In the latest quarter, revenue fell 6.5% to $20.37 billion, missing analysts' projections, according to FactSet. Shares fell 6.8% in after-hours trading. IBM's stock closed at $131.65 on Thursday, down 5.4% over the past year. IBM, which had suspended financial projections last year over uncertainty about the pandemic's business impact, said Thursday that it expects revenue to grow this year and anticipates $11 billion to $12 billion in adjusted free cash flow for the year and $12 billion to $13 billion in 2022. "The actions we are taking to focus on hybrid cloud and [artificial intelligence] will take hold, giving us confidence we can achieve revenue growth in 2021," Mr. Krishna.
Here's a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves. IBM's fourth quarter revenue fell 6% from a year ago, but the company said it expects to return to growth in 2021. The company's earnings report was a mixed bag. IBM reported non-GAAP earnings of $2.07 a share and $1.41 a share under generally accepted accounting practices. However, IBM's fourth quarter revenue was down 6% to $20.4 billion.
The mission of AI100 is to launch a study every five years, over the course of a century, to better track and anticipate how artificial intelligence propagates through society, and how it shapes different aspects of our lives. This IJCAI session brought together some of the people involved in the AI100 initiative to discuss their efforts and the direction of the project. The goals of the AI100 are "to support a longitudinal study of AI advances on people and society, centering on periodic studies of developments, trends, futures, and potential disruptions associated with the developments in machine intelligence, and formulating assessments, recommendations and guidance on proactive efforts". Working on the AI100 project are a standing committee and a study panel. The first study panel report, released in 2016, can be read in full here.
A new study has revealed that while the top 100 richest people in tech share similar views to other wealthy people, they are also more focused on meritocracy. The research, published in PLOS One, used data sets based on tweets by these individuals who were named by Forbes as the top 100 richest people in the tech world, plus their statements on websites about their philanthropic endeavours. As part of the study, the researchers analysed 49,790 tweets from 30 verified Twitter account holders within the tech elite subject group and 60 mission statements from tech elite-run philanthropic websites, plus 17 statements from tech elites and other wealthy individuals not associated with the tech world for comparison purposes. The Twitter text analyses, according to the research, revealed tech elites used Twitter to tweet about subjects that placed emphasis on disruption, positivity, and temporality compared with the average user. Their most frequently used words were'new' and'great', and referred mostly to their peers and other tech firms. At the same time, the authors found that while tweets showed the tech elites did not see a significant difference between power and money or power and democracy, they did note the tech elites denied a connection between democracy and money, a view that was not shared by ordinary Twitter users.
Eyesight tests could be used to identify which people with Parkinson's disease are likely to suffer from cognitive impairment and possible dementia 18 months later. UK researchers have found that people with Parkinson's who perform less well in eye tests show worse cognitive performance a year and a half later. The study is one of two by University College London (UCL) published this month looking at people with Parkinson's – the progressive nervous system disorder that causes shakiness and stiffness. The second study found structural and functional connections of brain regions become'decoupled' throughout the entire brain in people with Parkinson's disease, particularly among people with vision problems. The findings support previous evidence that vision changes precede the cognitive decline that occurs in many, but not all, people with Parkinson's.
Naive Bayes is a classification algorithm that works based on the Bayes theorem. Before explaining about Naive Bayes, first, we should discuss Bayes Theorem. Bayes theorem is used to find the probability of a hypothesis with given evidence. In this, using Bayes theorem we can find the probability of A, given that B occurred. A is the hypothesis and B is the evidence.
Anewly designed artificial intelligence tool based on the structure of the brain has identified a molecule capable of wiping out a number of antibiotic-resistant strains of bacteria, according to a study published on February 20 in Cell. The molecule, halicin, which had previously been investigated as a potential treatment for diabetes, demonstrated activity against Mycobacterium tuberculosis, the causative agent of tuberculosis, and several other hard-to-treat microbes. The discovery comes at a time when novel antibiotics are becoming increasingly difficult to find, reports STAT, and when drug-resistant bacteria are a growing global threat. The Interagency Coordination Group (IACG) on Antimicrobial Resistance convened by United Nations a few years ago released a report in 2019 estimating that drug-resistant diseases could result in 10 million deaths per year by 2050. Despite the urgency in the search for new antibiotics, a lack of financial incentives has caused pharmaceutical companies to scale back their research, according to STAT. "I do think this platform will very directly reduce the cost involved in the discovery phase of antibiotic development," coauthor James Collins of MIT tells STAT.
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Promaxo, an AI-powered medical imaging enhancement platform, announced the closing of an investment round of $4.17 million led by Huami. The medical technology company plans to use the new funds to accelerate its data strategy as it continues to incorporate artificial intelligence in imaging and image-based interventions. Using a combination of linear and genetic optimization algorithms, the company's medical imaging system forms the magnetic field within the field of view to maintain linearity and uniformity constraints while being thermally stable, the company said. "As an industry, we are just scratching the surface of how powerful MRI is poised to become in guided interventions, and we are proud to have Huami as a strategic investor as we introduce our truly open MRI system to the masses," said Dr. Amit Vohra, founder, and CEO of Promaxo. "Huami's mission is to connect health with technology, and we see tremendous opportunity in imaging to expand our growth opportunities. Companies such as Promaxo are disrupting the locations, applications, and costs of medical imaging. Huami has resources, such as miniaturization engineering expertise, that can help accelerate Promaxo's scaling, growth, and success, and we look forward to what our partnership can develop," said Huami Chief Operating Officer Mike Yeung.
A study by Vuno, a Korean artificial intelligence (AI) developer, showed that a deep learning algorithm could predict Alzheimer's disease (AD) within one minute. Jointly with Asan Medical Center, Vuno verified an AI algorithm using MRI scans of 2,727 patients registered at domestic medical institutions. Vuno found that the algorithm predicted AD and mild cognitive impairment (MCI) accurately. Vuno's deep learning-based algorithm used an area under the curve (AUC) to predict dementia. The closer the AUC value is, the higher the algorithm's performance is.