Visions for the lab of the future have evolved over the past few decades, and while individual instruments and processes have benefited from digital tools like automation and analytics, lab research has changed far less than many would have predicted. However, with an increasingly broad and powerful digital toolkit that includes tools like artificial intelligence (AI), robotics, and Internet of Things (IoT) sensors, the lab of the future -- one that is significantly more automated, efficient, and effective -- may be closer to reality. However, starting around 2013, there has been a steady growth in innovation interest, showing that the space may be in a phase where it could lead to a significant impact. "While each category has its own defining features, there is overlap and synergy between the categories," explains Cole McCollum, Analyst at Lux Research and lead author of the report. "For example, lab automation can be used to collect experimental data, which can then be fed into informatics systems to ultimately generate knowledge."

The US health and medical insurance industry is a $1.1-trillion maze that is impossible to navigate. And in the bigger scenario of a massive $11-trillion-plus global healthcare industry, America is definitely not first. Americans are fed up, and a digital revolution that goes way beyond telemedicine is the only thing that will restore control. Fixing it is a highly disruptive, multi-trillion-dollar opportunity. Telemedicine, or'Telehealth', will soar from $42 billion in 2018 to $400 billion in 2026. Healthcare IT alone will be worth $390 billion by 2024.

This article is part of the VB Lab / Nvidia GTC insight series. NVIDIA is hosting another of its trademark GTC events next week, and many are wondering what CEO Jensen Huang might be cooking up in his November 9th keynote. Judging by a few of his past keynotes, we think it's safe to assume that he'll focus on five major areas. Accelerated computing: This has long been NVIDIA's stock-in-trade -- the combination of GPUs and specialized software delivering outsized performance in a variety of domains. Gaming is an obvious example, with recent advances like RTX graphics and DLSS boosting performance and realism.

Facebook announced today that they will no longer use the Face Recognition system on their platform and will be deleting over 1 billion people's facial recognition profiles. Facebook's Face Recognition system analyzes photos taken of tagged users and associated users' profile photos to build a unique identifier or template. This template is then used to identify users in uploaded photos or automatically tag people in Memories. Now, a week after their rebranding as Meta, Facebook has announced that they are doing away with the Face Recognition feature and deleting all profile templates created by the system. "But the many specific instances where facial recognition can be helpful need to be weighed against growing concerns about the use of this technology as a whole," said Jerome Pesenti, VP of Artificial Intelligence, in an announcement published today.

The US health and medical insurance industry is a $1.1-trillion maze that is impossible to navigate. And in the bigger scenario of a massive $11-trillion-plus global healthcare industry, America is definitely not first. Americans are fed up, and a digital revolution that goes way beyond telemedicine is the only thing that will restore control. Mentioned in today's commentary includes: Sage Therapeutics, Inc. (NASDAQ: SAGE), Cassava Sciences, Inc. (NASDAQ: SAVA), COMPASS Pathways plc (NASDAQ: CMPS), Neuronetics, Inc. (NASDAQ: STIM), Acadia Healthcare Company, Inc. (NASDAQ: ACHC). Fixing it is a highly disruptive, multi-trillion-dollar opportunity.

HOUSTON–(BUSINESS WIRE)–#AI–HighRadius, the Artificial Intelligence-powered Order to Cash and Treasury Management software leader, today expanded its Autonomous Software platform into the Record to Report function to help accounting teams complete month-end close activities faster and more accurately. The new Autonomous Accounting software includes Financial Close Management and Account Reconciliation products as part of the Record to Report suite offering. As the deadline for closing business transactions nears each month, controllers and their staff have the often thankless job of identifying anomalies and missing transactions across the business that may be captured in ERPs, accounting systems, third-party systems, Excel, or perhaps not captured at all. Dealing with these upstream business transactions under a tight timeline puts tremendous pressure on accounting teams to complete their work by the first day of the month. The HighRadius Autonomous Accounting solution uses native AI to continuously evaluate every transaction – including potentially missing transactions – to flag department stakeholders to review on a daily basis and self-correct in workflow collaboration with accounting staff.

Scicomm.io is a science communication project which aims to empower people to share stories about their robotics and AI work. The project is a joint effort from Robohub and AIhub, both of which are educational platforms dedicated to connecting the robotics and AI communities to the rest of the world. This project focuses on training the next generation of communicators in robotics and AI to build a strong connection with the outside world, by providing effective communication tools. People working in the field are developing an enormous array of systems and technologies. However, due to a relative lack of high quality, impartial information in the mainstream media, the general public receive a lot hyped news which ends up causing fear and / or unrealistic expectations surrounding these technologies.

Scicomm.io is a science communication project which aims to empower people to share stories about their robotics and AI work. The project is a joint effort from Robohub and AIhub, both of which are educational platforms dedicated to connecting the robotics and AI communities to the rest of the world. This project focuses on training the next generation of communicators in robotics and AI to build a strong connection with the outside world, by providing effective communication tools. People working in the field are developing an enormous array of systems and technologies. However, due to a relative lack of high quality, impartial information in the mainstream media, the general public receive a lot hyped news which ends up causing fear and / or unrealistic expectations surrounding these technologies.

The South Korean government shared roughly 170 million face images of citizens and resident foreign nationals with the private sector without their consent to be used in training and testing biometric algorithms, according to a recent Ministry of Justice document. The move is part of an "AI identification and tracking system development project" based on a memorandum of understanding between the Korean Ministry of Justice (MOJ) and the Ministry of Science and ICT (MSIT). Scheduled for completion in 2022, the project has seen the MOJ transferring information obtained during the immigration screening process to the MSIT, including face biometrics, nationality, gender, and age. The MSIT subsequently transferred that information to private businesses for the purpose of artificial intelligence technology research, according to the allegations. The South Korean government mentioned the creation of the project in a press release when it first launched in 2019 but did not disclose information about its structure, scope, or data collection methods.

According to the new market research report "Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision), Application, End User and Geography - Global Forecast to 2027", published by MarketsandMarkets, the market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027; it is expected to grow at a CAGR of 46.2%from 2021 to 2027. The key factors fueling the growth of the market include market influx of large and complex healthcare datasets, growing need to reduce healthcare costs, improving computing power and declining hardware cost, rising number of partnerships and collaborations among different domains in healthcare sector, and surging need for improvised healthcare services due to imbalance between health workforce and patients. Additionally, growing potential of AI-based tools for elderly care, increasing focus on developing human-aware AI systems, and rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics to fight COVID-19 is expected to create a growth opportunity for the artificial intelligence in healthcare market. The software segment is projected to account for the largest share of the artificial intelligence in healthcare market during the forecast period. Many companies are developing software solutions for various healthcare applications; this is the key factor complementing the growth of the software segment.