Baidu (NASDAQ: BIDU) is making a big push into cutting-edge IT segments. The company announced Thursday that it will be allocating more capital to investments in developing corners of the market, particularly artificial intelligence (AI), cloud computing, and data centers. This project will unfold over the next 10 years, in an attempt by the China-based company to build out assets for future tech needs. This piggybacks on the Chinese government's ambition to develop what it calls "new infrastructure" throughout the country to dramatically modernize its economy. Baidu did not specify how much it would spend on its new infrastructure efforts.

Silverstream Technologies, the leading air lubrication manufacturer for the shipping industry, in collaboration with the University of Southampton, has been awarded an Innovate UK Knowledge Transfer Partnership (KTP) grant to advance machine learning in the maritime sector, the organisations have announced today. The two-year partnership will see an Associate of the University of Southampton, secured under the programme, work with Silverstream's Technical Team with the goal to advance machine learning and artificial intelligence within the Silverstream System's control and automation module. The Silverstream System uses air lubrication to reduce frictional resistance between a vessel's hull and the water and delivers fuel savings of 5-10% depending on the vessel and its operating profile. The KTP will aim to increase this saving by analysing operational data taken from installed systems. This data, when combined with cutting edge machine learning techniques, will help to further increase Silverstream System performance during a voyage, with the goal of gaining the theoretical maximum savings associated with the technology every time it is operating.

ModalityIQ, a community-based knowledge sharing and learning platform, is pleased to announce the acquisition of The Machine Learning Conference ("MLconf" and "MLconf.com"), a leader in serving the Machine Learning and Artificial Intelligence community. Founded by Courtney and Shon Burton in 2012, MLconf has gathered thousands of members of the machine learning community to coalesce and share lessons learned through a series of 20 conferences that showcase the latest innovations in machine learning tools, techniques and algorithms attracting Data Scientists, Machine Learning professionals and others who have a vested interest in ML/AI. "Sharing lessons learned that help advance the ML/AI community is at the core of ModalityIQ's mission and is why the acquisition of MLconf made sense for us," said Richard Rivera, Founder & CEO of ModalityIQ. "Courtney's years of service and her dedication to providing a platform for the ML/AI community to share, learn, and inspire one another made her the obvious person for us to partner with. We look forward to working with her and the MLconf team to continue to facilitate the sharing of knowledge within the ML/AI community today and in the years to come." In addition to hosting annual conferences, MLconf also has a vibrant online presence through a community blog and job board at mlconf.com, a monthly newsletter, and via social media in addition to a prolific YouTube channel with hundreds of videos highlighting current and past MLconf presentations.

TOKYO, June 30, 2020 /PRNewswire-PRWeb/ -- About Cyneural While cyber-attack defenses generally respond by detecting specific patterns of "signatures" that indicate malicious access, complex or unknown attacks that utilize AI or BOTs can be difficult to detect or can result in false positives. This is why cyber-attack defenses also need to take advantage of technology with flexibility such as AI. Against this backdrop, Cyber Security Cloud developed its own attack detection AI engine, Cyneural, in August 2019. "Cyneural" uses a feature extraction engine that utilizes the knowledge cultivated through CSC's research on web access and various attack methods. It builds multiple types of training models to help detect not only common attacks but also unknown cyber-attacks and false positives at a higher speed. About Cyneural being used in Shadankun and WafCharm Since the development of Cyneural, CSC has been operating it by utilizing the large amount of data that they have.

Central to the collaboration with HP Indigo is Tilia Labs' flagship software tilia Phoenix. This is planning and imposition software that uses AI technology to reduce cost and optimize production in all print segments including packaging, labels, commercial, and wide format printing. Its AI-generated layouts eliminate the need for template-based imposition, instead dynamically adapting to manufacturing requirements and constraints – an innovation that earned tilia Phoenix a 2019 InterTech Award. HP Indigo customers benefit from AI technology Designed by Tilia Labs to be powerful and dynamic, tilia Phoenix's Imposition AI works quickly enough to keep up with the fastest presses on the market. For albelli of The Hague in the Netherlands, this means delivering automated, multi-lane impositions on-the-fly to their HP 50000 Digital Press - printing up to 770 duplex color/ 2300 mono pages per minute.

DUBLIN--(BUSINESS WIRE)--The "Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market 2020-2026 by Offering, Technology, Drug Type, Therapeutic Area, Application, End User, and Country: Trend Forecast and Growth Opportunity" report has been added to ResearchAndMarkets.com's offering. Asia-Pacific artificial intelligence (AI) in drug discovery market will grow by 33.2% over 2020-2026 with a total addressable market cap of $2.78 billion, owing to fast adoption of AI technology in pharmaceutical industry and drug development. The report provides historical market data for 2015-2019, revenue estimates for 2020, and forecasts from 2021 till 2026. Highlighted with 34 tables and 53 figures, this 121-page report is based on a comprehensive research of the entire Asia Pacific AI in drug discovery market and all its sub-segments through extensively detailed classifications. Profound analysis and assessment are generated from premium primary and secondary information sources with inputs derived from industry professionals across the value chain.

Level Ex, a Chicago startup that makes medical-training video games for doctors, has been acquired by Berlin-based medical-technology company Brainlab, the companies announced today. The companies did not disclose the terms of their deal, although Level Ex CEO Sam Glassenberg told MobiHealthNews that his company would continue to operate under the new ownership as an independent entity. "We're a bunch of game developers that have been parachuted into the healthcare industry, and we're constantly seeing technology that is, like, two decades behind what we're doing in the entertainment industry," he said. If you go to their offices and see their tech, it's incredibly forward looking. Learn on-demand, earn credit, find products and solutions.

About Blue Ridge Blue Ridge Supply Chain Planning and Price Optimization solutions empower distributors and retailers to tap into undiscovered margin through enterprise-wide inventory intelligence, automation and synchronization. Blue Ridge uniquely combines demand forecasting with pricing strategy, so that businesses can proactively understand the unpredictable and allocate the right inventory – right-priced across the entire mix – to accelerate top- and bottom-line results. In a world where the only constant is change, Blue Ridge provides more certainty, more speed, and more assurance – so companies can see the why behind the buy, and respond faster to the unexpected. That's why major retailers and distributors rely on Blue Ridge for a more foreseeable future. For more information, go to www.blueridgeglobal.com.

XGBoost is a popular and efficient machine learning (ML) algorithm for regression and classification tasks on tabular datasets. It implements a technique known as gradient boosting on trees and performs remarkably well in ML competitions. Since its launch, Amazon SageMaker has supported XGBoost as a built-in managed algorithm. For more information, see Simplify machine learning with XGBoost and Amazon SageMaker. As of this writing, you can take advantage of the open-source Amazon SageMaker XGBoost container, which has improved flexibility, scalability, extensibility, and Managed Spot Training.

LLamasoft published the results of a global retail supply chain study, which revealed that 73% of retailers believe artificial intelligence (AI) and machine learning can add significant value to their demand forecasting processes. Meanwhile, over half say it will improve 8 other critical supply chain capabilities. The research also found that while 56% of overperforming retailers, also known as'retail winners', use technology to model contingency plans for severe supply chain interruptions, a mere 31% of retailers who are not overperforming do the same. Overall, 56% of retailers surveyed are struggling with the ability to respond to rapid shifts, and the lack of flexibility has cost them during the disruptions such as COVID-19, with many seeing a huge drop in revenue as a result. In addition, 73% of'retail winners' have the foresight and ability to monitor capacity, which allows them to prepare for sudden shifts in demand and supply, compared to 35% of'other' or'under-performing' retailers.