Goto

Collaborating Authors

 Press Release


2022 Insights on the Artificial Intelligence in Healthcare Market

#artificialintelligence

Dublin, Feb. 16, 2022 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Healthcare: Intellectual Property Landscape" report has been added to ResearchAndMarkets.com's offering. This report features an extensive study of the historical and current collection of granted patents, patent applications and affiliated documents associated with the upcoming suite of intuitive software and automation enabling solutions, which are designed for use within the healthcare industry. The information in this report has been presented across two deliverables, namely an Excel sheet, featuring an interactive dashboard, and a PowerPoint presentation, summarizing the ongoing activity in this domain, and key insights drawn from the available data. The global healthcare sector has been overtly reluctant to embrace technology. This may partially be due to the failure of early digitization efforts, which were fraught with challenges and turned out to be more of a liability rather than a path forward.


The Elusive Hunt for a Robot That Can Pick a Ripe Strawberry

WIRED

Ten years ago, a company called Agrobot demonstrated a strawberry-harvesting robot in a field in Davis, California. Today, Agrobot's strawberry picker remains a prototype. The long wait underscores the challenge for any berry-picking robot: Identify a berry that is ripe enough to pick, grasp it firmly but without damaging the fruit, and pull hard enough to separate it from the plant without harming the plant. Agrobot CEO Juan Bravo said his company's machine can't compete with people who can pick fruit by hand and pack it into clamshells. Still, growers are looking ahead to a day when it will be hard to find people willing to stoop in the fields all day, and expensive to pay them.


Why an AI Platform Backed by Stan Druckenmiller Is Getting Into Crypto

#artificialintelligence

A Duquesne Capital veteran will use artificial intelligence to help investors anticipate cryptocurrency fluctuations through his fintech company TOGGLE AI. TOGGLE AI, co-founded by Jan Szilagyi and Giuseppe Sette, uses artificial intelligence to track price shifts in stocks, commodities, and fixed income. The company announced Tuesday that it would start analyzing over 400 cryptocurrencies in addition to major currencies like Bitcoin and Etherium, which were previously included in TOGGLE's analytics. Szilagyi, the firm's chief executive officer, told Institutional investor that the appeal of artificial intelligence resides in its ability to analyze, process, and present millions of data points at an inhuman speed. This means that platforms like TOGGLE can present users with predictions for over 35,000 securities, an impossible feat for a single human analyst. "AI is able to process a large amount of data and then process certain patterns that might be useful," he said.


A burger-flipping robot may be coming to a White Castle near you

Engadget

You can count burger-flipping robots as one pandemic innovation that's here to stay. White Castle announced today that it will be bringing Flippy 2, a robot chef that can essentially perform the same tasks as a team of fry cooks, to 100 more locations this year. This amounts to roughly a third of White Castle restaurants nationwide, so it's likely Flippy may become a permanent addition to this burger chain's workforce. Last fall the burger chain first teamed up with Miso Robotics, the makers of Flippy, to launch a pilot program in its Chicagoland location. The company then unveiled Flippy 2, the latest iteration of the chef robot, back in November.


AMD Acquires Xilinx

#artificialintelligence

SANTA CLARA, CA, USA, Feb 15, 2022 โ€“ AMD (NASDAQ: AMD) announced the completion of its acquisition of Xilinx in an all-stock transaction. The acquisition, originally announced on October 27, 2020, creates the industry's high-performance and adaptive computing leader with significantly expanded scale and the strongest portfolio of leadership computing, graphics and adaptive SoC products. AMD expects the acquisition to be accretive to non-GAAP margins, non-GAAP EPS and free cash flow generation in the first year. "The acquisition of Xilinx brings together a highly complementary set of products, customers and markets combined with differentiated IP and world-class talent to create the industry's high-performance and adaptive computing leader," said AMD President and CEO Dr. Lisa Su. "Xilinx offers industry-leading FPGAs, adaptive SoCs, AI engines and software expertise that enable AMD to offer the strongest portfolio of high-performance and adaptive computing solutions in the industry and capture a larger share of the approximately $135 billion market opportunity we see across cloud, edge and intelligent devices." Former Xilinx CEO Victor Peng will join AMD as president of the newly formed Adaptive and Embedded Computing Group (AECG).


4 Quantum Computing Stocks To Add To Your Portfolio - AI Summary

#artificialintelligence

Given the segment's solid growth prospects, we think it could be wise to bet on quantum computing stocks Microsoft (MSFT), Alphabet (GOOGL), International Business Machines (IBM), and Hitachi (HTHIY). Given quantum computing's growth prospects, tech giants are investing significantly in the space to grab market share. Technology giant MSFT's broad product portfolio includes personal computers, tablets, gaming and entertainment consoles, and related accessories. On Jan. 25, 2022, Satya Nadella, chairman and CEO, MSFT, said, "As tech as a percentage of global GDP continues to increase, we are innovating and investing across diverse and growing markets, with a common underlying technology stack and an operating model that reinforces a common strategy, culture, and a sense of purpose." Mountain View, Calif.-based GOOGL provides online advertising services in the United States, Europe, the Middle East, Africa, Asia-Pacific, Canada, and Latin America.


Arm Veteran Matthew Mattina Joins Tenstorrent as VP of Machine Learning

#artificialintelligence

Tenstorrent, a hardware start-up developing next generation computers, announces the addition of Matthew Mattina as VP of Machine Learning. "Tenstorrent's mission is to advance the field of AI, which includes enabling entirely new categories of ML models which are larger and more intelligent than the industry uses today. Success requires mastery of the entire stack โ€“ from models, through compilers and runtime software, to the hardware it all relies on," said Ljubisa Bajic, Tenstorrent's CEO. "Matt is one of very few people in the world with deep expertise in all layers of the stack and his addition to the team is a significant step towards achieving our goals and moving AI forward." As Vice President of Machine Learning, Mattina will lead Tenstorrent's efforts to enable industry-leading performance and scalability of modern neural networks and Software 2.0.


How artificial intelligence can help in the fight against doping

#artificialintelligence

Professor of Business Informatics Wolfgang MaaรŸ (photo) and his teams at Saarland University and the German Research Center for Artificial Intelligence are using self-learning computer systems to make it faster and simpler to uncover doping violations. MaaรŸ and his team have been collaborating with the World Anti-Doping Agency WADA on research projects that use AI systems the team had previously developed for Industry 4.0 applications. By feeding these systems with data from doping tests, the systems become increasingly efficient at detecting sporting fraud. Artificial intelligence may help to make sporting competitions cleaner and fairer in the future. Professor of Business Informatics Wolfgang MaaรŸ and his teams at Saarland University and the German Research Center for Artificial Intelligence are using self-learning computer systems to make it faster and simpler to uncover doping violations.


Data Stewardship, As-a-Service IT Consumption Models and AIOps driven Automated Operations will be Cornerstones of Future-ready Digital Infrastructure in 2022 and Beyond

#artificialintelligence

SINGAPORE, February 3rd, 2022 โ€“ Businesses and public sector organizations will need to accelerate the modernization of their IT infrastructure and operations to be able to build a sustainable competitive advantage in the next 2 to 3 years. The ability to align to the digital paradigm is not only contingent upon investing in next-generation cloud-native IT infrastructure technologies, platforms, and solutions, but also how CIOs will help transform to autonomous IT operations using AI / ML technologies, delivering business resilience, agility, flexibility, and adaptability. The rapid proliferation of data-driven edge workloads, growing number of ransomware and malware attacks, and blistering growth in the volume of structured and unstructured data are creating significant challenges, as a result of which by 2023, most C-Suite will implement business-critical KPIs tied to data availability, recovery, and stewardship. IDC believes this will help to sustain data-driven innovation. "The CIO and IT decision-makers will need to do some serious thinking beyond modernizing the technology building blocks and platforms if they truly intend to align to digital business outcomes, SLAs, and KPIs. Cultural and mindset change is going to be one of the keystones of digital infrastructure paradigm, which goes far and beyond just embracing cloud as the defacto delivery platform or using OPEX based as-a-service IT consumption models. Digital Infrastructure represents the dawn of a new era for IT decision-makers to make an inedible mark in helping their organization lead into the future," says Rajnish Arora, Vice President Enterprise Infrastructure Research at IDC Asia/Pacific.


Sony's new AI driver achieves "reliably superhuman" race times in Gran Turismo

#artificialintelligence

AI agents have bested humans at many games, from chess to Go to poker. Now, the machines can claim a new high score on the classic racing video game series Gran Turismo. Sony announced today that its researchers have developed an AI driver named GT Sophy that is "reliably superhuman" -- able to beat top human drivers in Gran Turismo Sport in back-to-back laps. You might think this an easy challenge. After all, isn't racing simply a matter of speed and reaction time and therefore simple for a machine to master?