Page 1,327«..1020..1,3261,3271,3281,329..1,3401,350..»

US Nonfarm Payrolls turn out to be a non-event for Bitcoin and Ethereum – FXStreet

Bitcoin and Ethereum prices were unmoved in response to US Nonfarm Payrolls (NFP). The US jobs report turned out to be a non-event from crypto market participants. It is likely that the event was priced in by traders as both Bitcoin and Ethereum prices rallied close to psychologically relevant price levels over the past week.

Also read: Breaking: US Nonfarm Payrolls rise by 236,000 in March vs. 240,000 expected

The US Bureau of Labor Statistics (BLS) dropped its NonFarm Payrolls report earlier today, noting a 236,000 increase in payrolls against the market expectation of 240,000. Februarys job report showed an addition of 326,000 in NonFarm Payrolls.

There was a decline in the Unemployment Rate, down to 3.5%, and Average Hourly Earnings nosedived to 4.2%.

In response to the report, Bitcoin and Ethereum remained unmoved. It's important to note that the release of the report ahead of the Easter holiday could be one of the reasons why zero-to-low volatility was noted in crypto prices.

It is somewhat likely that the anticipation surrounding the US jobs report, with expectations for a mixed report that have been confirmed, helped drive Bitcoin and Ethereum prices to key levels over the past week. Bitcoin price had climbed to $29,000, close to the psychological barrier at $30,000, and Ethereum hit a new 2023 high, crossing above $1,900.

ETH/USD and BTC/USD 4-hour price charts

The recent spike in Bitcoin and Ethereum prices, prior to their pullback supports, raised the likelihood of the event being priced in by market participants.

The rest is here:

US Nonfarm Payrolls turn out to be a non-event for Bitcoin and Ethereum - FXStreet

Read More..

What Are The Benefits And Dangers Of Buying Cryptocurrency In … – NewsWatch

Cryptocurrency can be one of the more complicated things to get into. Understanding which digital asset is about to enjoy a bullish run or which blockchain is the best platform to develop an application can be complex. The crypto market is accompanied by a myriad of challenges and drawbacks and investors have to be certain about a coin before they decide to invest. Looking at Bitcoin (BTC), Ethereum (ETH), and Dogetti (DETI) as examples, well use this article to weigh up the advantages and disadvantages of investing in cryptocurrency in 2023.

The major risk associated with buying crypto is volatility. The value of a coin can fluctuate wildly in a very short space of time. This means investment can appear speculative as there is no guarantee that the crypto being bought will always be trading profitably for investors. Whilst this volatility can generate high returns, it can also lead the way to significant losses.

Sometimes this can be triggered by unexpected events.

The year 2023 has been something of a difficult grieving process for the cryptocurrency market after the FTX crash. This triggered a domino effect as Silvergate Capital, a crypto-focused bank, was followed by banks specialising in digital currency in announcing the closure of its operations. This led to the crypto market bleeding heavily as even the two biggest cryptocurrencies, Bitcoin and Ethereum, began trading bearishly as investors lost confidence.

Another risk that comes with cryptocurrency is the potential for hacking. Because cryptocurrency transactions are irreversible, it can be difficult to recover funds if they are stolen. Additionally, if you lose your private key or forget your password, you may not be able to access your funds. The threat of hacking is particularly prominent; a report published last year by the United Nations found that billions of dollars had been stolen from crypto-related businesses by cybercriminals.

Cryptocurrency does however generate incredibly promising rewards when everything falls into place together. Bitcoin and Ethereum are prime examples of that. Bitcoin might have started off as worth just a few cents but it is now worth over $28,000 per coin with a market cap of around $548bn.

The rewards arent just about filling your pockets immediately either. Blockchain technology has been revolutionary in how it has allowed applications to be developed using them. Ethereum has led the way on this and has cultivated a reputation of high trust and reliability amongst developers. On top of that, the Ether token is a very lucrative investment for crypto traders, as its currently selling for around $1,838 on the market.

And though, as mentioned previously, this is not a solid indication of the future, Bitcoin and Ethereum underline the resilience of the cryptocurrency market. Prices can crash, but they often recover too.

An issue with the financial market, in general, today is that it is controlled by governments or financial institutions, its not beholden to customers. There are, however, many crypto coins that are accountable and rooted in those who use their services. Dogetti is an example of that. Known as a meme coin, it establishes humour and mafia tropes to build a tight-knit community that sustains it.

Dogettis unique selling point is that its ecosystem embeds investors into the platform and ensures they have both a stake and a voice in the coin. This can involve ensuring that all who hold DETI tokens receive some earnings from a 6% tax on all transactions on Dogettis NFT Marketplace. It can also mean entrenching the representation of DETI members into the decision-making process of the platform through the DogettiDAO feature.

Dogetti (DETI)

Presale: https://dogetti.io/how-to-buy

Website: https://dogetti.io/

Telegram: https://t.me/Dogetti

Twitter: https://twitter.com/_Dogetti_

See the rest here:

What Are The Benefits And Dangers Of Buying Cryptocurrency In ... - NewsWatch

Read More..

Do Kwons Fortune Not In The Country: South Korean Prosecutors – Ethereum World News

Summary:

South Korean prosecutors said that Terraform Labs founder Do Kwon does not have assets or properties domiciled in the country. Local media house KBS reported

Prosecutors noted that almost 91.4 billion won ($69.4 million) attributed to the Terra founder was not found in South Korea. Terraform Labs co-founder Daniel Shin is suspected to control roughly $117 million in value from the failed crypto venture. While authorities raided Shins house last year, prosecutors have so far failed to secure an arrest warrant for Shin despite trying twice.

South Korean authorities unleashed a raft of investigations into Do Kwon and his associates after his company, Terraform Labs and the crash of its tokens, triggered a widespread crypto market downturn. Terras implosion eroded at least $40 billion in investments and pushed Kwon under the spotlight of law enforcement agencies.

Local authorities moved to invalidate his passport after Kwon ducked a congressional hearing. Interpol issued a red notice for his arrest, making the LUNA and UST creator a fugitive in 195 jurisdictions.

Kwon was arrested in Montenegro last month while attempting to exit the country via an airport in the capital of Podgorica. The disgraced crypto tycoon was caught with falsified travel papers as confirmed by Interpol and Montenegrin officials. An associate was also detained with Kwon and arraigned before a judge the next day.

Governments from the U.S. and South Korea reportedly requested

More:

Do Kwons Fortune Not In The Country: South Korean Prosecutors - Ethereum World News

Read More..

Wisconsin’s Supreme Court election is a bad omen for the GOP – MSNBC

Even staunch right-wingers are admitting that the results in Wisconsins Supreme Court election are a bad omen for Republicans electoral chances going forward.

Janet Protasiewicz shellacked conservative Dan Kelly by 10 percentage points Tuesday, claiming victory and a seat that swings Wisconsins high court from a conservative majority to a liberal one.

Kelly was a deeply flawed candidate, both because of his connections to former President Donald Trumps efforts to overturn the 2020 presidential election and his opposition to abortion rights.

The latter was a particularly salient issue in the Wisconsin race, with the states Supreme Court likely to rule on a host of abortion-related matters, including on the legality of a 19th-century abortion ban reauthorized last year by the states GOP-controlled Legislature.

After the drubbing Republicans took in the 2022 midterms, amid a backlash over the U.S. Supreme Courts rescission of federal abortion rights, one might think thered be more widespread recognition on the right that anti-abortion crusades are unpopular. Even the chair of the Republican National Committee, Ronna McDaniel, seemed to essentially admit this in a Fox News interview on Tuesday.

Setting aside McDaniels gross lies about Democrats true policy goals with abortion, her comments about the GOPs messaging issue showed pretty remarkable self-awareness. Which is evidently a sin in most conservative circles.

As the quote tweets and Twitter replies responding to the above clip indicate, many conservatives reacted angrily to McDaniels remarks. (Note: McDaniel has faced plenty of backlash from ultra-conservative Republicans who claim she and the RNC havent been rabid enough in advocating their far-right talking points.)

One such response came from conservative conspiracy theorist Kyle Becker, who had some mansplaining to do.

To hear him tell it, the real issue in Wisconsin was that McDaniel and the RNC didnt use scare tactics well enough to persuade people to vote for Kelly.

Even conservative commentator Ann Coulter sees the writing on the wall for Republicans electoral chances if the party keeps pursuing anti-abortion legislation.

The demand for anti-abortion legislation just cost Republicans another crucial race, she tweeted Tuesday.Pro-lifers: WE WON. Abortion is not a constitutional rightanymore! Please stop pushing strict limits on abortion, or there will be no Republicans left.

This tweet, like McDaniels, was met with scorn from many conservatives.

When Ann Coulter is advising you on how not to be completely detestable, youve probably gone too far.

Nonetheless, dont expect Republicans to reverse course on this culture war.

Ja'han Jones is The ReidOut Blog writer.

See the article here:
Wisconsin's Supreme Court election is a bad omen for the GOP - MSNBC

Read More..

Outlook users face email issues as Microsoft starts using OneDrive … – BetaNews

If you are having trouble sending and receiving email via your Outlook.com account, you are not alone. Problems have started to surface following a recent policy change by Microsoft that means email attachments now eat into OneDrive storage limits -- as we reported previously.

Microsoft started to roll out the change at the beginning of February, but it seems that the pace of the rollout has increased as more and more users are hitting their storage limits and experiencing problems with their emails.

See also:

Microsoft now consolidates cloud storage across Microsoft 365 apps, and this means that Outlook.com users now have less space available to them.

The company warned users of the change towards the tail-end of last year, saying: "Starting February 1, 2023, cloud storage used across Microsoft 365 apps and services will include Outlook.com attachments data and OneDrive data. All data will continue to be protected with Microsoft's comprehensive set of security feature".

The notice continued:

This update may reduce how much cloud storage you have available to use with your OneDrive. If you reach your cloud storage quota, your ability to send and receive emails in Outlook.com will be disrupted.

At the time, users were advised of the staggered approach Microsoft would be taking:

To ensure we offer the best experience, the cloud storage changes and new quota bar will gradually roll out on or after February 1, 2023, across your app settings, Windows settings, and Microsoft account.

As the Register reports, these changes are now hitting more accounts, with users left baffled as to why they are unable to send or receive emails. Many are unhappy at the changes, with some complaining that they feel Microsoft is forcing them to pay for additional storage by upgrading to a different OneDrive tier.

Image credit: rafapress / depositphotos

See original here:
Outlook users face email issues as Microsoft starts using OneDrive ... - BetaNews

Read More..

What are the benefits and concerns of artificial intelligence? Bay Area experts weigh in – KGO-TV

SAN JOSE, Calif. (KGO) -- Italy announced that they are temporarily banning the latest version of Chat GPT from San Francisco-based company Open AI due to issues involving privacy.

This comes after an open letter from thousands of experts around the country shared other serious concerns with the new form of artificial intelligence. However, experts in the field are split on the future of AI.

"We should embrace it," Aisera Co-Founder Muddu Sudhakar said. "My kids are using it, your kids are using it. Schools and Universities are going to use it. This is where the U.S. should run ahead, we already have the lead."

The latest versions of the AI chat-bot has trillions of pieces of data to pull from to do almost anything from taxes, app creation, logical reasoning and much more.

Sudhakar uses it to help his customers and believes it can benefit all.

"It's going to lift everybody," Sudhakar said. "It's going to lift people from poverty. If I'm in I.T. support, customer service, I don't have to do the mundane or futile tasks, it's going to create new forms of creativity for people to build applications. It will create new start-ups, new jobs, societies will improve."

MORE: What is ChatGPT? This AI chatbot is dominating social media with its frighteningly good essays

Powerful, so much power in fact, that even Open AI CEO Sam Altman shared with ABC News that he has his hesitations.

"You're a little bit scared? You personally?" ABC News Reporter Rebecca Jarvis asked.

"A little bit, yeah, of course," Altman said. "I think if I said I were not, you should either not trust me or be very unhappy I'm in this job."

But, this fear is not limited to him.

Italy will temporarily ban the latest version of Chat GPT over privacy concerns due to the software's ability to pull information without permission.

A Goldman Sachs survey recently said it will lead to the loss of 300 million jobs.

MORE: AI photography is taking over social media. Why are some concerned about privacy?

This was written in an open letter signed by dozens including Elon Musk, Steve Wozniak and San Jose State Engineering Professor Ahmed Banafa.

"This is just incredible to get to this stage where we're talking about where we are worried about the AI," Banafa said.

An expert and proponent of AI, Banafa says this artificial intelligence has surpassed that of the human mind and that's what makes it dangerous.

He and the other experts in the letter want AI companies to pause advancement of the technology for six months and create an independent committee to control its capabilities.

"We're not saying don't do it," Banafa said. "We're saying, slow it down, let's think about it. Because you're giving too much power to a machine, or an algorithm that starts picking the data itself. We know about the good part, but we don't know about the bad part of this wave of AI."

If you're on the ABC7 News app, click here to watch live

More:
What are the benefits and concerns of artificial intelligence? Bay Area experts weigh in - KGO-TV

Read More..

$70 for Lifetime Access to 10TB Cloud Drive Supporting All File Types – Global Village space

Looking for a way to clear up space on your phone, tablet, or laptops hard drive? Look no further than Prism Drive Secure Cloud Storage. With a lifetime subscription offering 10TB of storage, this cloud storage solution is the perfect way to keep all your files safe and accessible from any device.

And right now, you can get a lifetime subscription to Prism Drive for just $69.97 a discount of 96% off the regular price. But act fast this deal is only available through April 11.

With Prism Drive, you can upload files from an unlimited number of devices and store any file type. Whether you need to clear out space on your phone for new apps or want to get your video library off your computer, Prism Drive has you covered.

There is a 10GB per upload size limit, so you may need to split large folders into separate uploads. But once your files are online, you can access them from any of your devices and share them with friends or colleagues using links.

One of the most important features of any cloud storage solution is safety. And with Prism Drive, you can rest assured that your files are secure. The service uses zero-knowledge encryption, meaning that only you can see what youve uploaded. And with the strongest available transfer encryption, you can trust that your files are safe during the upload process.

If youre worried about accidentally deleting something important, Prism Drive also offers a 30-day trash history. This means that if you delete something, you have 30 days to recover it before its gone forever.

So if youre looking for a safe and reliable way to store all your photos, videos, and other files, consider a lifetime subscription to Prism Drive Secure Cloud Storage. And with this limited-time offer, theres never been a better time to sign up.

See original here:
$70 for Lifetime Access to 10TB Cloud Drive Supporting All File Types - Global Village space

Read More..

Artificial intelligence to help predict extreme heatwaves – Irish Examiner

Extreme heatwaves like those that struck Western Europe last summer could be predicted weeks in advance in the future using artificial intelligence.

Because heatwaves are rare and difficult to anticipate, it has historically been difficult to prepare for the likes of wildfires and the health implications for people and animals when they strike.

However, French scientists have now unveiled an AI system to predict them, using so-called "deep learning".

Machine learning is where AI evolves with minimal human interference, while deep learning is an offset of machine learning that uses artificial neural networks to mimic the human brain.

The AI used by the Claude Bernard University Lyon researchers uses environmental conditions such as soil moisture and the state of the atmosphere to measure the probability of an extreme heatwave up to a month before its arrival.

They trained the technology on 8,000 years of weather data, simulated by a climate model from the University of Hamburg.

The AI can make predictions in a matter of seconds, and can also be used to predict rare phenomena difficult to anticipate using traditional climate forecasts and climate models, the researchers said.

As global warming intensifies, extreme heatwaves are likely to become more frequent.

The Intergovernmental Panel on Climate Change (IPCC), a UN-backed body of global climate scientists, including Maynooth University professor Peter Thorne, said last month that more than a century of burning fossil fuels has led to global warming of 1.1C above pre-industrial levels, resulting in more frequent and more intense extreme weather events in every region of the world.

Every increment of warming results in rapidly escalating hazards, such as more intense heatwaves, heavier rainfall, and other weather extremes.

Almost half of the worlds population lives in regions highly vulnerable to climate change, where in the last decade, deaths from floods, droughts, and storms were 15 times higher.

Last summer, much of Europe was brought to its knees by heatwaves as the continent experienced one of its worst environmental and human catastrophes in years, with several countries beset by wildfires.

A report from Christian Aid calculated that drought caused by the extreme heat across Europe during the summer was likely to have cost 20bn and 20,000 deaths in excess of normal, with wildfires and agricultural losses particularly acute.

Wildfires across Europe proved costly not just in monetary terms, but also regarding emissions. Emissions from June to August were the highest summer total wildfire output estimated for the EU plus Britain in the last 15 years.

France, Spain, Germany, and Slovenia experienced their highest summer wildfire emissions for at least the last 20 years, the EU's climate change service Copernicus said.

Copernicus said in January that Europes summer was the hottest in recorded history by a clear margin, with all countries across the entire continent bar one experiencing annual temperatures above the 30-year average.

Autumn was the third warmest on record, only beaten by 2020 and 2006, while winter temperatures in 2022 were about 1C above average, ranking amongst the 10 warmest.

The continent experienced its second warmest June ever recorded at about 1.6C above average.

Read the rest here:
Artificial intelligence to help predict extreme heatwaves - Irish Examiner

Read More..

Applications of artificial intelligencemachine learning for detection … – Nature.com

Gupta R, Alam MA, Agarwal P. Modified support vector machine for detecting stress level using EEG signals. Comput Intell Neurosci. 2020;2020:8860841.

Article PubMed PubMed Central Google Scholar

Tan SY, Yip A. Hans Selye (19071982): founder of the stress theory. Singap Med J. 2018;59:170.

Article Google Scholar

Chrousos GP, Gold PW. The concepts of stress and stress system disorders. Overview of physical and behavioral homeostasis. JAMA. 1992;267:124452.

Article CAS PubMed Google Scholar

Chrousos GP. Stress and disorders of the stress system. Nat Rev Endocrinol. 2009;5:37481.

Article CAS PubMed Google Scholar

Smith SM, Vale WW. The role of the hypothalamic-pituitary-adrenal axis in neuroendocrine responses to stress. Dialog Clin Neurosci. 2006;8:383.

Article Google Scholar

Mastorakos G, Magiakou MA, Chrousos GP. Effects of the immune/inflammatory reaction on the hypothalamic-pituitary-adrenal axis. Ann NY Acad Sci. 1995;771:43848.

Article CAS PubMed Google Scholar

Papanicolaou DA, Wilder RL, Manolagas SC, Chrousos GP. The pathophysiologic roles of interleukin-6 in human disease. Ann Intern Med. 1998;128:12737.

Article CAS PubMed Google Scholar

Vgontzas AN, Bixler EO, Lin HM, Prolo P, Trakada G, Chrousos GP. IL-6 and its circadian secretion in humans. Neuroimmunomodulation. 2005;12:13140.

Article CAS PubMed Google Scholar

Koumantarou Malisiova E, Mourikis I, Darviri C, Nicolaides NC, Zervas IM, Papageorgiou C, et al. Hair cortisol concentrations in mental disorders: A systematic review. Physiol Behav. 2021;229:113244.

Article CAS PubMed Google Scholar

Bougea A, Anagnostouli M, Angelopoulou E, Spanou I, Chrousos G. Psychosocial and Trauma-Related Stress and Risk of Dementia: A Meta-Analytic Systematic Review of Longitudinal Studies. J Geriatr Psychiatry Neurol. 2022;35:2437.

Hatzimanolis A, Avramopoulos D, Arking DE, Moes A, Bhatnagar P, Lencz T, et al. Stress-dependent association between polygenic risk for schizophrenia and schizotypal traits in young army recruits. Schizophr Bull. 2018;44:33847.

Article PubMed Google Scholar

Mentis AA, Dardiotis E, Efthymiou V, Chrousos GP. Non-genetic risk and protective factors and biomarkers for neurological disorders: a meta-umbrella systematic review of umbrella reviews. BMC Med. 2021;19:6.

Article PubMed PubMed Central Google Scholar

Fromer M, Roussos P, Sieberts SK, Johnson JS, Kavanagh DH, Perumal TM, et al. Gene expression elucidates functional impact of polygenic risk for schizophrenia. Nat Neurosci. 2016;19:144253.

Article CAS PubMed PubMed Central Google Scholar

Hatzimanolis A, Bhatnagar P, Moes A, Wang R, Roussos P, Bitsios P, et al. Common genetic variation and schizophrenia polygenic risk influence neurocognitive performance in young adulthood. Am J Med Genet B Neuropsychiatr Genet. 2015;168b:392401.

Article PubMed Google Scholar

Purcell SM, Moran JL, Fromer M, Ruderfer D, Solovieff N, Roussos P, et al. A polygenic burden of rare disruptive mutations in schizophrenia. Nature. 2014;506:18590.

Article CAS PubMed PubMed Central Google Scholar

Roussos P, Giakoumaki SG, Zouraraki C, Fullard JF, Karagiorga VE, Tsapakis EM, et al. The relationship of common risk variants and polygenic risk for schizophrenia to sensorimotor gating. Biol Psychiatry. 2016;79:98896.

Article PubMed Google Scholar

Roussos P, Bitsios P, Giakoumaki SG, McClure MM, Hazlett EA, New AS, et al. CACNA1C as a risk factor for schizotypal personality disorder and schizotypy in healthy individuals. Psychiatry Res. 2013;206:1223.

Article CAS PubMed Google Scholar

Roussos P, Giakoumaki SG, Adamaki E, Georgakopoulos A, Robakis NK, Bitsios P. The association of schizophrenia risk D-amino acid oxidase polymorphisms with sensorimotor gating, working memory and personality in healthy males. Neuropsychopharmacology. 2011;36:167788.

Article CAS PubMed PubMed Central Google Scholar

Chan K, Lee T-W, Sample PA, Goldbaum MH, Weinreb RN, Sejnowski TJ. Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans Biomed Eng. 2002;49:96374.

Article PubMed Google Scholar

Colwell LJ. Statistical and machine learning approaches to predicting proteinligand interactions. Curr Opin Struct Biol. 2018;49:1238.

Article CAS PubMed Google Scholar

Makridakis S, Spiliotis E, Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PloS one. 2018;13:e0194889.

Article PubMed PubMed Central Google Scholar

Chatterjee P, Cymberknop LJ, Armentano RL. Nonlinear systems in healthcare towards intelligent disease prediction. Nonlinear systemstheoretical aspects and recent applications. IntechOpen 2019.

Chrousos GP, Kino T. Intracellular glucocorticoid signaling: a formerly simple system turns stochastic. Sciences STKE. 2005;2005:pe48.

PubMed Google Scholar

Flesia L, Monaro M, Mazza C, Fietta V, Colicino E, Segatto B, et al. Predicting perceived stress related to the Covid-19 outbreak through stable psychological traits and machine learning models. J Clin Med. 2020;9:3350.

Article CAS PubMed PubMed Central Google Scholar

OMURCA, Sevin lhan; EKINCI, Ekin. An alternative evaluation of post traumatic stress disorder with machine learning methods. In: Proceedings of the 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). IEEE, Madrid, Spain, 2015. p. 17

Alberdi A, Aztiria A, Basarab A. Towards an automatic early stress recognition system for office environments based on multimodal measurements: a review. J Biomed Inform. 2016;59:4975.

Article PubMed Google Scholar

Barua S, Begum S, Ahmed MU. Supervised machine learning algorithms to diagnose stress for vehicle drivers based on physiological sensor signals. In: Proceedings of the pHealth. IOS Press BV, Amsterdam, Netherlands, 2015. p. 2418.

Siegel CE, Laska EM, Lin Z, Xu M, Abu-Amara D, Jeffers MK, et al. Utilization of machine learning for identifying symptom severity military-related PTSD subtypes and their biological correlates. Transl Psychiatry. 2021;11:112.

Article Google Scholar

Galatzer-Levy IR, Ma S, Statnikov A, Yehuda R, Shalev AY. Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD. Transl Psychiatry. 2017;7:e1070e1070.

Article CAS PubMed Central Google Scholar

Agorastos A, Chrousos GP. The neuroendocrinology of stress: the stress-related continuum of chronic disease development. Mol Psychiatry. 2022;27:50213.

Article PubMed Google Scholar

Love BC. Comparing supervised and unsupervised category learning. Psychonom Bull Rev. 2002;9:82935.

Article Google Scholar

Camacho DM, Collins KM, Powers RK, Costello JC, Collins JJ. Next-generation machine learning for biological networks. Cell. 2018;173:158192.

Article CAS PubMed Google Scholar

Goecks J, Jalili V, Heiser LM, Gray JW. How machine learning will transform biomedicine. Cell. 2020;181:92101.

Article CAS PubMed PubMed Central Google Scholar

Rajkomar A, Dean J, Kohane I. Machine learning in medicine. N Engl J Med. 2019;380:134758.

Article PubMed Google Scholar

Schwalbe N, Wahl B. Artificial intelligence and the future of global health. Lancet. 2020;395:157986.

Article CAS PubMed PubMed Central Google Scholar

Vollmer S, Mateen BA, Bohner G, Kirly FJ, Ghani R, Jonsson P. et al. Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ. 2020;368:6927

Article Google Scholar

Peterson ED. Machine learning, predictive analytics, and clinical practice: can the past inform the present? JAMA. 2019;322:22834.

Article PubMed Google Scholar

Mesk B, Grg M. A short guide for medical professionals in the era of artificial intelligence. npj Digit Med. 2020;3:18.

Article Google Scholar

Harrison JH, Gilbertson JR, Hanna MG, Olson NH, Seheult JN, Sorace JM, et al. Introduction to artificial intelligence and machine learning for pathology. Arch Pathol Lab Med. 2021;145:122854.

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25:4456.

Article CAS PubMed Google Scholar

Bates DW, Auerbach A, Schulam P, Wright A, Saria S. Reporting and implementing interventions involving machine learning and artificial intelligence. Ann Intern Med. 2020;172:S137S144.

Article PubMed Google Scholar

Hinton G. Deep learninga technology with the potential to transform health care. Jama. 2018;320:11012.

Article PubMed Google Scholar

Mentis AA, Garcia I, Jimnez J, Paparoupa M, Xirogianni A, Papandreou A, et al. Artificial intelligence in differential diagnostics of meningitis: a nationwide study. Diagnostics. 2021;11:602.

Article CAS PubMed PubMed Central Google Scholar

Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, et al. A deep learning framework for neuroscience. Nat Neurosci. 2019;22:176170.

Article CAS PubMed PubMed Central Google Scholar

Sawalha J, Cao L, Chen J, Selvitella A, Liu Y, Yang C, et al. Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests. J Affect Disord. 2021;282:6628.

Article PubMed Google Scholar

Le-Niculescu H, Roseberry K, Levey D, Rogers J, Kosary K, Prabha S, et al. Towards precision medicine for stress disorders: diagnostic biomarkers and targeted drugs. Mol Psychiatry. 2020;25:91838.

Article CAS PubMed Google Scholar

Oquendo M, Baca-Garcia E, Artes-Rodriguez A, Perez-Cruz F, Galfalvy H, Blasco-Fontecilla H, et al. Machine learning and data mining: strategies for hypothesis generation. Mol Psychiatry. 2012;17:9569.

Article CAS PubMed Google Scholar

Passos IC, Mwangi B. Machine learning-guided intervention trials to predict treatment response at an individual patient level: an important second step following randomized clinical trials. Mol Psychiatry. 2020;25:7012.

Article PubMed Google Scholar

Durstewitz D, Koppe G, Meyer-Lindenberg A. Deep neural networks in psychiatry. Mol Psychiatry. 2019;24:158398.

Article PubMed Google Scholar

Hedderich DM, Eickhoff SB. Machine learning for psychiatry: getting doctors at the black box? Mol Psychiatry. 2021;26:2325.

Article PubMed Google Scholar

Bracher-Smith M, Crawford K, Escott-Price V. Machine learning for genetic prediction of psychiatric disorders: a systematic review. Mol Psychiatry. 2021;26:709.

Article PubMed Google Scholar

Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019;17:19.

Article CAS Google Scholar

Comparison of heart rate variability measures for mental stress detection. In: Proceedings of the computing in cardiology. 2011. IEEE.

Read more:
Applications of artificial intelligencemachine learning for detection ... - Nature.com

Read More..

IDrive e2 Offers Hot Object Storage that is 85% More Affordable … – PR Newswire

LOS ANGELES, April 7, 2023 /PRNewswire/ -- IDrive e2, a high performance S3 compatible object storage platform, is offering their service for a fraction of the cost of Amazon S3, starting at a price point that is 85% less and enabling users to save money when storing large amounts of data securely in the cloud.

IDrive e2 is an object storage solution that is designed to provide users with the flexibility and scalability they need to manage their data effectively. It is suitable for data backup/archival, hosting applications, media workflow, gaming assets, e-commerce resources, and other large volumes of data.

With a tierless pricing approach, IDrive e2 is the most affordable object storage solution on the market, with pricing starting at $0.004/GB/month. The service offers no egress fees, as well as being one of the few solutions available that does not charge an extra fee for downloading data. IDrive e2 also offers a free 7 day trial with 1TB of space for prospective users to test the service.

IDrive e2 offers a host of cost-saving options, features and pricing packages that Amazon S3 either doesn't offer or charges extra for, helping e2 users save when storing and recovering data. These include:

The IDrive e2 service stores petabytes of data that users can retrieve based on their convenience using associated access key ID and secret access key. Enterprise users can access data directly from the IDrive e2 web console or via third-party tools like Rclone, MSP360, Duplicati, etc. Users can use the web console platform to secure their data, manage users, control account settings, and more.

With 14 edge computing locations across North America and Europe, IDrive e2 enables users across the globe to point their data to the location closest to them for a faster network and ease of access, as well as being able to retrieve their data quickly based on their convenience. This provides the fastest possible response time for all S3 API calls no matter what region the user is located in.

To keep user data safe and secure, IDrive e2 transmits all files using an encrypted TLS connection. Developers can also set Server-Side Encryption on e2 buckets. Data is stored in enterprise-class data centers equipped with state-of-the-art facilities with custom-designed elevated floors, HVAC temperature control systems with designated cooling zones, seismically-braced racks, and physical security features. The data centers are periodically checked for vulnerabilities in the network infrastructure with third-party audits.

About IDrive IDrive Inc. is a privately held company specializing in cloud storage, online backup, file sharing, remote access, compliance and related technologies. Core services include IDrive, IDrive e2, RemotePC and IBackup.The company's services help over 4 million customers back up over 500 Petabytes of data.

SOURCE IDrive Inc.

Read the original:
IDrive e2 Offers Hot Object Storage that is 85% More Affordable ... - PR Newswire

Read More..