Source – https://www.biospectrumindia.com/ A team from the Institute of Advanced Study in Science and Technology (IASST) in Guwahati, an autonomous institute of the Department of Science & Technology, Govt of India, has presented the novel deep learning (DL) based quantitative evaluation of oestrogen or progesterone status with the help of Immunohistochemistry (IHC) specimen to grade for Read More

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Source – https://www.fortuneindia.com/ Traditional network security tools have become outdated in the face of sophisticated cyberattacks. Our cybersecurity strategies should embrace latest technologies, such as A.I. and machine learning. For many years, traditional network security tools such as firewalls, anti-virus software, web proxies etc. have been the go-to defences for organisations. While these tools were Read More

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Source: zdnet.com Juniper Networks on Wednesday announced it’s extending AI-driven insights to WAN and branch networks with a new cloud-based service called Juniper Mist WAN Assurance. Additionally, the company is introducing a new conversational interface to networking operations, enabling either IT teams or end users to more easily communicate with Marvis, Juniper’s virtual network assistant.  Read More

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Source: sdxcentral.com Internet of Things (IoT)  vulnerabilities stem from the tendencies of the devices to have low computational power and hardware limitations that don’t allow for built-in security features. On top of that, IoT devices may sacrifice security in order to be first to market. If the vendor is a startup that fails, the needed updates of security patches won’t come, Read More

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Source: siliconangle.com Applications are expected to move from data centers to edge facilities in record numbers, opening up a huge new market opportunity. The edge computing market is expected to grow at a compound annual growth rate of 36.3 percent between now and 2022, fueled by rapid adoption of the “internet of things,” autonomous vehicles, high-speed trading, Read More

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Source: drugtargetreview.com Researchers have designed a novel approach to use deep learning to improve their understanding of how proteins interact in the body. According to the team, their findings could result in more accurate structure models of protein interactions in various diseases and better drug designs that target protein interactions. The study, conducted at Purdue Read More

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Artificial Intelligence