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Technology

Huawei Releases AI App That Translates Emotions into Sounds for the Visually Impaired

Huawei has released facing emotions, an AI-powered app, that translates emotions into sounds for the blind and visually impaired. Developed in collaboration with the Polish blind association, a key group of the blind community who were involved in every step of the process, the application uses the back cameras to scan the face of the person with whom the blind person is talking. AI then processes the identified emotion into a defined sound heard on the phone (or in the earphone the person is wearing), all in a real time and offline mode. Created by blind composer, Tomasz Bilecki, the sounds are short, concise, simple and non-invasive for the user and their environment. Read More

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Industrial Infrastructure

AI-Enabled Drones to Revolutionise Maintenance

Shell Oil company is testing how AI-enabled drones could help prevent costly maintenance problems on expensive equipment while improving worker safety. Flying at a maximum height of about 8,000 feet and weighing about 4 pounds, Shell’s drones will collect images of the Houston facility using cameras and infrared sensors. The data will be analyzed by machine-learning algorithms within a cloud-based platform to identify mechanical or structural issues such as leaks in pipes. The drones are controlled by mobile apps instead of joysticks. The drone’s software can turn two-dimensional images of structures and equipment into three-dimensional ones. With the aid of machine-learning, it could analyze the photographs, as well as thermal imaging data, for anomalies such as water leaks. All the information is then uploaded to a cloud-based platform, making it easier to analyze. Read More

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Healthcare

Microsoft, Taiwan AI Labs Team Up for Genetic Analysis

Microsoft and Taiwan AI Labs have collaborated and unveiled TaiGenomics -- an Artificial Intelligence (AI)-based genetic analysis platform - using Microsoft Azure Cloud computing and storage capabilities. The platform uses AI to process, analyse and draw inferences from vast amounts of medical and genetic data provided by patients and hospitals. TaiGenomics could decrease human error by helping the doctors to predict diseases efficiently. Ethan Tu, founder of Taiwan AI Labs, said that TaiGenomics can help the nation to build a world-class ecology for the precision medicine industry. Further, as part of the partnership, Taiwan AI Labs would also use Microsoft Azure to store huge quantities of processed genetic data. Read More

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Natural Language Processing (NLP)

NLP to Identify Alcohol Misuse

Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised machine learning. The objective of this study is to train and validate an NLP classifier for identifying patients with alcohol misuse. An observational cohort of 1422 adult patients admitted to a trauma center between April 2013 and November 2016. Linguistic processing of clinical notes was performed using the clinical Text Analysis and Knowledge Extraction System. The primary analysis was the binary classification of alcohol misuse. The data corpus comprised 91,045 electronic health record notes and 16,091 features. In the final machine learning classifier, 16 features were selected from the first 24 hours of notes for identifying alcohol misuse. The NLP classifier has adequate predictive validity for identifying alcohol misuse in trauma centers. External validation is needed before its application to augment screening. Read More

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Telecommunications

AI Based App, Can Make Phone Call, Schedule Events, Give Reminders

AI Assis, a Hyderabad city-based startup, formally launched an artificial intelligence-based app, Chitti that would work as a personal, social and networking assistant and run errands for its users. The app which accepts voice as well as typed commands, offers personalised services such as answering queries, make suggestions and recommendations, follow commands among others. The Chief Executive Officer (CEO) of AI Assis, Siva Kumar stated that the app would weed out overwhelming social media information and thereby the user saves time from the information search. Read More

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Human Resource

Start-up by ex-Googlers Uses AI to Make People Happier at Work

Aiming to make employees feel happier at work, a start-up led by three ex-Googlers, is using Artificial Intelligence to push individual employees into small actions that improve staffers' satisfaction and foster better teamwork. The start-up also aims to bring data-driven insights to other companies by conducting surveys using AI to identify behavioral changes that are capable of making the biggest impact on elevating a workforce’s happiness. The report stated that Humu is based on the economist Richard Thaler's Nobel Prize-winning research into how people often make decisions because of what is easier rather than what is in their best interest, and how a well-timed nudge can prompt them to make better choices. Read More

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Security

Police to Use AI and Mobile Computing to Analyse Crime Data

Odisha police have announced to deploy latest technologies including AI, Data Analytics and Mobile Computing to revamp analysis of criminal data. AI will produce a catalogue to support investigation teams, thus directing their investigation on the right path. Reportedly, AI empowers an instant scan of police database and helps the team in identifying criminals through faces and photographs, previous criminal record or FIRs or exploring links of criminal gangs, scanning fingerprints and voice samples and identify the name of culprits involved in various illegitimate activities. As per the state’s Director General of Police, this will help officers make a quick and accurate search of a particular crime’s modus operandi, similarity between offences at different places and details about arrested persons from the digital database. Police stations across the state had started digitizing FIRs, case files and other crime records since 2005. Read More

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Healthcare

Researchers Develop Artificial Intelligence that can Identify Cancer Cells

Scientists from Osaka University in Japan have developed AI that can identify different types of cancers based on microscopy images of their cells. The AI was also able to determine whether the cancer cells were resistant to radiation, and further learned the differences between human and animal cancers. The type of AI developed for the cell identification is called a convolutional neural network (CNN); it’s loosely based on the connectivity patterns used by neurons in the brain and primarily used for classifying images. As described in their publication, the scientists used a training set of 10,000 images each of human cervical cancer cells (ME-180) and mouse squamous cancer cells (NR-S1), e.g., the thin, flat types of cells found on the surface of the skin and thin linings around various organs throughout the body. They also included images of radioresistant clones with the set, and ultimately obtained a 96.0% accuracy in a 2,000 image test. Read More

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“Quantum Computing, a revolution in technology, has shown great promise towards solving complex computing problems currently outside the capabilities of current computers. Though in its infancy, we at Decimal Point Analytics strongly believe that it is going to grow exponentially in the near future. It holds the potential not only to boost the AI revolution but also transform the way data is synthesized. The articles on Quantum computing will give an insight into the recent developments in this space.”

 
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Quantum Computing

Two Qubits Could Be Better Than One in Quantum Computing

Scientists have combined two types of qubit on a single device, potentially overcoming some of the barriers to practical quantum computing. Quantum computing has problems resulting in difficulties to make it scalable and practical. Quantum devices have to be able to be initialized quickly, that is, the qubits need to be put into a certain state rapidly, or the machine will be too slow. They then have to retain coherence in the entanglement between two quantum states long enough to make a measurement. And then the ultimate state of the qubit must be able to be read out quickly. Researchers have gotten closer by combining different qubits with a type of quantum gate known as a controlled phase gate. The first is a single-spin qubit, called a Loss-DiVincenzo qubit, which is in a very clear state ideal for calculations and has a long decoherence time. But they cannot be initialized or read quickly. The second qubit is a singlet-triplet qubit, which can be quickly initialized and read out, but quickly becomes decoherent. The gate allows spin states to be entangled between the qubits in a time fast enough to maintain coherence, allowing the state of the single-spin qubit to be read out by the fast singlet-triplet qubit measurement. Read More

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