According to a new Pactum survey of 100 senior executives conducted by Vanson Bourne, 97% said they plan to invest significantly in artificial intelligence this year, with 83% of respondents saying they will spend over $500,000 on the technology. Of that group, 10% anticipate spending over $50 million. "Over the past year there has been a shift in attitudes towards AI and its uses," Martin Rand, CEO of Pactum, said in a statement. "Many companies around the world have turned to technology to help bolster its business processes. It is great to see this positive shift in attitudes towards the use of AI within business and see how organizations can succeed by combining the right technology solutions with the right people."

A strategic transaction creating value for SECO's shareholders and giving rise to SECO Mind US. The deal contributes to the implementation of one of the main pillars of the SECO's strategy, aimed at adding more and more value to the products and the solutions for its clients

The Russian government has issued a detailed plan of legal changes in support of AV testing and the launch of commercial use on public roads, without a safety driver in the cabin. The legislative work on the plan, initiated in mid-2020, was given a powerful boost early this year, the federal ministry of transportation stated in a press release back in March. The program "will set the regulatory conditions for inclusion of autonomous vehicles into the transportation system in the period from 2021 to 2024" in a way that "ensures safety of road users and compliance with the existing norms and rules". The ministry has had consultations with technological companies Yandex and Sber, truckmakers Gaz and Kamaz and oil company Gazprom Neft, all major benefactors of the legal changes. These companies, as well as a number of smaller AV developers and potential consumers, have often claimed to be ready for the wider use of AVs when legislation allows.

SAN DIEGO, June 03, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. ( OTC PINK: GTCH) ("GBT" or the "Company") has commenced research with the goal of developing an AI empowered, wireless patient monitoring system. The project's internal code name is "Apollo". The technology will be based on radio waves and empowered by machine learning. Currently health related monitoring devices are typically wearable or invasive types. These devices are self-reporting systems and typically monitoring patient's vitals, keeping logs, track sleeping habits and similar.

DataDome, a cybersecurity company, announced that it has raised $35 million from Elephant, and its historical investor ISAI. The firm is known for its Software as a Service (SaaS) solution that uses artificial intelligence to protect the data of companies suffering from fraud committed by malicious robots. This investment will allow DataDome to strengthen its teams. Founded in 2015 by Fabien Grenier and Benjamin Fabre, DataDome is a cybersecurity company whose main mission is to help companies protect their data and digital activities. A fast-growing demand: bot fraud attacks are constantly on the rise as they are up 47% over the last six months.

HALIFAX, NS, June 1, 2021 /CNW/ - Global Spatial Technology Solutions ("GSTS" or "the Company") an Artificial Intelligence (AI) and Maritime Analytics company, announced today that it has been selected by Defence Research and Development Canada (DRDC) to provide advanced Maritime Risk Detection and Assessment capabilities in support of maritime border security and surveillance. The solution will identify ships in an area of interest and using the cutting-edge techniques of artificial intelligence and machine learning, consolidate a ship's identity, movement history, and risk status with information collected from multiple sensors. Fusing the intelligence into a single operating picture, GSTS's solution enables users to improve Maritime Domain Awareness. The total contract is funded under the Canadian Safety and Security Program. This powerful solution will leverage OCIANA, an AI-based platform developed by GSTS that rapidly processes data from multiple sensor sources to provide intelligence in near real-time.

WIRE)--WekaIO (Weka), the fastest-growing data platform for artificial intelligence/machine learning (AI/ML), life sciences research, enterprise technical computing, and high-performance data analytics (HPDA), today announced that it has been named a finalist in The Business Intelligence Group's inaugural Artificial Intelligence Excellence Awards program. The Artificial Intelligence Excellence Awards recognizes those organizations and products that are truly unique and making an impact on the market. Weka's Limitless Data Platform is built on a shareable, scalable, and distributed file storage system (WekaFS). Designed to help future-ready clients' data centers and enable digital transformation, the breakthrough WekaFS solution was architected to leverage the performance benefits of flash, high-speed networking, and compute acceleration technologies (like GPUs) whether the data resides on-premises, in the public cloud, or as a hybrid model. WekaFS stands out as a leading solution because it gives clients the leverage to get more value out of their compute resources, providing a full enterprise-grade solution with advanced security and full cloud integration.

Paris, May 27, 2021 – Atos and Thales announce the creation of Athea, a joint venture that will develop a sovereign big data and artificial intelligence platform for public and private sector players in the defence, intelligence and internal state security communities. Athea will draw on the experience gained by both companies from the demonstration phase of the ARTEMIS programme, the big data platform of the French Ministry of Armed Forces. The contract to optimise and prepare the full-scale roll-out of the ARTEMIS platform was also awarded jointly to the two leaders by the French Defense Procurement Agency on April 30, 2021. The new joint venture will initially serve the French market before addressing European requirements at a later date. With the exponential rise in the number of sources of information, and increased pressure to respond more quickly to potential issues, State agencies need to manage ever-greater volumes of heterogeneous data and accelerate the development of new AI applications where security and sovereignty are key.

Process AI turbocharges the value of process automation by applying powerful and proven real-time AI, event stream processing, machine learning, decisioning, and natural language processing (NLP) to any business process. These capabilities analyze millions of streaming events and immediately make intelligent decisions so each case gets quickly resolved. This enables enterprises to more effectively and efficiently resolve events – and even anticipate issues before they arise – so they deliver the best possible customer and employee experiences. For example, an insurance company can use Process AI to triage a surge of incoming claim requests after a major storm by automatically approving claims or routing more complex incidents to the best available agent; a financial services company can scan fraud alerts in real time and automatically open a case for a relevant security expert to investigate; or a manufacturer can analyze IOT-connected device signals and, if it predicts trouble on the horizon, proactively open a service ticket and notify a dealer and end customer to the potential issue. This helps ensure algorithms result in fair and balanced outcomes that avoid unintended bias.

BD (Becton, Dickinson and Company) (NYSE: BDX), a leading global medical technology company, today announced the U.S. launch of a Urine Culture Application for use with the BD Kiestra lab automation incubation and imaging system that can transform the way microbiology labs approach urine culture analysis. Designed using artificial intelligence (AI) and leveraging the quality of BD BBL plated media, the application uses digital imaging and software algorithms to determine the amount of growth on a urine culture plate from clean caught and catheterized samples. The BD Kiestra system's intelligent incubation and imaging device uses high-throughput robotics to perform time series imaging, coupled with machine learning so that plates with no significant growth can be released for disposal and plates with significant growth automatically go into a queue for clinician analysis. In many labs, urine cultures make up a significant part of the daily workload -- however, the majority of those samples have no growth or non-significant growth and don't require any additional work-up. Batch review of large volumes of plates with non-significant growth and release can help medical laboratorians focus their time and expertise on more clinically relevant tasks.