees on the feasibility of the recourse and are open to adversarial attacks on carefully created manifolds. This can lead to unfairness and lack of robustness. Other methods are data-driven, which mostly addresses the feasibility problem at the expense of privacy, security and secrecy as they require access to the entire training data set. Here, we introduce LocalFACE, a model-agnostic technique that composes feasible and actionable counterfactual explanations using locally-acquired information at each step of the algorithmic recourse. Our explainer preserves the privacy of users by only leveraging data that it specifically requires to construct actionable algorithmic recourse, and protects the model by offering transparency solely in the regions deemed necessary for the intervention.

Artificial hands, even the most sophisticated prostheses, are still by far inferior to human hands. What they lack are the tactile abilities crucial for dexterity. Other challenges include linking sensing to action within the robotic system – and effectively linking it to the human user. Prof. Dr. Philipp Beckerle from FAU has joined with international colleagues to summarize the latest findings in this field of Robotics – and establish an agenda for future research. Their piece in the research journal Science Robotics suggests a sensorimotor control framework for haptically enabled robotic hands, inspired by principles of the human's central nervous system.

Connecta Therapeutics, a biotechnology company that specialises in the discovery and development of new treatments for unmet central nervous system (CNS) needs, has been granted €247,577 in funding through the Neotec programme, managed by the Spanish Ministry of Science and Innovation Centre for the Development of Industrial Technology (CDTI), in its 2021 call for projects. This funding will go towards advancing Connecta's business plan, by exploring new therapeutic indications in the CNS field and launching the paediatric plan for its pre-clinical asset CTH120. CTH120 is a neuroplasticity modulator, designed using artificial intelligence tehniques, that has been shown to improve cognitive abilities and reverse social interaction impairments observed in neurodevelopmental disorders. In 2022, Connecta Therapeutics will start Phase I clinical trials for CTH120 in Fragile X Syndrome (FXS), for which it has received the orphan drug designation from the European Medicines Agency. Dr Josep Prous, jr, co-founder and Chief Scientific Officer at Connecta Therapeutics, stated: "We're very satisfied to become part of the prestigious list of start-up companies to receive Neotec funding. This recognition validates and reinforces our development plan for Fragile X Syndrome and will allow us to explore CTH120's potential benefit in other CNS conditions."