Panel wants DOJ’s take on rape claim

first_imgThe suit, filed in U.S. District Court in Beaumont, claims Jones lived in a coed barracks and, after enduring harassment from some of the men in the quarters, was drugged and raped July 28, 2005. Her attackers were Halliburton and KBR firefighters, the suit claims. The petition says the facility was under direct control of the U.S. government, KBR and Halliburton, collectively. Jones’ attorney, L. Todd Kelly, declined to say where Jones was living now because she fears for her safety. He declined to elaborate. Jones’ Web site highlights her nonprofit foundation to help fellow contract workers who may have been sexually assaulted, and displays her “therapeutic” still-life paintings that she offers to paint on commission. The site also mentions a screenplay of her story in Iraq. In a statement, KBR said it couldn’t comment on specifics of the case but that the safety and security of its employees were its top priority. Halliburton says it is improperly named in the matter and expects to be dismissed from the case. “It would be inappropriate for Halliburton to comment on the merits of a matter affecting only the interest of KBR,” the oil-field-services company said in a statement. Rep. Ted Poe, R-Texas, who signed Conyers’ letter, sent his own inquiry to Mukasey on Monday. He said Jones’ father contacted his office after the alleged rape and said his daughter reported KBR/Halliburton was holding her in a shipping container without food and water. Poe said he then contacted the State Department, which dispatched agents to rescue Jones.160Want local news?Sign up for the Localist and stay informed Something went wrong. Please try again.subscribeCongratulations! You’re all set! AD Quality Auto 360p 720p 1080p Top articles1/5READ MOREWhicker: Clemson demonstrates that it’s tough to knock out the champConyers also seeks clarification on a statement from KBR, the military contractor that split from Halliburton in April, that says it had initiated investigations into the alleged assault but later halted the probe. KBR has said it was “instructed to cease by government authorities because they were assuming sole responsibility for the criminal investigations.” Justice Department spokesman Peter Carr said Tuesday that the agency was reviewing Conyers’ letter. “The department is investigating this matter, and because it’s an ongoing investigation we are unable to comment further,” Carr said. Jones’ case got renewed attention this week after ABC News previewed a report of the allegations it plans to air on “20/20” next month. Jones began working for KBR as an administrative assistant in 2004 when she was 19, but later transferred to Iraq with another Halliburton subsidiary, according to her lawsuit. HOUSTON – The chairman of the House Judiciary Committee asked the Justice Department on Tuesday to give a full account of its investigation into the alleged rape of a female contract worker in Iraq two years ago. Jamie Leigh Jones, a former Conroe resident, filed a federal lawsuit in May against Halliburton Co., its former subsidiary, KBR Inc., and others, saying she was raped by co-workers while working for a Halliburton subsidiary at Camp Hope, Baghdad, in 2005. The Associated Press usually does not identify people who say they have been sexually assaulted, but Jones’ face and name have been broadcast by ABC News and appear on her own Web site. In a letter dated Tuesday, Rep. John Conyers, D-Mich., asked Attorney General Michael Mukasey whether his office had investigated Jones’ claims and whether the Justice Department has jurisdiction to prosecute under military provisions of the USA Patriot Act. last_img read more

Nunavut man says triple murder done in selfdefence

first_imgAPTN National NewsChris Bishop, the man convicted of killing three people and wounding two others with a semi-automatic rifle in Cambridge Bay, Nunavut, has been granted an appeal.Bishop is scheduled to appear in Nunavut court on Sept. 25.Bishop was sentenced to life in prison in 2010 for the 2007 killings. During the trial, no defence witnesses were called to the stand.Bishop’s lawyer says that the victims were trying to break into his home and that he was justified in firing 30 bullets in his own defence.The three appeal judges will determine if there is enough evidence to justify a new trial.last_img

On the trail with NWTs grueling Walk to Tuk Challenge

first_imgAPTN National NewsIt’s the longest and the biggest outdoor physical challenge in the Northwest Territories and it’s going on right now.APTN’s Iman Kassam takes us on the Walk to Tuk Challenge.last_img

Of wrinkles and wires Capillarityinduced skin folding spontaneously forms aligned DNA nanowire

first_img , Nanotechnology Fig. 2. Capillarity-induced skin folding. (A) Optical microscope image of an array of wrinkles and folds around the boundary of a water droplet placed on a wrinkled surface (t = 20 min, ε ≈ −0.03). The blue arrow indicates a water filament. (B) Schematic illustrations of the wrinkle-to-fold transition of the skin due to surface tension forces of water. Representative AFM images and the line profiles are shown below the illustrations. (C) Schematic illustrations and optical microscope images showing the evolution of localized folds with increasing ε (t = 10 min). A water droplet was placed on the surface before compression; the blue arrow and red triangles indicate the formation of a water filament and localized folds, respectively. (D and E) The peak-to-peak distance of wrinkles (LW) and folds (LF) and the length (l) and spacing (s) of the folds as a function of t. (E, Inset) Schematic illustration showing the top view of an array of folds at the boundary. (F) LW and LF as a function of |ε| (t = 3 min). (F, Inset) Line profiles of the folds for |ε| ≈ 0.02, 0.08, and 0.17. (Scale bars: A, 10 μm; B, 5 μm; and C, 50 μm.). Credit: Nagashimaa S, Haa HD, Kima DH, Košmrljb A, Stone HA, Moon M-W (2017) Spontaneous formation of aligned DNA nanowires by capillarity-induced skin folding. Proc Natl Acad Sci USA 114:24 6233-6237. Journal information: Proceedings of the National Academy of Sciences “This phenomenon can be considered a lithography-free method that allows for ready fabrication of arrays of nanomaterials, where their size, length, and periodicity could robustly be tuned,” he continues. “Moreover, not only water but other liquids could be used to carry nanomaterials and to induce the wrinkle-to-fold transition.”Moon describes several examples of potential de novo fabrication and analysis techniques, including nanoscale lithography, nanoimprint, growth by chemical vapor deposition, and chemical reaction. “Our method can potentially be used for the fabrication of 1-dimensional nanowires or nanoarrays for application to DNA analysis with very dilute or small amounts of DNA; DNA templates as new metal or ceramic nanostructures; and DNA treatment devices for healing modified DNA. In addition, one can adopt this technique to handle protein, blood, or nanoparticles at nanoscale.”Košmrlj and Stone tell Phys.org that one area of planned research is focused on nonlinear analysis and modeling for improved quantitative understanding of the capillarity-induced wrinkle-to-fold transition. “Since our system is composed of the mechanical behavior of the fold transition triggered by liquid surface tension, the wrinkle-to-fold transition that we’ve found is associated with large deformations where conventional linear elasticity theory does not apply. While the basic mechanisms can be explained within the linear theory, quantitative comparison with experiments can only be achieved by taking into account geometrical and material nonlinearities. We are therefore performing numerical simulations by coupling liquid surface tension and solid deformation, as well as performing analysis with perturbation series, where nonlinearities of elastic structures can be studied systematically.””I also think that the challenges ahead are to find how to achieve larger areas for DNA pattern formation,” Moon says. “In fact, our latest results—obtained after this PNAS article was accepted—shows some impressive progress for the region with wrinkle-to-fold transition in larger areas, such as the entire area underneath a water droplet. Another area to be studied, Moon continues, concerns the fact that biological morphogenesis of skin–substrate systems are ubiquitous in organisms where water is a major constituent. “We’re trying to find situations where our findings are applicable. Active collaborations with experts in the field would be helpful.” The researchers might also investigate materials other than PDMS. “Yes. other polymers can work if they possess the basic factors to govern the fold transition, these being the thinness of the nano-skin and soft body materials, and surface hydrophilicity to ensure sufficient surface reaction with liquid,” Moon notes. Assistant Professor and lead author So Nagashima, Assistant Professor Andrej Košmrlj, Donald R. Dixon ’69 and Elizabeth W. Dixon Professor Howard A. Stone, and Principal Research Scientist Myoung-Woon Moon discussed the paper they and their co-authors published in Proceedings of the National Academy of Sciences. “I think that the most challenging aspect of devising our method for utilizing a thin skin template that responds to water by dynamically changing its surface morphology was finding the conditions where the wrinkle-to-fold transition occurs,” Moon tells Phys.org. “The critical conditions as a function of the applied strain, initial wrinkle geometries, and thickness of the skin layer determined by oxygen plasma treatment duration were difficult to find.” Moon adds that the observation technique for the dynamic transition was limited to only optical microscopes whose highest optical resolution falls between 100 to 1000 nm in the width of nanowires, this being due to the dynamic transition taking place at the submicron scale.When inducing a template surface wrinkle-to-fold transition by exploiting the capillary forces of water containing DNA molecules, Stone points out, the observation that water changes the wrinkle-to-fold transition is new. “As far as we know, ours is the first study to show this effect, as is demonstrating one use of such folds for the alignment of DNA. Moreover, control of surface tension or resultant capillary forces and the area for fold formation is relatively hard—and by adding DNA molecules to water, it appears that the surface tension is changed, so the fold transition length was shorter.”Template preparation used an oxygen plasma treatment of prestretched polydimethylsiloxane (or PDMS, a polymeric organosilicon compound) substrates for varying durations. “In fact,” Moon explains, “the manipulation of PDMS with prestretching strain is a relatively well-developed method as is the oxygen plasma treatment: both have been discussed in the literature. We can make the samples with various sizes of a few millimeters to a few centimeters, which can be also made on much larger area.” Moon notes that the researchers can also vary polydimethylsiloxane’s mechanical properties—to make it more stretchable, soft or flexible—by changing the ratio of elastomer and cross-linker for PDMS preparation. Fig. 1. Spontaneous formation of aligned DNA nanowires. (A) Schematic illustrations of the spontaneous formation of an array of DNA nanowires by the skin folding induced by water filaments containing DNA molecules. (B) Sequential optical microscope images of a droplet of DNA solution spreading over wrinkles (t = 5 min, ε ≈ −0.03); the wrinkle-to-fold transition occurs at the boundary and propagates with the edge of the droplet. (C) AFM image of an array of DNA nanowires extending from the boundary (t = 2 min, ε ≈ −0.02). The line profiles for each region are shown next to the image. (Scale bars: B, 50 μm and C, 4 μm.). Credit: Nagashimaa S, Haa HD, Kima DH, Košmrljb A, Stone HA, Moon M-W (2017) Spontaneous formation of aligned DNA nanowires by capillarity-induced skin folding. Proc Natl Acad Sci USA 114:24 6233-6237. Citation: Of wrinkles and wires: Capillarity-induced skin folding spontaneously forms aligned DNA nanowire (2017, June 19) retrieved 18 August 2019 from https://phys.org/news/2017-06-wrinkles-wires-capillarity-induced-skin-spontaneously.html Other possible future research interests and additional innovations mentioned by the authors include:- theoretical analysis to elucidate the underlying physics related to the water-induced surface folding- exploit the underlying physics to develop a robust and mass fabrication method for inducing the wrinkle-to-fold transition- find and discuss morphological changes in nature where water is likely a key factor- apply the current study’s results to DNA analysis or DNA drug devices- 2-D/3-D sensors, diagnostic tools, and drug-release systems- templates for fabricating 1-dimensional nanomaterials- methods for local patterning”I believe that this work is beneficial to materials science for nanowire templates, mechanics for fluidic channels, and biology for quantitative analysis of DNA or other biomolecules,” Moon concludes. Explore further , Journal of Biomedicine and Biotechnologycenter_img More information: Spontaneous formation of aligned DNA nanowires by capillarity-induced skin folding, PNAS (2017) 114:24 6233-6237, doi:10.1073/pnas.1700003114Related:1DNA nanowire fabrication, Nanotechnology (2006) 17:R14m https://core.ac.uk/download/pdf/1559975.pdf2DNA-Templated Self-Assembly of Protein Arrays and Highly Conductive Nanowires, Science (2003) 301:5641 1882-1884, doi:10.1126/science.10893893Nanowire-Based Sensors for Biological and Medical Applications, IEEE Transactions on NanoBioscience (2016) 15:3 186-199, doi:10.1109/TNB.2016.25282584DNA-Based Applications in Nanobiotechnology, Journal of Biomedicine and Biotechnology (2010) Article ID 715295, doi:10.1155/2010/7152955Nanowire nanosensors, Materials Today (2005) 8:5, doi:10.1016/S1369-7021(05)00791-1 A key aspect of the study was confirming that the new method reliably manipulates DNA nanowire size, geometry, and alignment. “By adjusting the conditions for stretching strain, plasma treatment duration, and post-compression of the stretched PDMS, DNA nanowires can be a half cylinder, a perfect cylinder, or undulated wire shape,” Moon tells Phys.org. “By changing the wrinkle geometries such as the amplitude—which is governed by the strain—one can control the distance between wires in the fold channel.” Wider distances between wires, he continues, can be accomplished by compressing the PDMS less, while compressing the substrate more yields smaller distances.To address these challenges, the scientists discovered a transformation resulting from capillary forces that act at the edge of a water droplet that can, with only 1% compression, transform wrinkles into folds, which in the absence of a liquid drop form only at very high (~30%) compression. In addition, Moon adds, smaller substances such as biomolecules or nanoparticles can follow the water channel to form aligned 1-dimensional nanostructures. “Smaller is better. Less is more. We’ve found that the wrinkle-to-fold transition takes place more easily when the following factors become smaller: compression level, skin thickness, droplet volume, size of the sample surface, and static contact angles of droplets.”Based on their findings, the authors stated that their approach could lead to new ways of fabricating functional materials. “Our key finding is that one can change wrinkles into localized folds by simply exploiting the capillary forces of water on wrinkled surfaces under very small strain of about 1% in compression,” Nagashima tells Phys.org. “Recent studies reported in the literature have demonstrated that such wrinkle-to-fold transitions can help develop systems that dynamically change their properties according to the surface morphology. However, inducing the transition in the absence of water is difficult to achieve in practice because, in general, large compression needs to be applied to the skin-substrate system, which hinders wider applications. Our study reveals that even 1% of compression, which is the critical level for creating wrinkles in our case, is large enough to trigger the transition to folds locally when water is present.” Nagashima notes that while the compression level required to induce the transition might differ according to the skin-film system used, only a small compression level would be necessary in combination with water. Observation of the phase transition of liquid crystal defects for the first time Fig. 3. Tunable DNA nanowires. (A) Bright- and dark-field optical microscope images of DNA nanowires created by the capillarity-induced wrinkle-to-fold transition. After evaporation of the droplet, the strain was adjusted to see the structure inside the folds. (B) Confocal microscope images of an array of DNA nanowires extending from the boundary to the locations indicated by the yellow triangles. (C) AFM images of DNA nanowires obtained using wrinkles prepared with various ε (t = 10 min). After the folds were formed, the strain was adjusted to ε ≈ 0.00. The line profiles of the nanowires indicated by the green dotted lines are shown in the images. (D) Height of the nanowires as a function of t (ε ≈ −0.03). (E) Changes in shape of a DNA nanowire from straight to wrinkled with an increase in tensile strain. (F) The wavelength (black symbols) and amplitude (orange symbols) of the wrinkled DNA nanowires as a function of applied tensile strain. (G and H) The line profiles of the DNA nanowire and the skin surface before and after application of the tensile strain (i.e., ε ≈ −0.02 and 0.05, respectively). The color of the profiles corresponds to that of the dotted lines indicated in the AFM images shown in E. (Scale bars: A and B, 10 μm; C, 2 μm; and E, 1 μm.). Credit: Nagashimaa S, Haa HD, Kima DH, Košmrljb A, Stone HA, Moon M-W (2017) Spontaneous formation of aligned DNA nanowires by capillarity-induced skin folding. Proc Natl Acad Sci USA 114:24 6233-6237. , Science (Phys.org)—Nanowires fashioned from DNA (deoxyribonucleic acid)—one of several type of molecular nanowires incorporating repeating molecular units—are exactly that: Geometrically wire-like DNA-based nanostructures defined variously as having a 1~10 nm (10−9 m) diameter or a length-to-diameter ratio >1000. While nanowires can be made from several organic and inorganic materials, DNA nanowires have been shown to provide a range of valuable applications in programmed self-assembly1,2 of functional materials—including metallic and semiconductor nanowires for use in electronic devices—as well as biological, medical, and genetic analysis applications3,4,5. That being said, DNA nanowire adoption has been limited due to historical limitations in the ability to control their structural parameters—specifically, size, geometry and alignment. Recently, however, scientists at Korea Institute of Science and Technology and Princeton University leveraged the capillary forces of water containing DNA molecules to demonstrate size-controllable straight or undulated aligned DNA nanowires that were spontaneously formed by water entering wrinkled channels of a compressed thin skin on a soft substrate, which subsequently induced a wrinkle-to-fold transition. © 2017 Phys.org This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.last_img read more

Season special

first_imgThis season, immerse in mesmerising regional handloom weaves like Maheshwari, Kota, Ikats and fine Bandhini along with block printed textiles in Ajrakh, Bagru and Dabu styles. Splendid garments, fabrics and furnishings embellished with regional embroideries will be available in Ari, Sindhi, Lambani, Sozni and Applique. Organic cottons and naturally dyed children’s clothing with eco herbal essential oils and designer combs made out of neem will showcase versatility of natural materials. Also Read – ‘Playing Jojo was emotionally exhausting’Traditional leather footwear along with tribal, bead and thread based jewellery that shall surely leave you asking for more. Pottery, wood carving, cotton dhurries will feature along with environment-friendly handmade Moonj baskets along with Candles, Sikki and Paper Mache decoratives.Regional painting forms like Madhubani, Kalamkari and Tanjore shall further leave you spellbound. Ruaab-sewa brings you craft products from Ethiopia, for the very first time. Hand-spun cotton handlooms, carved leather bags and purses, decorative clay items and painted pottery tea-sets along with jewellery made from indigenous Ethiopian wood and a selection of local Ethiopian silver jewellery will be showcased. It will be a cross cultural exchange of traditions and discover the hospitality of their ritual ‘Coffee Ceremony’ using their famous “Bunna” coffee. Also Read – Leslie doing new comedy special with NetflixOne of the many unique Indian crafts represented, will be Rogan Paintings by Md. Jabbar A. Khatri from Kutch, Gujarat. The rare technique is only practiced by 10 people in the village of Nirona in Kutch, and the importance for giving these artists a strong market platform was evident in Prime Minister, Narendra Modi, choosing a Rogan Painting to be India’s gift to US President, Barrack Obama.Dastkar, a registered NGO working with crafts and craftspeople for over three decades, strongly believes in crafts as a catalytic tool for social and economic empowerment and earning. It aims to  break the barriers that separate craftspeople from mainstream urban markets, reviving and revitalizing both the craft and the community.Where: The Nature Bazaar Avenue, Kisan Haat, near Chhatarpur metro stationWhen:  February 12 – Feb 23 Timings: 11:00 a.m. – 7:00 p.m. Entry: Rs. 20last_img read more

16yearold American allegedly raped by FB friend

first_imgA 16-year-old girl from USA, who stays in Gurgaon with her mother, alleged that she was raped by a youth of African origin whom she reportedly met over a social networking site around six months ago.The accused has been identified as David (22) from his Facebook account. He is presently on a run and the girl could not provide any more details to the police beyond what is there in the accused youth’s Facebook account. A case has been registered under the Protection of Children from Sexual Offences (POCSO) Act and relevant sections of IPC. The police are looking for David despite being entirely clueless about his whereabouts. Also Read – Company director arrested for swindling Rs 345 croreThe girl belongs to Texas in USA. She lives at an apartment in Gurgaon sector 47 with her mother, who works as an executive in a multinational company. The accused and the girl exchanged their contact details over Facebook around six months ago, after which they met each other thrice. On March 16, the accused took the girl to a hotel in Gurgaon sector 38, where he allegedly sexually assaulted her, said a police official.After the incident, the girl went to a hospital in Delhi on her own and got her medical examination done. Being confirmed about sexual assault, she narrated her ordeal to her mother, who later called up the police control room and reported to the police.last_img read more

7 AI tools mobile developers need to know

first_imgAdvancements in artificial intelligence ( AI) and machine learning has enabled the evolution of mobile applications that we see today. With AI, apps are now capable of recognizing speech, images, and gestures, and translate voices with extraordinary success rates. With a number of apps hitting the app stores, it is crucial that they stand apart from competitors by meeting the rising standards of consumers. To stay relevant it is important that mobile developers keep up with these advancements in artificial intelligence. As AI and machine learning become increasingly popular, there is a growing selection of tools and software available for developers to build their apps with. These cloud-based and device-based artificial intelligence tools provide developers a way to power their apps with unique features. In this article, we will look at some of these tools and how app developers are using them in their apps. Caffe2 – A flexible deep learning framework Source: Qualcomm Caffe2 is a lightweight, modular, scalable deep learning framework developed by Facebook. It is a successor of Caffe, a project started at the University of California, Berkeley. It is primarily built for production use cases and mobile development and offers developers greater flexibility for building high-performance products. Caffe2 aims to provide an easy way to experiment with deep learning and leverage community contributions of new models and algorithms. It is cross-platform and integrates with Visual Studio, Android Studio, and Xcode for mobile development. Its core C++ libraries provide speed and portability, while its Python and C++ APIs make it easy for you to prototype, train, and deploy your models. It utilizes GPUs when they are available. It is fine-tuned to take full advantage of the NVIDIA GPU deep learning platform. To deliver high performance, Caffe2 uses some of the deep learning SDK libraries by NVIDIA such as cuDNN, cuBLAS, and NCCL. Functionalities Enable automation Image processing Perform object detection Statistical and mathematical operations Supports distributed training enabling quick scaling up or down Applications Facebook is using Caffe2 to help their developers and researchers train large machine learning models and deliver AI on mobile devices. Using Caffe2, they significantly improved the efficiency and quality of machine translation systems. As a result, all machine translation models at Facebook have been transitioned from phrase-based systems to neural models for all languages. OpenCV – Give the power of vision to your apps Source: AndroidPub OpenCV short for Open Source Computer Vision Library is a collection of programming functions for real-time computer vision and machine learning. It has C++, Python, and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. It also supports the deep learning frameworks TensorFlow and PyTorch. Written natively in C/C++, the library can take advantage of multi-core processing. OpenCV aims to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. The library consists of more than 2500 optimized algorithms including both classic and state-of-the-art computer vision algorithms. Functionalities These algorithms can be used for the following: To detect and recognize faces Identify objects Classify human actions in videos Track camera movements and moving objects Extract 3D models of objects Produce 3D point clouds from stereo cameras Stitch images together to produce a high-resolution image of an entire scene Find similar images from an image database Applications Plickers is an assessment tool, that lets you poll your class for free, without the need for student devices. It uses OpenCV as its graphics and video SDK. You just have to give each student a card called a paper clicker, and use your iPhone/iPad to scan them to do instant checks-for-understanding, exit tickets, and impromptu polls. Also check out FastCV BoofCV TensorFlow Lite and Mobile – An Open Source Machine Learning Framework for Everyone Source: YouTube TensorFlow is an open source software library for building machine learning models. Its flexible architecture allows easy model deployment across a variety of platforms ranging from desktops to mobile and edge devices. Currently, TensorFlow provides two solutions for deploying machine learning models on mobile devices: TensorFlow Mobile and TensorFlow Lite. TensorFlow Lite is an improved version of TensorFlow Mobile, offering better performance and smaller app size. Additionally, it has very few dependencies as compared to TensorFlow Mobile, so it can be built and hosted on simpler, more constrained device scenarios. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API. But the catch here is that TensorFlow Lite is currently in developer preview and only has coverage to a limited set of operators. So, to develop production-ready mobile TensorFlow apps, it is recommended to use TensorFlow Mobile. Also, TensorFlow Mobile supports customization to add new operators not supported by TensorFlow Mobile by default, which is a requirement for most of the models of different AI apps. Although TensorFlow Lite is in developer preview, its future releases “will greatly simplify the developer experience of targeting a model for small devices”. It is also likely to replace TensorFlow Mobile, or at least overcome its current limitations. Functionalities Speech recognition Image recognition Object localization Gesture recognition Optical character recognition Translation Text classification Voice synthesis Applications The Alibaba tech team is using TensorFlow Lite to implement and optimize speaker recognition on the client side. This addresses many of the common issues of the server-side model, such as poor network connectivity, extended latency, and poor user experience. Google uses TensorFlow for advanced machine learning models including Google Translate and RankBrain. Core ML – Integrate machine learning in your iOS apps Source: AppleToolBox Core ML is a machine learning framework which can be used to integrate machine learning model in your iOS apps. It supports Vision for image analysis, Natural Language for natural language processing, and GameplayKit for evaluating learned decision trees. Core ML is built on top of the following low-level APIs, providing a simple higher level abstraction to these: Accelerate optimizes large-scale mathematical computations and image calculations for high performance. Basic neural network subroutines (BNNS) provides a collection of functions using which you can implement and run neural networks trained with previously obtained data. Metal Performance Shaders is a collection of highly optimized compute and graphic shaders that are designed to integrate easily and efficiently into your Metal app. To train and deploy custom models you can also use the Create ML framework. It is a machine learning framework in Swift, which can be used to train models using native Apple technologies like Swift, Xcode, and Other Apple frameworks. Functionalities Face and face landmark detection Text detection Barcode recognition Image registration Language and script identification Design games with functional and reusable architecture Applications Lumina is a camera designed in Swift for easily integrating Core ML models – as well as image streaming, QR/Barcode detection, and many other features. ML Kit by Google – Seamlessly build machine learning into your apps Source: Google ML Kit is a cross-platform suite of machine learning tools for its Firebase mobile development platform. It comprises of Google’s ML technologies, such as the Google Cloud Vision API, TensorFlow Lite, and the Android Neural Networks API together in a single SDK enabling you to apply ML techniques to your apps easily. You can leverage its ready-to-use APIs for common mobile use cases such as recognizing text, detecting faces, identifying landmarks, scanning barcodes, and labeling images. If these APIs don’t cover your machine learning problem, you can use your own existing TensorFlow Lite models. You just have to upload your model on Firebase and ML Kit will take care of the hosting and serving. These APIs can run on-device or in the cloud. Its on-device APIs process your data quickly and work even when there’s no network connection. Its cloud-based APIs leverage the power of Google Cloud Platform’s machine learning technology to give you an even higher level of accuracy. Functionalities Automate tedious data entry for credit cards, receipts, and business cards, or help organize photos. Extract text from documents, which you can use to increase accessibility or translate documents. Real-time face detection can be used in applications like video chat or games that respond to the player’s expressions. Using image labeling you can add capabilities such as content moderation and automatic metadata generation. Applications A popular calorie counter app, Lose It! uses Google ML Kit Text Recognition API to quickly capture nutrition information to ensure it’s easy to record and extremely accurate. PicsArt uses ML Kit custom model APIs to provide TensorFlow–powered 1000+ effects to enable millions of users to create amazing images with their mobile phones. Dialogflow – Give users new ways to interact with your product Source: Medium Dialogflow is a Natural Language Understanding (NLU) platform that makes it easy for developers to design and integrate conversational user interfaces into mobile apps, web applications, devices, and bots. You can integrate it on Alexa, Cortana, Facebook Messenger, and other platforms your users are on. With Dialogflow you can build interfaces, such as chatbots and conversational IVR that enable natural and rich interactions between your users and your business. It provides this human-like interaction with the help of agents. Agents can understand the vast and varied nuances of human language and translate that to standard and structured meaning that your apps and services can understand. It comes in two types: Dialogflow Standard Edition and Dialogflow Enterprise Edition. Dialogflow Enterprise Edition users have access to Google Cloud Support and a service level agreement (SLA) for production deployments. Functionalities Provide customer support One-click integration on 14+ platforms Supports multilingual responses Improve NLU quality by training with negative examples Debug using more insights and diagnostics Applications Domino’s simplified the process of ordering pizza using Dialogflow’s conversational technology. Domino’s leveraged large customer service knowledge and Dialogflow’s NLU capabilities to build both simple customer interactions and increasingly complex ordering scenarios. Also check out Wit.ai Rasa NLU Microsoft Cognitive Services – Make your apps see, hear, speak, understand and interpret your user needs Source: Neel Bhatt Cognitive Services is a collection of APIs, SDKs, and services to enable developers easily add cognitive features to their applications such as emotion and video detection, facial, speech, and vision recognition, among others. You need not be an expert in data science to make your systems more intelligent and engaging. The pre-built services come with high-quality RESTful intelligent APIs for the following: Vision: Make your apps identify and analyze content within images and videos. Provides capabilities such as image classification, optical character recognition in images, face detection, person identification, and emotion identification. Speech: Integrate speech processing capabilities into your app or services such as text-to-speech, speech-to-text, speaker recognition, and speech translation. Language: Your application or service will understand the meaning of the unstructured text or the intent behind a speaker’s utterances. It comes with capabilities such as text sentiment analysis, key phrase extraction, automated and customizable text translation. Knowledge: Create knowledge-rich resources that can be integrated into apps and services. It provides features such as QnA extraction from unstructured text, knowledge base creation from collections of Q&As, and semantic matching for knowledge bases. Search: Using Search API you can find exactly what you are looking for across billions of web pages. It provides features like ad-free, safe, location-aware web search, Bing visual search, custom search engine creation, and many more. Applications To safeguard against fraud, Uber uses the Face API, part of Microsoft Cognitive Services, to help ensure the driver using the app matches the account on file. Cardinal Blue developed an app called PicCollage, a popular mobile app that allows users to combine photos, videos, captions, stickers, and special effects to create unique collages. Also check out AWS machine learning services IBM Watson These were some of the tools that will help you integrate intelligence into your apps. These libraries make it easier to add capabilities like speech recognition, natural language processing, computer vision, and many others, giving users the wow moment of accomplishing something that wasn’t quite possible before. Along with choosing the right AI tool, you must also consider other factors that can affect your app performance. These factors include the accuracy of your machine learning model, which can be affected by bias and variance, using correct datasets for training, seamless user interaction, and resource-optimization, among others. While building any intelligent app it is also important to keep in mind that the AI in your app is solving a problem and it doesn’t exist because it is cool. Thinking from the user’s perspective will allow you to assess the importance of a particular problem. A great AI app will not just help users do something faster, but enable them to do something they couldn’t do before. With the growing popularity and the need to speed up the development of intelligent apps, many companies ranging from huge tech giants to startups are providing AI solutions. In the future we will definitely see more developer tools coming into the market, making AI in apps a norm. Read Next 6 most commonly used Java Machine learning libraries 5 ways artificial intelligence is upgrading software engineering Machine Learning as a Service (MLaaS): How Google Cloud Platform, Microsoft Azure, and AWS are democratizing Artificial Intelligencelast_img read more