Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us. "Foods: Prediction Models for the Content of Calcium, Boron and Potassium in the Fruit of'Huangguan' Pears Established by Using Near-Infrared Spectroscopy" LINK "Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy" LINK "Rapid recognition of different sources of methamphetamine drugs based on hand-held near infrared spectroscopy and multi-layer-extreme learning machine algorithms" LINK "Rapid determination of viscosity and viscosity index of lube base oil based on near-infrared spectroscopy and new transformation formula" LINK "Simple dilated convolutional neural network for quantitative modeling based on near infrared spectroscopy techniques" LINK "Fast and nondestructive discrimination of fresh tea leaves at different altitudes based on near infrared spectroscopy and various chemometrics methods" LINK "NIR spectroscopy combined with 1D-convolutional neural network for breast cancerization analysis and diagnosis" LINK "Associations between visceral adipose tissue estimates produced by near-infrared spectroscopy, mobile anthropometrics, and traditional body composition …" LINK "Discrimination of Minced Mutton Adulteration Based on Sized-Adaptive Online NIRS Information and 2D Conventional Neural Network. "Fruit detection research based on near-infrared spectroscopy and lightweight neural network" LINK "Honey quality detection based on near-infrared spectroscopy" LINK "Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bug" LINK "Denoising stacked autoencodersbased nearinfrared quality monitoring method via robust samples evaluation" LINK "Visualization research of egg freshness based on hyperspectral imaging and binary competitive adaptive reweighted sampling" LINK "Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China" LINK "Novel broad spectral response perovskite solar cells: A review of the current status and advanced strategies for breaking the theoretical limit efficiency" LINK "Remote Sensing: Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs" LINK "Prognostic value of syntax score, intravascular ultrasound and near-infrared spectroscopy to identify low-risk patients with coronary artery disease 5-year …" LINK

You have likely heard of ChatGPT, the artificial intelligence chatbot that can create original college essays that don't get flagged by plagiarism-detection software. Of course, it can do many things beyond confounding educators and delighting students. It can, for instance, write computer code. And, I discovered, give travel planning advice. To see how useful its travel suggestions might be, I began by asking what there is to see in Uturoa, the main town on the French Polynesian island of Raiatea.

NIR Calibration-Model Services Spectroscopy and Chemometrics News Weekly 33, 2022 NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 33, 2022 NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK Spettroscopia e Chemiometria Weekly News 33, 2022 NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK Near-Infrared Spectroscopy (NIRS) "Comparative Performance of NIR-Hyperspectral Imaging Systems" LINK "Near infrared spectroscopy calibration strategies to predict multiple nutritional parameters of pasture species from different functional groups" LINK "Near-infrared spectroscopy as a tool to assist Sargassum fusiforme quality grading: Harvest time discrimination and polyphenol prediction" LINK "Sensors : Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods" LINK "Development of an amino acid sequence-dependent analytical method for peptides using near-infrared spectroscopy" LINK "NDT model study of crown pear based on near infrared spectroscopy" LINK "Analyzing the Water Confined in Hydrogel Using Near-Infrared Spectroscopy" LINK "Foods : Finite Element Analysis and Near-Infrared Hyperspectral Reflectance Imaging for the Determination of Blueberry Bruise Grading" LINK "Application of near infrared spectroscopy in sub-surface monitoring of petroleum contaminants in laboratory-prepared soils" LINK "Identification of multiple raisins by feature fusion combined with NIR spectroscopy" LINK " … of quality markers for quality control of Zanthoxylum nitidum using ultra-performance liquid chromatography coupled with near infrared spectroscopy" LINK "Karakterisasi Fitokimia Enkapsulasi Nira Tebu Powder dengan Menggunakan Varietas BL, PSDK-923, dan PSBM-901" LINK "Inside the Egg--Demonstrating Provenance Without the Cracking Using Near Infrared Spectroscopy" LINK "Organic resources from Madagascar: Dataset of chemical and near-infrared spectroscopy measurements" LINK "An alternative method for identification of industrial tomato hybrids using NIRS" LINK "Uniformity evaluation of stem distribution in cut tobacco and single cigarette by near infrared spectroscopy" LINK "A General and Scalable Vision Framework for Functional Near-Infrared Spectroscopy Classification" LINK "Near infrared spectroscopy for the pre-cure freezing discrimination of Montanera Iberian dry-cured lomito" LINK "Determination of Moisture and Protein Content in Living Mealworm Larvae (Tenebrio molitor L.) Using Near-Infrared Reflectance Spectroscopy (NIRS)" LINK "Towards Inline Prediction of Color Development for Wood Stained with Chemical Stains Using Near-Infrared Spectroscopy" LINK "Comparison Between Pure Component Modeling Approaches for Monitoring Pharmaceutical Powder Blends with Near-Infrared Spectroscopy in Continuous Manufacturing Schemes" LINK "Potential of NIRS technology for the determination of cannabinoid content in industrial hemp (Cannabis sativa L.)" LINK " A Variable Selection Method Based on Fast Nondominated Sorting Genetic Algorithm for Qualitative Discrimination of Near Infrared Spectroscopy" LINK "Scale invariance in fNIRS as a measurement of cognitive load" LINK "Quantification of Salicylates and Flavonoids in Poplar Bark and Leaves Based on IR, NIR, and Raman Spectra" LINK Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR) "Near-infrared spectroscopy monitoring during endovascular treatment for acute ischaemic stroke" LINK "Keakuratan Teknologi Near Infrared Dalam Mengukur Dan Memetakan Bahan Organik Di Pulau Lombok" LINK "NearInfrared Spectroscopic Characterization of Cardiac and Renal Fibrosis in Fixed and Fresh Rat Tissue" LINK "Application of Fourier transform infrared spectroscopy (FTIR) techniques in the mid-IR (MIR) and near-IR (NIR) spectroscopy to determine n-alkane and long-chain alcohol contents in plant species and faecal samples" LINK Hyperspectral Imaging (HSI) "Detection Storage Time of Mild Bruise's Loquats Using Hyperspectral Imaging" LINK "Determination of plumpness for kernel of semen ziziphi spinosae use of hyperspectral transmittance imaging technology coupled with improved Otsu algorithm" LINK "Prediction of oil content in single maize kernel based on hyperspectral imaging and attention convolution neural network" LINK "Convolutional neural networks for mapping of lake sediment core particle size using hyperspectral imaging" LINK Spectral Imaging "Applied Sciences : Non-Invasive Monitoring of the Thermal and Morphometric Characteristics of Lettuce Grown in an Aeroponic System through Multispectral Image System" LINK Chemometrics and Machine Learning "Rapid quantification of goat milk adulteration with cow milk using Raman spectroscopy and chemometrics" LINK "Plants : Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow" LINK "Near Infrared Spectra Data Analysis by Using Machine Learning Algorithms" LINK "Applied Sciences : Deep-Learning Model Selection and Parameter Estimation from a Wind Power Farm in Taiwan" LINK "Predicting maize LAI in partial least square modeling by continuous wavelet transform and uninformative variable elimination from canopy spectral reflectance" LINK "Machine Learning Algorithms for Protein Physicochemical Component Prediction Using Near Infrared Spectroscopy in Chickpea Germplasm" LINK "NIR Validation and Calibration of Proximate components of available Corn Silage in Bangladesh." So interested people will connect.

"An important shift from a mobile first world to an AI first world," declared Google CEO Sundar Pichai, summarizing the Google I/O 2017 keynote yesterday. His description of the changes underway at his company apply to nearly every business today. Almost all of Google's announcements touched on AI in one way or another. From introducing a second generation of TPU chips to accelerate deep learning for such applications as cancer research and DNA sequencing, to a broad effort to get Google Home on as many screens and devices as possible. The company also shared that it's speech recognition technology was now better than 95 percent accurate.

"Empower bottom-up innovation and amazing things will happen." He was responsible for one of those amazing things: a way to help Spotify users discover new music called Discover Weekly. This tool launched about a year ago; it now has 40 million users and is helping to build the careers of new artists. Newett joined Spotify in 2013, initially working on a team developing a web page with personalized information, news about artists, album releases, and local concerts, along with a recommender system that offered suggestions of albums a user might find appealing. The recommendation feature, Newett recalled, seemed like a good idea, but wasn't heavily used.

Tomorrow is International Cosplay Day, so a quick shout-out to all you creative folks out there who spend so much time stitching together costumes to bring fantasy to life: Y'all are rad! It is very cool to see the myriad ways in which people bring their favorite fictional characters to life, and I have complete respect for the time, dedication and imagination that it takes to cosplay. If any of you are planning on participating, we would love to see pictures and hear about any events you attended! Additionally, and I really, REALLY shouldn't have to say this (or get shouty about it) but don't post things on Public Access if you haven't written them. We do not, ever, in any-freaking-way tolerate plagiarism -- and yes, rephrasing someone else's article word-for-word counts as plagiarism.

There's a myth going around that music geeks are essential to good music curation. Just look at BuzzFeed writer Reggie Ugwu's glowing feature on the "small teams of anonymous, hardcore music fans [racing] to solve the record industry's toughest problem." Indeed, Pandora, Apple, Spotify, Tidal, Google Play, and the rest bend over backwards to make clear how much they rely on music experts, and there seems to be no worse slander than saying a competitor is dependent on algorithms. But do you really need a human to pick your music? In a world when we increasingly trust AI to pick our movies, dating options, email replies, scheduling, and much more?

This article focuses not what the athletes are putting into their bodies, but what they are putting on their bodies and shows how technology affects gears used by them. An hour long lecture by Demis Hassabis, the CEO of DeepMind, where he discusses what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Here, Margaret Boden, a Professor of cognitive science at the University of Sussex, examines what it means to be "creative" and whether we can ever translate this into our computers. Steven Pinker believes there's some interesting gender psychology at play when it comes to the robopocalypse. Could artificial intelligence become evil or are alpha male scientists just projecting?

This week has been AI week here at Engadget, which means we've been examining the variety of ways that artificial intelligence is changing our technological landscape and our society as a whole -- from meeting the bots that play Doom to looking at how AI could change the future of combat, policing and our roles in the workplace to asking why digital assistants often default to female voices and personalities, we've been all-AI, all week. It's been pretty fun, actually. Over in the community section, a quick heads up to our commenters: We've rolled out a "Censor" feature in comment threads which allows us to remove a comment that violates our community guidelines without removing the replies and responses to that comment. So far we've only had to use this feature a handful of times -- largely due to name-calling or cursing -- but this at least gives us the ability to keep a conversation even if the person who started it was a bad actor. Also, if you're registering to be a Public Access member (which you can do here, hint, hint), please be aware that you must answer the specific registrations questions that are asked and please do not answer with joke replies.

Uber will test its fleet of autonomous cars in Pittsburg. Some guy made a bionic hand out of a coffee machine. This article focuses not what the athletes are putting into their bodies, but what they are putting on their bodies and shows how technology affects gears used by them. An hour long lecture by Demis Hassabis, the CEO of DeepMind, where he discusses what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Here, Margaret Boden, a Professor of cognitive science at the University of Sussex, examines what it means to be "creative" and whether we can ever translate this into our computers.