IBM today announced the launch of its Adversarial Robustness Toolbox for AI developers. The open-source kit contains everything a machine learning programmer needs to attack their own deep learning neural networks (DNN) to ensure they're able to withstand real-world conditions. The toolbox comes in the form of a code library which includes attack agents, defense utilities, and benchmarking tools that allow developers to integrate baked-in resilience to adversarial attacks. The company says it's the first of its kind. One of the biggest challenges with some of the existing models to defend against adversarial AI is they are very platform specific.

NEW YORK--(BUSINESS WIRE)--Lantern Pharma is applying Artificial Intelligence (AI) to tailor multiple promising precision drug programs to the right cancer patients through use of their RADRTM platform (Response Algorithm for Drug Rescue and Positioning). Lantern is disrupting the drug development process using seamless integration of relevant existing data, generation of new clean data closely modeling real world evidence and very focused AI technology application to further model this data and distill into meaningful information that can identify & stratify right patients with high accuracy. Even a small step ahead in the right direction will be a huge leap for the pharma industry. Lantern is currently leading the way in AI directed drug development, recently having fast tracked shelved assets from in-license to out-license within 18 months. Lantern is currently progressing 3 clinical stage drugs in using this technology.

AUSTIN, Texas--(BUSINESS WIRE)--In a joint report, DHL, the world's leading logistics service provider, and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. DHL and IBM outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before. The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.

In a joint report, DHL and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. DHL and IBM outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before. The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.

Discussions will focus on how the technological developments will shape the future of Europe and building a strong Digital Single Market with increased investment and digital skills is crucial. After last year's Digital Day in Rome that triggered successful cooperation in areas such as high-performance computing, connected mobility and the digitisation of industry, the Commission is repeating the initiative to encourage more cooperation on digital issues. Within a year, major progress has been made towards a Digital Single Market. The end of roaming charges and the portability of online content are now part of the lives of Europeans. Stronger rules on the protection of personal data and the first EU-wide rules on cybersecurity will become a reality in May 2018.

NEW YORK--(BUSINESS WIRE)--With ransomware and distributed denial of service (DDoS) attacks on the rise, the average number of focused cyberattacks per organization has more than doubled this year compared to the previous 12 months (232 through January 2018 versus 106 through January 2017). In the face of these growing cyber threats, organizations are demonstrating far more success in detecting and blocking them, according to a new study from Accenture (NYSE:ACN). Yet, despite making significant progress, only two out of five organizations are currently investing in breakthrough technologies like machine learning, artificial intelligence (AI) and automation, indicating there is even more ground to be gained by increasing investment in cyber resilient innovations and solutions. The study was conducted from January to mid-March 2018 and investigated focused attacks defined as having the potential to both penetrate network defenses and cause damage, or extract high-value assets and processes from within organizations. Despite the increased pressure of ransomware attacks, which more than doubled in frequency last year, the study found organizations are upping their game and now preventing 87 percent of all focused attacks compared to 70 percent in 2017.

Redwood City, Calif., April 16, 2018 – Informatica, the enterprise cloud data management leader, today announced the launch of its reimagined Enterprise Data Catalog with intelligent APIs and deeply enhanced AI algorithms, powered by the CLAIRE engine, for self-service data discovery by any line-of-business user. With new, intelligent APIs, users can have one-click access to the rich content of Enterprise Data Catalog from within their own applications. Developers can empower their applications with metadata intelligence and data recommendations. The AI-powered Enterprise Data Catalog intelligently scans and catalogs data assets across the enterprise and adds business context for understanding. It can identify domains and entities, such as customer, product, order, and more, providing seamless integration of all data with easy access and search capabilities.

Report Scope: In this report, the market has been segmented based on type, deployment, organization size, end-user industries, and geography.The report covers the overview of the global market for machine learning and analyses the market trends, considering the base year of 2016 and estimates for 2017 to 2022. Revenue forecasts from 2017 to 2022 for segmentation based on deployment, organization size, end-user industries, and geography have been estimated with values derived from solutions and service providers' total revenues. The report also includes a section on the major players in the market.Further, it explains the major drivers, competitive landscape, and current trends in the machine learning market. The report concludes with an analysis of the machine learning vendor landscape and includes detailed profiles of the major players in the global machine learning market. Report Includes: - 45 data tables and 32 additional tables - An overview of the global market for machine learning - Analyses of global market trends, with data from 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2022 - Identification of segments with high growth potential and their future applications - Explanation of major drivers and regional dynamics of the market and current trends within the industry - Detailed profiles of major vendors in the market, including Amazon.com Inc., Alphabet Inc., Baidu Inc., Intel Corp. and Hewlett Packard Enterprise Company Summary Machine learning is one of the fastest growing areas of computer science, with a wide range of applications.Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

DEEP AERO has announced today that it will give passenger drones as a reward to three lucky winners from the pool of all contributors who contribute 1 ETH or more to its pre-sale campaign, subject to the pre-sale campaign getting fully subscribed*. "The use of unmanned aerial vehicles is increasing exponentially," says Mr. Gurmeet Singh, CEO of DEEP AERO. "We're heading towards a future in which millions of drones will fly billions of flights. At some point in the not-too-distant future, fleets of commercial drones are expected to swarm across the skies. Current airspace management and air traffic flow management systems don't have the capabilities to handle the type of operations relevant to drones. In addition, the anticipated traffic density of drones is far beyond the capabilities of current air traffic management systems."

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in North America: AI Market by Platforms, Components, Deployment Mode, Applications, and Industry Verticals 2018 - 2023" report has been added to ResearchAndMarkets.com's offering. Artificial Intelligence (AI) represents machine-based intelligence, typically manifest in "cognitive" functions that humans associate with other human minds. There are a range of different technologies involved in AI including Machine Learning, Natural Language Processing, Deep Learning, and more. One of the primary drivers for AI is automated machine-driven decisions. Consequently, AI is rapidly making its way into many advanced solutions including autonomous vehicles, smart bots, advanced predictive analytics, and more. Some of the more well-known companies leading the way in the United States include IBM, Intel, Microsoft, Siemens, and others.