The "Artificial Intelligence (AI)-based Security Industry Guide" report has been added to ResearchAndMarkets.com's offering. Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, maritime, aviation, aerospace and defense, entertainment and gaming. Particularly, AI and ML have been used widely in cybersecurity industries, by both hacking and security communities, making the security landscape even more sophisticated. Many organizations, regardless of size, are now facing greater challenges in day-to-day security operations.

The points that are discussed within the report are the major market players that are involved in the Deep Learning Chipset market such as manufacturers, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.The growth factors of the market is discussed in detail wherein the different end users of the market are explained in detail.Data and information by manufacturer, by region, by type, by application is given and custom research can be added according to specific requirements. The Research projects that the Deep Learning Chipset market size will grow from in 2017 to by 2023, at an estimated CAGR of XX%. The base year considered for the study is 2017, and the market size is projected from 2018 to 2023.Akin to Artificial Intelligence (AI), the concept and possibilities of deep learning are being contemplated and harnessed for several decades. But, in the recent times, the technology pertaining to algorithmic chips has improved considerably, promising to revolutionize major applications such as data centers to the simplest of microcontrollers. "This report can be customized to meet the desired requirements. Please connect with our Team, who will ensure that you get a report that Fulfils your requirements."

AI Medical Service, a Tokyo-based company developing AI-based software to help detect gastric cancer, announced today that it has raised a $42.9 million Series B. Investors include Globis Capital Partners, World Innovation Lab and Sony Innovation Fund by IGV. The funding will be used for clinical trials of its software, which looks for signs of cancer in real-time during endoscopies, product development and overseas expansion. This brings AI Medical Service's total funding so far to $57 million, including a previous round of $9 million from the Incubate Fund in August 2018. Founded in 2017, the company's software focuses on signs of cancer in gastrointestinal organs, including the esophagus, stomach and intestines, with the goal of reducing the amount of hours doctors and other health professionals need to spend going over scans. AI Medical Service is currently collaborating with 80 medical institutions on joint research for regulatory approval of its products.

Tokyo-based AI Medical Service Inc., which is developing endoscopic software powered by artificial intelligence, announced today that it has raised $42.9 million in a Series B round. Japan's Globis Capital Partners, World Innovation Lab (WiL) out of Palo Alto and Sony Innovation Fund by IGV (Innovation Growth Ventures), and others participated in the financing. Combined with the company's last raise of $9 million in August 2018, AI Medical Service has now brought in about $57 million in venture funding since its inception in September 2017. In its own words, the company "develops AI technology that brings together the wisdom of Japanese endoscopic specialists and supports endoscopic examinations of gastrointestinal organs, such as the esophagus, stomach, small intestine and large intestine." Its goal is to more quickly and efficiently diagnose gastric cancer.

New Delhi, October 4,2019:Tech Mahindra, a leading provider of digital transformation, consulting and business reengineering services and solutions, has signed a Memorandum of Understanding(MoU) with Startup Bangladesh to foster the growth of digital startup ecosystem in Bangladesh, by providing guidance and mentoring to the budding entrepreneurs.The MoU was signed in presence of H.E. Sheikh Hasina, Prime Minister of Bangladesh and Shri Piyush Goyal - Minister of Railways and Commerce & Industry, Government of India. As part of the comprehensive growth framework outlined within the MoU, Tech Mahindra will be assisting new-age technology startups in the country, focusing on future technologies like Artificial Intelligence, 5G, Big Data, Cybersecurity, Blockchain, Internet of Things (IoT) and Machine Learning, to leverage digital growth opportunities across its global network. Startup Bangladeshis a concrete initiative by the Government of Bangladesh to create new opportunities, develop technical skills and help realize the vision of Digital Bangladesh. As part of the MoU, Tech Mahindra will extend collaboration opportunities to the innovators of Startup Bangladesh to engage with its research and development arm Makers Lab, which has global footprint including India, US, Europe and Australia. This collaboration will take up initiatives like Ideathons and Hackathons across educational institutions in Bangladesh.

Alteryx, a publicly traded analytics company, announced this morning that it has acquired Feature Labs, a machine learning startup that launched out of MIT in 2018. The company did not reveal the terms of the deal. Co-founder and CEO Max Kanter told TechCrunch at the time of the launch the company had been based on research at MIT that looked at how to automate the creation of machine learning algorithms. "Feature Labs is unique because we automate feature engineering, which is the process of using domain knowledge to extract new variables from raw data that make machine learning algorithms work," Kanter told TechCrunch in 2018. It is precisely this capability that appealed to Alteryx .

"Atos has developed a differentiated experience with its North American AI Lab to provide customers tangible results which they can use to kick-start their AI strategy and take into the field immediately," said Peter Cutts, Chief Digital Transformation Officer, Atos North America. "Customers are looking for industry-specific solutions for their business needs, not a cookie cutter approach. The Atos AI Lab approach empathizes with end users' needs and engages multiple stakeholders to deliver real-world code, datasets and solutions that are repeatable and globally scalable." The Atos AI Lab is a state-of-the-art facility that combines a digital experience with design thinking methodology to allow participants to problem solve and create in a format that works best for them. The Atos AI Lab offers an Incubation workshop that aims to create a use-case ready to deploy at the end of two days, meaning customers can start driving business results quickly.

Automation Anywhere, a global leader in Robotic Process Automation (RPA), announced today that it has launched the world's first purely web-based, cloud-native Digital Workforce platform, Automation Anywhere Enterprise A2019. Enterprise A2019 is now available both on-premise and in any public, private or hybrid cloud, delivering RPA-as-a-Service seamlessly to any user and any business through any delivery channel anywhere in the world. The game-changing platform, now available in more than 14 languages, dramatically reduces cost and infrastructure barriers to RPA adoption. The company's flagship platform – inspired by the ways in which humans work – now includes more than 175 new features across 40 different product capabilities to simplify business automation. It also incorporates feedback from more than 3,000 customers worldwide and thousands of hours of research and development to bring automation one step closer to recognizing the $100 billion market opportunity industry analysts have predicted1.

Alteryx, a publicly traded analytics company, announced this morning that it has acquired Feature Labs, a machine learning startup that launched out of MIT in 2018. The company did not reveal the terms of the deal. Co-founder and CEO Max Kanter told TechCrunch at the time of the launch the company had been based on research at MIT that looked at how to automate the creation of machine learning algorithms. "Feature Labs is unique because we automate feature engineering, which is the process of using domain knowledge to extract new variables from raw data that make machine learning algorithms work," Kantor told TechCrunch in 2018. It is precisely this capability that appealed to Alteryx .

Emailage, global leader in online fraud prevention and email risk assessment, has teamed up with Featurespace, the world leader in risk detection and fraud prevention, to protect global eCommerce and financial services organizations from the growing threat of online application fraud. Application fraud grew by £29.4m (or 159 per cent) last year, according to UK Finance. Application fraud occurs when criminals use stolen or fake documents to open an account in someone else's name. The main driver of this is a result of data harvesting through various phishing techniques. With this intrusive form of fraud on the rise, businesses need new fraud prevention methods which can analyze the digital identity of the applicant.