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Healthcare

AI Predicts the Survival Rate of Ovarian Cancer Patients

Figuring out the survival rate of cancer patients relies on several tests and it can be difficult for clinicians to determine the prognosis. But a newly developed AI could give them a big leg up. Scientists at Imperial College, London and the University of Melbourne developed a piece of machine learning software that can predict the prognosis of ovarian cancer patients — and that too at a higher accuracy than conventional methods. The researchers developed a “radiomic prognostic vector” (RPV), a piece of software that looks at four biological characteristics of tumors including structure, shape, size, and genetic makeup in CT scans. The RPV also “reliably identifies” the 5.0% of patients that normally only have two years to live. By identifying them early on, they could improve prognosis and optimize treatment plans for those patients. The software turned out to be four times as accurate at predicting outcomes when compared to conventional methods in an initial trial that examined samples from 364 women. Read More

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Logistics

AI can Bring Supply Chains to New Frontiers

AI can enable exceptional agility and precision in supply chains, regardless of the industry. AI surpasses human capacity in its ability to handle the immense volume of data generated by a typical supply chain. Supply chain managers can apply the capabilities of AI to analyze and track data, clean it, detect anomalies, and generate predictions to improve and connect the supply chain from the first to the last mile. AI technology is also essential to planning transportation routes for containers when there is severe weather in the forecast. In this situation, a modern, digital supply chain would be able to quickly reroute containers to circumvent the weather because the supply chain technology took into account data from accurate weather forecasts. Read More

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Healthcare

Novel AI Toolkit Can Analyse How Pathogens Infect Us

Scientists have developed a new AI-driven platform that can analyse how pathogens infect our cells. The platform, called HRMAn is open-source, easy-to-use and can be tailored for different pathogens. HRMAn uses deep neural networks to analyse complex patterns in images of pathogen and human (‘host’) cell interactions, pulling out the same detailed characteristics that scientists do by-hand. To demonstrate the power of HRMAn, the team used it to analyse the body's response to Toxoplasma gondii, a parasite that is thought to be carried by more than a third of the world's population. Researchers collected over 30,000 microscope images of five different types of Toxoplasma-infected human cells and loaded them into HRMAn for analysis. HRMAn detected and analysed over 175,000 pathogen-containing cellular compartments, providing detailed information about the number of parasites per cell, the location of the parasites within the cells, and how many cell proteins interacted with the parasites, among other variables. The team also used HRMAn to analyse Salmonella enterica, a bacterial pathogen 16 times smaller than Toxoplasma, demonstrating its versatility for studying different pathogens. Read More

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Healthcare

AI Platform Helps Predict Progression of Neurodegenerative Diseases

BGN Technologies, the tech transfer company of Beersheba’s Ben-Gurion University, has unveiled an AI-based platform to monitor and predict the progression of neurodegenerative diseases, such as Amyotrophic Lateral Sclerosis (ALS). The platform analyses demographic and clinical data of ALS patients using machine learning and data mining algorithms to produce models that can predict the rate and pattern of ALS progression, identify factors essential for the prediction, and generate reliable stratification to homogeneous sub-groups of the heterogeneous ALS population. The platform has been developed by Prof. Boaz Lerner of the university’s Department of Industrial Engineering and Management. According to Lerner, the system provides three key benefits. The first benefit is the ability to reduce uncertainty and improve the patient’s and caregiver’s quality of life. The second benefit is for pharma and medical device companies who can utilise the system to improve the design of clinical trials and the third benefit is that the tool is quite generic and can be expanded to benefit patients suffering from other diseases including Alzheimer’s and Parkinson’s. Read More

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Environment Management

AI and Old Phones to Help Save Rainforests

Rainforest Connection, a San Francisco-based start-up, has devised a system whereby the microphones on old smartphones could connect to solar panels and use AI to distinguish chainsaw noise from bird and animal noises. This could then alert authorities to illegal logging. The moment a chainsaw goes off, the mic attached to trees picks it up and can then alert local rangers to stop people in the act. Up until now, satellites have been used to monitor for signs of deforestation, but this doesn’t happen fast enough to halt the destruction. The system was built using TensorFlow, Google’s powerful open source computing resource, which allows to stream all of the audio in real time into the cloud. This enables to process massive amounts of data in real time – all because it’s in the cloud. Today, according to Rainforest Connection’s website, the system monitors 26,000 hectares of forest, has gathered 4,629 days worth of data and has helped to sequester more than 6.5 million metric tonnes of CO2, equal to taking 1.3 million cars off the road. Read More

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Defence

AI System to Destroy Targets Selected by Pilots

A new onboard system with AI capable of destroying targets selected by pilots without their participation is being tried on Russia's Mi-28N attack helicopters. The system analyses targets in the field by itself, establishes whether they belong to the enemy, picks the appropriate weapon from the helicopter's equipment and launches it by itself. The helicopter's pilots only need to pick a target from those suggested by the system by pressing a button on the LCD display, while the system can do everything else. At the same time, a pilot can cancel the task at any point so that the decision to use weapons is made by a human. The new system helps to compensate for physiological limitations of people when it comes to reaction and attention. Attack helicopters are used at low altitude and fast speed, so pilots cannot control the whole field. The system allows to take some pressure off the crew regarding the use of weapons on the already selected target, so that pilots can switch to performing other tasks. Read More

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Hospitality

AI Takes Drive-Through Orders at Restaurants

Colorado’s Good Times Burger & Frozen Custard invites drive-through breakfast customers to place their orders with its AI system. Valyant AI designed the flow to help the fast food restaurant up its efficiency. This particular AI is built specifically to enhance the speed of the drive-through feature. The tech was developed using real customer recordings from the drive-through and will develop learning patterns through its own software as well as through human influence. The automated system asks fewer questions, streamlining the entire process and hoping to curb errors. Finally, Valyant’s program also allows for manual human intervention if the AI fails, aiming to enable a harmonious balance between employee and automated assistance. 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

Quantum Computers to Support Discover New Materials for Advanced Batteries

Mercedes-Benz’s research and development division is researching how quantum computers could be used to discover new materials for advanced batteries in electric cars within the next decade. According to Benjamin Boeser, director of open innovation at Mercedes-Benz Research and Development North America, discovering new battery materials could “unlock a billion-dollar opportunity”. said. The company could simulate the actual behavior of a battery with a quantum computer, which is currently not possible with existing computer power. Mercedes-Benz and Daimler are working with International Business Machines Corp.’s quantum-computing division with the goal of deploying the next-generation computing power in certain use cases, possibly in about five or 10 years, Mr. Boeser said. A quantum computer could help Mercedes-Benz find new materials or combinations of materials that could result in better electrochemical performance and longer life cycles, but it is still early stages. Read More

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