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Rackspace Expands Spot Platform with On-Demand NVIDIA GPU-as-a-Service for AI Workloads

SAN ANTONIO, Nov. 5, 2024 — Rackspace Technology has announced the expansion of Rackspace Spot with a new geographic location and an on-demand GPU-as-a-Service powered by NVIDIA. The expansion comes […]

The post Rackspace Expands Spot Platform with On-Demand NVIDIA GPU-as-a-Service for AI Workloads appeared first on HPCwire.




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AMAX Expands Server Portfolio with New AMD EPYC 9005 Series Processors for AI and HPC Workloads

FREMONT, Calif., Nov. 6, 2024 — AMAX, an AMD Elite Partner and a global leader in end-to-end GPU cluster solutions and advanced cooling technologies, announced its latest lineup of servers powered […]

The post AMAX Expands Server Portfolio with New AMD EPYC 9005 Series Processors for AI and HPC Workloads appeared first on HPCwire.




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IonQ to Expand Quantum Networking Portfolio with Qubitekk Acquisition

COLLEGE PARK, Md. and VISTA, Calif., Nov. 8, 2024 — IonQ has announced that it has reached a definitive agreement to acquire substantially all of the operating assets of Qubitekk, […]

The post IonQ to Expand Quantum Networking Portfolio with Qubitekk Acquisition appeared first on HPCwire.




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Go (Mountain) West, Quantum Workers! CU, CUbit, and Elevate Quantum Issue Workforce Roadmap

Last week the University of Colorado (Boulder), the CUbit Quantum Initiative, and the Elevate Quantum consortium released workforce roadmap for educating and building a quantum workforce. “This roadmap provides a […]

The post Go (Mountain) West, Quantum Workers! CU, CUbit, and Elevate Quantum Issue Workforce Roadmap appeared first on HPCwire.




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QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads

Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC […]

The post QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads appeared first on HPCwire.




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Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads

Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™ Bursting to cloud has long been used to complement on-premises HPC capacity […]

The post Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads appeared first on HPCwire.




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Why More Organizations Are Running HPC Workloads in the Cloud

Hyperion Research shows how organizations running high performance computing (HPC) workloads are looking to the cloud to accelerate performance. Projected to reach $11.5 billion by 2026, the cloud market for […]

The post Why More Organizations Are Running HPC Workloads in the Cloud appeared first on HPCwire.






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Four farmworkers in Washington state test positive for bird flu

Four agricultural workers in Washington state have tested positive for bird flu, the first human cases of H5N1 virus to be reported in the state. Washington is the sixth state to report a human infection of avian flu.




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Recipe for Scaling: ARQUIN Framework for Simulating a Distributed Quantum Computing System

One of the most difficult problems with quantum computing relates to increasing the size of the quantum computer. Researchers globally are seeking to solve this “challenge of scale.” To bring […]

The post Recipe for Scaling: ARQUIN Framework for Simulating a Distributed Quantum Computing System appeared first on HPCwire.




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ALCF Team Wins 1st Place and Best Workflow at 2023 IEEE SciVis Contest

Nov. 2, 2023 — Researchers from the Argonne Leadership Computing Facility (ALCF), the University of St. Thomas, and the University of Illinois Chicago (UIC) won first place and “best workflow” […]

The post ALCF Team Wins 1st Place and Best Workflow at 2023 IEEE SciVis Contest appeared first on HPCwire.




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Aliro Quantum Debuts Aliro Simulator, Enhancing Quantum Network Simulation and Visualization

BOSTON, Dec. 12, 2023 — Aliro Quantum today announced the controlled availability of Aliro Simulator, a versatile, modular quantum network simulator equipped to model all portions of a quantum network from […]

The post Aliro Quantum Debuts Aliro Simulator, Enhancing Quantum Network Simulation and Visualization appeared first on HPCwire.




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23andMe to cut 40% of workforce, end therapeutics program

Genetic-testing lab 23andMe plans to cut its workforce by 40% and end its therapeutics program in an effort to cut costs, the company announced Monday.




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Blake Shelton, Taylor Sheridan working on a singing competition series for CBS

Country music star Blake Shelton and writer-producer Taylor Sheridan are working on a new reality competition series for CBS called "The Road."




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Canada orders striking dock workers back to ports

Canada ordered striking dock workers back to the ports of Vancouver, Prince Rupert and Montreal on Tuesday to clear out more than a week of container congestion bound for the United States and Canada.




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SpaceX launches Koreasat-6A satellite with workhorse first-stage booster

SpaceX successful launched a South Korean communication satellite from Kennedy Space Center in Florida on Monday afternoon.




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The Stress Buster That Works Better Than Relaxing

Study of workplace stress finds there's a better way to cope than relaxation.




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Networking doesn't have to feel gross | Daniel Hallak

Networking doesn’t always have to feel like a self-serving transaction, says executive coach Daniel Hallak. Highlighting the importance of focusing on giving rather than taking when it comes to making connections, he outlines a mindset shift to help you build better relationships — in a way that doesn't feel gross.




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Emotional Ads Work Best

The idea that ads engaging us emotionally perform better than those relying solely on logic may seem obvious to many Neuromarketing readers. Yet, I still encounter business executives who remain skeptical, believing they are not influenced by emotions when making purchasing decisions. Since they think they are immune, they often question whether emotional appeals work […]

The post Emotional Ads Work Best appeared first on Neuromarketing.




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School Workers in Oregon Sue Union Over Window of Opportunity to Quit

Three Oregon school employees sued their union in federal court last week, arguing it's unfair that the teachers' union only lets members drop out and stop paying dues during the month of September.




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How Hybrid Learning Is (and Is Not) Working During COVID-19: 6 Case Studies

The mix of hybrid learning approaches is dizzying, but schools are learning valuable lessons about what is worth replicating.




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Clark County School District employees to work from home




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Teachers Without Internet Work in Parking Lots, Empty School Buildings During COVID-19

While most teachers have online access at home, internet service for many educators in rural areas is spotty, expensive, or nonexistent.




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Clark County School District employees to work from home




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How States and Schools Are Working to Grow Young Voters

States are tweaking voter registration laws for teenage voters and schools are busing students to the polls. Will these efforts help young people get in the habit of voting?




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Students' notes offer encouragement to health care workers




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Audit finds risks with Baltimore County schools network




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Florida Governor Says Closures Don't Work, Schools Will Stay Open

Florida’s Gov. Ron DeSantis said on Monday that schools will be required to remain open despite the rise in confirmed COVID-19 cases and hospitalizations, arguing lockdowns and closures have not worked.




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How Parents and Schools Can Work Together to Keep Math Learning on Track

Collaboration doesn’t require turning parents into math experts, classroom teachers say.




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Digital Math Games and Apps: What Works and What Doesn't?

Teachers are using a variety of games, videos, and apps to supplement online math instruction—but not all of them are created equal.




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District Hard-Hit by COVID-19 Begins 'Tough Work' of Getting On

No place in Georgia has suffered a higher rate of coronavirus cases than Dougherty County. And the school system, largely rural and poor, is in the middle of it.




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Betsy DeVos to Visit Manufacturer Where Hundreds of Teachers Work Second Jobs

U.S. Secretary of Education Betsy DeVos will hold a workforce event at a South Carolina drug manufacturer that employs hundreds of cash-strapped teachers in second jobs.




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This Teacher Is Suing Her District Over Working for Free, Buying School Supplies

School districts have "unconscionably and impermissibly shifted operating costs of the classrooms directly on the financial backs of our teachers," the lawsuit alleges.




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Florida Governor Says Closures Don't Work, Schools Will Stay Open

Florida’s Gov. Ron DeSantis said on Monday that schools will be required to remain open despite the rise in confirmed COVID-19 cases and hospitalizations, arguing lockdowns and closures have not worked.




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Iowa School Leaders Work to Establish Rural Student-Advocacy Group

Rural Iowa school superintendents and school board members unite to form new rural education advocacy group.




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Kyle Dubas Got To Work With The Eller Trade. What - And Who - Is Next?

With a need for youth in the system and for an urgent NHL course correction simultaneously, Pittsburgh will be a team to watch in the trade market




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Having problems at work?

Not sure what you should be paid? Chasing unpaid wages?




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Working Women's Legal Service

Women experiencing discrimination at work can contact the Working Women's Legal Service.




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Multiscale Computer Model of the Spinal Dorsal Horn Reveals Changes in Network Processing Associated with Chronic Pain

Laura Medlock
Apr 13, 2022; 42:3133-3149
Systems/Circuits




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Neuregulin1 Nuclear Signaling Influences Adult Neurogenesis and Regulates a Schizophrenia Susceptibility Gene Network within the Mouse Dentate Gyrus

Prithviraj Rajebhosale
Oct 23, 2024; 44:e0063242024-e0063242024
Cellular




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The Salience Network: A Neural System for Perceiving and Responding to Homeostatic Demands

William W. Seeley
Dec 11, 2019; 39:9878-9882
Progressions




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Make a Diorama Workshop

Create a 3D diorama inspired by the Library’s collection and see where your imagination takes you!
 




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A Recurrent Network Mechanism of Time Integration in Perceptual Decisions

Kong-Fatt Wong
Jan 25, 2006; 26:1314-1328
BehavioralSystemsCognitive




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Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

Umut Güçlü
Jul 8, 2015; 35:10005-10014
BehavioralSystemsCognitive




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Neuregulin1 Nuclear Signaling Influences Adult Neurogenesis and Regulates a Schizophrenia Susceptibility Gene Network within the Mouse Dentate Gyrus

Neuregulin1 (Nrg1) signaling is critical for neuronal development and function from fate specification to synaptic plasticity. Type III Nrg1 is a synaptic protein which engages in bidirectional signaling with its receptor ErbB4. Forward signaling engages ErbB4 phosphorylation, whereas back signaling engages two known mechanisms: (1) local axonal PI3K-AKT signaling and (2) cleavage by -secretase resulting in cytosolic release of the intracellular domain (ICD), which can traffic to the nucleus (Bao et al., 2003; Hancock et al., 2008). To dissect the contribution of these alternate signaling strategies to neuronal development, we generated a transgenic mouse with a missense mutation (V321L) in the Nrg1 transmembrane domain that disrupts nuclear back signaling with minimal effects on forward signaling or local back signaling and was previously found to be associated with psychosis (Walss-Bass et al., 2006). We combined RNA sequencing, retroviral fate mapping of neural stem cells, behavioral analyses, and various network analyses of transcriptomic data to investigate the effect of disrupting Nrg1 nuclear back signaling in the dentate gyrus (DG) of male and female mice. The V321L mutation impairs nuclear translocation of the Nrg1 ICD and alters gene expression in the DG. V321L mice show reduced stem cell proliferation, altered cell cycle dynamics, fate specification defects, and dendritic dysmorphogenesis. Orthologs of known schizophrenia (SCZ)-susceptibility genes were dysregulated in the V321L DG. These genes coordinated a larger network with other dysregulated genes. Weighted gene correlation network analysis and protein interaction network analyses revealed striking similarity between DG transcriptomes of V321L mouse and humans with SCZ.




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Cortically Disparate Visual Features Evoke Content-Independent Load Signals during Storage in Working Memory

It is well established that holding information in working memory (WM) elicits sustained stimulus-specific patterns of neural activity. Nevertheless, here we provide evidence for a distinct class of neural activity that tracks the number of individuated items in working memory, independent of the type of visual features stored. We present two EEG studies of young adults of both sexes that provide robust evidence for a signal tracking the number of individuated representations in working memory, regardless of the specific feature values stored. In Study 1, subjects maintained either colors or orientations across separate blocks in a single session. We found near-perfect generalization of the load signal between these two conditions, despite being able to simultaneously decode which feature had been voluntarily stored. In Study 2, participants attended to two features with very distinct cortical representations: color and motion coherence. We again found evidence for a neural load signal that robustly generalized across these distinct visual features, even though cortically disparate regions process color and motion coherence. Moreover, representational similarity analysis provided converging evidence for a content-independent load signal, while simultaneously showing that unique variance in EEG activity tracked the specific features that were stored. We posit that this load signal reflects a content-independent "pointer" operation that binds objects to the current context while parallel but distinct neural signals represent the features that are stored for each item in memory.




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Spatiotemporal Neural Network for Sublexical Information Processing: An Intracranial SEEG Study

Words offer a unique opportunity to separate the processing mechanisms of object subcomponents from those of the whole object, because the phonological or semantic information provided by the word subcomponents (i.e., sublexical information) can conflict with that provided by the whole word (i.e., lexical information). Previous studies have revealed some of the specific brain regions and temporal information involved in sublexical information processing. However, a comprehensive spatiotemporal neural network for sublexical processing remains to be fully elucidated due to the low temporal or spatial resolutions of previous neuroimaging studies. In this study, we recorded stereoelectroencephalography signals with high spatial and temporal resolutions from a large sample of 39 epilepsy patients (both sexes) during a Chinese character oral reading task. We explored the activated brain regions and their connectivity related to three sublexical effects: phonological regularity (whether the whole character's pronunciation aligns with its phonetic radical), phonological consistency (whether characters with the same phonetic radical share the same pronunciation), and semantic transparency (whether the whole character's meaning aligns with its semantic radical). The results revealed that sublexical effects existed in the inferior frontal gyrus, precentral and postcentral gyri, temporal lobe, and middle occipital gyrus. Additionally, connectivity from the middle occipital gyrus to the postcentral gyrus and from postcentral gyrus to the fusiform gyrus was associated with the sublexical effects. These findings provide valuable insights into the spatiotemporal dynamics of sublexical processing and object recognition in the brain.




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G-Protein Signaling in Alzheimer's Disease: Spatial Expression Validation of Semi-supervised Deep Learning-Based Computational Framework

Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzheimer's disease (AD) facilitates the identification of new targets for effective treatments. Recently available large-scale multiomics datasets provide opportunities to use computational approaches for such studies. Here, we devised a novel disease gene identification (digID) computational framework that consists of a semi-supervised deep learning classifier to predict AD-associated genes and a protein–protein interaction (PPI) network-based analysis to prioritize the importance of these predicted genes in AD. digID predicted 1,529 AD-associated genes and revealed potentially new AD molecular mechanisms and therapeutic targets including GNAI1 and GNB1, two G-protein subunits that regulate cell signaling, and KNG1, an upstream modulator of CDC42 small G-protein signaling and mediator of inflammation and candidate coregulator of amyloid precursor protein (APP). Analysis of mRNA expression validated their dysregulation in AD brains but further revealed the significant spatial patterns in different brain regions as well as among different subregions of the frontal cortex and hippocampi. Super-resolution STochastic Optical Reconstruction Microscopy (STORM) further demonstrated their subcellular colocalization and molecular interactions with APP in a transgenic mouse model of both sexes with AD-like mutations. These studies support the predictions made by digID while highlighting the importance of concurrent biological validation of computationally identified gene clusters as potential new AD therapeutic targets.




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Main features of the Medium Term Plan 2014-17 (Reviewed) and Programme of Work and Budget 2016-17 are outlined

The 2016-17 Programme of Work and Budget will consolidate the existing actions within the Medium Term Plan and the Strategic Framework, emphasizing areas to reflect recent trends and developments, with [...]