Press Release
Smallest DFN MOSFETs in the world!
Semiconductor manufacturer, Nexperia has announced the release of a new range of 20 V & 30 V MOSFETs (metalโoxideโsemiconductor field-effect transistors) in the world's smallest DFN (dual-flat no-leads) package, the DFN0603. Nexperia already offers ESD (electrostatic discharge) protection devices in this package, but has now succeeded in bringing it to their MOSFET portfolio, a feat as yet unmatched in the industry. Next generation wearable and hearable devices are incorporating new levels of artificial intelligence (AI) and machine learning (ML), creating several challenges for product designers. Firstly, available board space is at a premium as functionality is added, plus heat dissipation becomes a problem as power consumption increases. Nexperia has drawn on its decades of experience as an industry leader in the production of discrete components and designed this innovative range of tiny MOSFETs to successfully overcome both concerns.
SwRI scientists demonstrate machine learning tool to efficiently process complex solar data
Solar flares, coronal mass ejections, prominences and sunspots are all driven by complex magnetic activity within the Sun's interior and at its surface, illustrated by the ultraviolet image on the right. SAN ANTONIO -- July 6, 2022 --Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a Southwest Research Institute team has developed a machine learning tool to efficiently label large, complex datasets to allow deep learning models to sift through and identify potentially hazardous solar events. The new labeling tool can be applied or adapted to address other challenges involving vast datasets. As space instrument packages collect increasingly complex data in ever-increasing volumes, it is becoming more challenging for scientists to process and analyze relevant trends.
Artificial Intelligence in Genomics Market to Witness a Staggering CAGR of 50.2% and Accumulate Revenue of USD 18,213 Million by 2030
TOKYO, July 07, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Genomics Market size accounted for USD 471 Million in 2021 and is estimated to reach USD 18,213 Million by 2030. According to a 2021 study, 62% of healthcare organizations were considering investing in artificial intelligence (AI) and machine learning (ML), and 72% of companies believe AI will be critical to how they do work in the future. Furthermore, 50% of organizations intend to implement and adopt AI strategies by 2025. This trend in artificial intelligence in genomics market will spur the industry demand in the coming years. Likewise, the surging adoption of AI in precision medicine is another trend that is likely to boost the AI in genomics market revenue.
Convin launches AI-powered agent assist platform for banks & financial institutions - India Press Release
Bengaluru, July 6, 2022: Bengaluru-based Convin.ai, a leading AI-driven platform that reimagines virtual assisted selling for businesses, today announced that it has launched an AI-powered agent assist platform that helps them better prioritize their collection accounts resulting in a 25% increase in the closure rate. The new platform also has a proactive alert mechanism and sentiment analysis that triggers a red alert in case of any shouting or abuse during the call so that necessary steps can be taken to tackle such a situation. The proactive alert mechanism has helped Convin's BFSI customers improve their CSAT scores by 30%. Three main pillars supporting the just launched platform are โ 1. Automated quality management, which scores the call performance and identifies training opportunities for agents; 2. Call behaviour analysis which uncovers the behaviour outcome of calls (wins and losses) and 3. Automated quality coaching based on the above 2 that completely removes the dependency on archaic coaching methods. Convin offers a holistic platform that allows customers to interact at multiple channels in different ways, automates conversation analysis, assists agents to sell better, improves agent productivity, and enhances end-customer experiences.
Global Artificial Intelligence in Construction Market Expected to Exceed $2,642.4 Million, Rising at 26.3% CAGR from 2019 to 2026 [120-Pages]
New York, USA, July 05, 2022 (GLOBE NEWSWIRE) -- A new report on the global artificial intelligence in construction market has been added by Research Dive to its repository. According to the report, the global market is expected to hit $2,642.4 million by 2026, rising at a CAGR of 26.3% from 2019 to 2026. This report is a meticulous study offering reliable insights into the present situation and future scope of the global industry. The report is drafted by expert market analysts and assures to be a trustworthy source of data and comprehensive market insights for new market players, investors, prevalent players, stakeholders, shareholders, etc. The key factor thriving the growth of the global artificial intelligence in construction market is the rising demand for artificial intelligence in constructions as it helps in saving time and money, and increases the efficiency of construction activities.
Only through international cooperation can AI improve patient lives
The largest prostate cancer biopsy dataset โ involving over 95,000 images โ has been created by researchers in Sweden to ensure AI can be trained to diagnose and grade prostate cancer for real world clinical applications. The researchers will call today, at the European Association of Urology annual congress (EAU22), for large-scale clinical trials of artificial intelligence (AI) algorithms and greater global coordination to ensure that AI enhanced diagnostics, prognostication, and treatment selection can help save lives. There is a shortage of pathologists around the world, both generalists and those specialised in urology. AI can help in detecting prostate cancer at an early stage, but because of the vast differences in the way clinics prepare samples, scan images and in the diverse patient populations they serve, many algorithms do not have universal application. The team, from Karolinska Institutet, worked with colleagues from Radboud University Medical Center in the Netherlands, University of Turku in Finland and Google Health in the US to run an AI competition involving nearly 1,300 developers from around the world.
GlobalData Plc: Artificial Intelligence Among Key Technology Themes in Focus for Tesla
LONDON, June 02, 2022 (GLOBE NEWSWIRE) -- A major share of the ICT spending of Tesla is earmarked for acquiring software, ICT services, and hardware from vendors. Tesla collects a variety of data from its vehicles and analyses them on its servers for different purposes such as detecting and resolving issues in its vehicles and developing new products and services. The company has also developed the requisite artificial intelligence (AI) hardware and software for assisting drivers and launching fully autonomous electric vehicles in the future. The Tesla Inc Enterprise Tech Ecosystem Report offered by GlobalData Plc will act as a reference point to understand the company/competitor's digital strategy. It will also help in understanding the digital preparedness of the company against its peers.
Machine learning predicts oral cancer risk
The Interactive Talk presentation, "Predicting Oral Cancer Risk using Machine Learning", will take place on Saturday, June 25th, 2022 at 2 p.m. The study, undertaken by John Adeoye of the University of Hong Kong, SAR China, aims to develop a machine learning-based platform to predict the risk of oral cancer and oral potentially malignant disorders (OPMDs). Visual oral examination (VOE) was performed among 1467 participants of a community-based screening program by three calibrated dentists prospectively. Each individual's status was defined as positive/negative for oral cancer/OPMDs and histologic confirmation of epithelial dysplasia (ED) and squamous cell carcinoma (SCC) was performed for positive status. Follow-up status of those that screened negative was monitored via state-linked electronic health records.
Artificial Intelligence in Accounting Market Size Analysis, Current Status and Forecast 2022-2028 : IBM, Google, Deloitte - Digital Journal
New Jersey, NJ -- (SBWIRE) -- 06/24/2022 -- Latest survey on Artificial Intelligence in Accounting Market is conducted to provide hidden gems performance analysis of Artificial Intelligence in Accounting to better demonstrate competitive environment . The study is a mix of quantitative market stats and qualitative analytical information to uncover market size revenue breakdown by key business segments and end use applications. The report bridges the historical data from 2016 to 2021 and forecasted till 2028*, the outbreak of latest scenario in Artificial Intelligence in Accounting market have made companies uncertain about their future outlook as the disturbance in value chain have made serious economic slump. Some are the key & emerging players that are part of coverage and profiled in the study are Microsoft (US), AWS (US), Xero (New Zealand), Intuit (US), Sage (England), OSP (US), UiPath (US), Kore.ai (US), AppZen (US), YayPay (US), IBM (US), Google (US), EY (UK), Deloitte (US), PwC (UK), KPMG (Netherlands), SMACC (Germany), OneUp (US), Vic.ai (US), Hyper Anna (Australia), Botkeeper (US) & MindBridge Analytics (Canada). If you are part of the Artificial Intelligence in Accounting industry or intend to be, then study would provide you comprehensive outlook.
The amazing potential of artificial intelligence, machine learning for every industry
In a moment of frustration, you might have wished your organization had two superpowers. First, the ability to put your most time-consuming, labor-intensive, and detail-oriented processes on autopilot so you could focus on improving your growth outcomes. Second, the ability to answer questions that seem too complicated, confusing, or contradictory to make sense of. With the advent of artificial intelligence (AI) and machine learning (ML), teams are accomplishing what used to seem impossible and learning what was once thought unknowable. More:If you're a financial institution, you need to know about the Safeguards Rule Let's dig into why AI and ML are such transformative technologies. Then, we'll illustrate how diverse (and unexpected) industries are using these technologies to solve their biggest challenges and unlock opportunities.