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Its Been a Boring Week for Bitcoin and Ethereum Prices. Dont Expect It to Stay That Way, Experts Say – NextAdvisor

July 6, 2022 | Author: admin

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Bitcoin and ethereum have been boring lately.

Considering 15% daily swings are the norm in the crypto market, prices havent moved much in the last few days, with bitcoin holding steady near the $19,000 to $20,000 range and ethereum floating around $1,100. The two largest cryptocurrencies seem to be hovering around their current price levels with no clear direction in sight.

At this point, $19,000 to $20,000 is quite simply prior highs from the last major bull market in 2017, says Stphane Ouellette, CFA and founder of FRNT Financial, an institutional capital markets and advisory platform focused on digital assets. In other words, its difficult to predict what happens next and when. The bitcoin and ethereum futures curves are completely flat, implying that the market is also entirely uncertain of future direction, he says.

Still, the crypto market remains under intense pressure, with the possibility looming of another downturn. How low bitcoin goes in the coming weeks or months will depend on whether the stock market made a bottom and if no major crypto company falls into liquidation, according to Edward Moya, a senior market analyst at OANDA, a brokerage firm.

A plethora of bearish crypto headlines continues to drag down bitcoin below key technical levels. Sentiment will take some time to improve, especially after many anticipated crypto deals are falling apart, says Moya, referring to crypto exchange eToro abandoning a deal to go public via SPAC merger, while many troubled companies like BlockFi and Voyager are scrambling for deals to stay afloat.

Bitcoin on Wednesday was up nearly 2.5% in the last 24 hours, trading near $20,000. Ethereums price held steady near $1,100, up 3% in the last 24 hours. Though the two largest cryptos have experienced a small rebound in the last day, experts say were not out of the danger zone yet.

Bitcoin and ethereum have lost more than two-thirds of their value since last November, and experts predict crypto prices could drop even further now that bitcoins price has dipped below $20,000 several times in recent weeks. On top of that, investors are still feeling uncertainty about the current economic conditions like surging inflation, a potential recession in the U.S., rising interest rates, and a shaky stock market.

Bitcoin is stuck in its current trading range because of the nervousness of market participants, says Joshua Fernando, CEO of eCarbon. They have seen wild fluctuations in the past few months that have devastated the market, so it is reasonable that they are now trading cautiously.

Martin Hiesboeck, head of blockchain and crypto research at Uphold, says bitcoin is not moving much below or above the $20,000 level because of lack of stimuli.

There is no doubt that the market is waiting for macroeconomic news and less tension in geopolitical matters with the war in Ukraine, the specter of inflation, and possible recession being by far the biggest worries, he says.

So, what should crypto investors do in light of this? Nothing, experts say. If youve invested in crypto for the long-term using a buy-and-hold strategy, price swings are to be expected and big dips are nothing to be overly worried about.

Experts recommend keeping your cryptocurrency investments to under 5% of your portfolio, as long as your crypto investments dont stand in the way of your other financial goals. Always prioritize saving for an emergency, paying off high-interest debt, and contributing to a traditional retirement plan before ever investing in crypto. If youre a good spot financially and ready to enter the market, experts say now may be a good time to buy bitcoin or ethereum while prices are low, keeping in mind that prices could fall down more.

Perhaps like equities, investors just got a little carried away in the buy everything frenzy of 2021 and are sitting on the sidelines waiting for signs that equilibrium has been reestablished, and the bull market is back on, says Fernando.

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Bitcoin-friendly Prspera hits back at controversy in The Guardian – Cointelegraph

July 6, 2022 | Author: admin

The leadership of the crypto-friendly charter city of Prspera in Honduras has hit back at reports it is facing a backlash from residents of the neighboring community of Crawfish Rock over its expansion plans.

A July 5 article from The Guardian reported the special economic zone, touted as an island paradise with low taxes/fiscal responsibility, luxury homes and crypto-friendly regulation has seen pushback from some residents of the Crawfish Rock community.

Some residents are reportedly concerned about being displaced from their homes due to Prsperas potential expansion plans, with the article describing the projects headquarters as sitting amid a landscape scarred by a bulldozer and deep holes dug for the foundation of the next phase of construction.

Its another salvo against the Bitcoin-loving city, which has been battling with the Honduras government after it repealed a Zones for Employment and Economic Development (ZEDEs) legislation in April, which was a key piece of legislation that would allow it to operate as a self-governed fully autonomous zone.

A lengthy Twitter thread from Prspera and articleby general counsel Nick Dranias on July 6 however, claimed that articles such as the one from The Guardian as just another example of a barrage of lies and misinformation from the mainstream media.

Drani outlines three key myths allegedly being disseminated by mainstream media including:

Myth #1: The Prspera team did not adequately socialize the project prior to launch.

Myth #2: Prspera is an ideological/crypto/libertarian project.

Myth #3: In Honduras, the Prspera ZEDE expropriated land from locals.

A Prspera representative told Cointelegraph that in general, the community response has been positive bar a select few:

Prspera Global also claims on Twitter that the supposed bulldozer scraped lands are construction sites for environmentally friendly low-cost housing available to any islanders, with the building jobs serving as a source of employment for the local community.

Prspera has been locked in a legal standoff with the government since President Castro repealed the ZEDE law in April, which would give the project 12 months to register under a different framework such as a Free Zone which would offer tax cuts but not allow self governance.

At the start of June, Prspera submitted a request for government consultations under the Investment Chapter of the Dominican RepublicCentral AmericaUnited States Free Trade Agreement (CAFTA-DR), in a bid to maintain its ZEDE status under the legal terms of the initial agreement.

Related: Bitcoin exchange outflows surge as 'not your keys, not your crypto' comes back into fashion

Honduras Prspera Inc. has remained staunch that its registration as a ZEDE has a valid legal stability for at least another 50 years due to the legal framework of the agreement it signed with the government back in 2017. In a June 4 blog post, the firm noted that:

The company stated it hopes to avoid an international investor-state arbitration and hopes that the government will act in good faith to the initial ZEDE agreement. The firm plans to invest hundreds of millions of dollars more in the coming years, and In April, Honduras Prspera Inc. raised $60 million to invest in the project despite the ZEDE repeal.

The representative added that the government is yet to formally respond to our request for official consultation.

Prspera is a privately-managed settlement in Honduras managed byHonduras Prspera Inc. The initial size of the Prspera Village is 58 acres and contains areas for its headquarters, housing, and areas for businesses to set up shop. Its size can grow over time if local landowners agree to integrate their properties into the ZEDE territory.

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Will Marathon Digital Join Other Miners In Selling Bitcoin? CEO Weighs In – Bitcoin Magazine

July 6, 2022 | Author: admin

Bitcoin miners have historically sold BTC as they produced it to cover operating costs. But over the past couple of years a HODL strategy has permeated the industry as participants have opted to pay off expenses with debt instead.

Miners racked up much bitcoin- and equipment-backed financing to raise a combined $4 billion in capital for daily expenditures as bids to keep increasing bitcoin treasuries rose in the industry.

While that strategy worked fine during the 2020-2021 bull market, when the bitcoin price was increasing and capital was easier to raise, over-leveraged miners have come under extreme pressure this quarter as the cryptocurrency lost over 70% of its U.S. dollar value.

Consequently, with current macroeconomic conditions impairing companies abilities to raise capital and a bleeding bitcoin price, many public miners saw themselves with no other option than to give up on their HODL mentality.

In May, most public miners started selling considerable amounts of bitcoin to pay off debt or recurring costs, and the trend has apparently not died off. While some have sold only periodically their mined BTC since then, others have opted to part ways with some of the coins they had put in the balance sheet in previous months.

In June, Riot Blockchain sold 300 BTC, while CleanSpark sold 328. Core Scientific, however, went a bit further and dumped 78.6% of its bitcoin holdings for $167 million, which it said were primarily used for payments for ASIC servers, capital investments in additional data center capacity and scheduled repayment of debt. The firm added that it will continue to sell self-mined bitcoins to pay operating expenses, fund growth, retire debt and maintain liquidity. Bitfarms also sold a considerable chunk of its holdings over 3,000 BTC last month. Meanwhile, Marathon Digital Holdings and HUT 8 remain depositing monthly bitcoin production into custody.

Bitcoin Magazine Pro/Company Filings

Marathon has been able to keep holding its bitcoin so far partly because of its operations structure. Contrary to some other big miners, the firm doesnt seek to vertically integrate; rather, it outsources most of its operations while retaining ownership of its miners, which incurs costs only when the machines are online and hashing.

I dont have to worry about land leases, buying transformers, buying containers, building buildings, paying deposits to the energy providers, et cetera. What we do is we contract with a hosting provider with a fixed price, Marathon CEO Fred Thiel told Bitcoin Magazine.

So our model means that in times like this, we can literally just sit on our miners and, if we have to, operate at a very low cost, he continued. Because were not having to prefund these big CapEx [capital expense] investments. So it gives us an advantage in this current market situation.

While this lean structure has allowed Marathon, which is the largest bitcoin holder among public bitcoin miners, to forgo selling bitcoin thus far, the company could soon start selling some of its produced BTC, Thiel suggested.

The executive explained that while the company currently is one of the very few miners who havent sold bitcoin amid a broader market slump, future market conditions might lead to a change in the companys strategy.

If bitcoin remains at these levels, it could be prudent for us to at least sell bitcoin as were mining it, enough to cover the current expenses, Thiel said. Were currently not looking at necessarily selling our stockpile of bitcoin, but again, if it makes sense for us to do that from a capital perspective, then we would.

Thiel highlighted that different price action by bitcoin will incur different actions from Marathon as the company seeks to navigate the current market; the executive hinted at three possible scenarios.

If the situation remains status quo with the bitcoin price bouncing between $18,000 and $22,000, theres one strategy. If bitcoin drops below that, theres another strategy. And if bitcoin goes above that, theres a third strategy, Thield said, declining to provide more details.

I prefer just not to go deeper than say that there may come conditions where we would sell the bitcoin as we mine it to cover operating expenses, and there may come a point where we would sell some of our stockpiling to cover CapEx if we needed to.

While a sustained period of time in current levels could require Marathon to sell its monthly production, as Thiel explained, the firm would only be pressured to sell its accumulated BTC and risk losing its status as the largest public miner bitcoin holder if price began ticking lower. On the other hand, a rally would allow Marathons HODL strategy to remain intact.

Its just my personal belief that bitcoin is gonna grind along at these levels until something changes in the macro environment and people are willing to invest in risk-on assets again, Thiel theoreticized.

And that may come in the latter part of this year or next year, who knows at this point? Its really going to be very dependent on the Federal Reserve and the degree to which we enter into recession and the economy, right?

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Analyst Predicts Rallies for Two of Ethereums Biggest Rivals, Says Bitcoin Could Bounce Harder Than Trad… – The Daily Hodl

July 6, 2022 | Author: admin

A popular analyst is predicting if and when three cryptos can break out of the lingering market downtrend to achieve a short-term rally.

Pseudonymous crypto trader Altcoin Sherpa tells his 180,000 Twitter followers hes not encouraged by altcoins on their one-hour to daily high time frame [HTF] charts but thinks there could be temporary upside potential for certain projects.

Sherpa thinks both Cosmos (ATOM) and layer-1 scaling solution NEAR Protocol (NEAR) can do well.

The HTF market structure is still incredibly bearish for many altcoins but if we see a bit more chop/grinding + these bottom type of patterns playing out, I think well see a short-term move up.

Some potential double bottoms/[cup and handle]/etc. type of charts out there for now.

At time of writing, Cosmos is up by 4.33% over the last 24 hours and trading for $9.06.

Next Altcoin Sherpa provides a look at Ethereum (ETH) competitor NEAR.

NEAR Protocol is down just shy of 2% on the day with an asking price of $3.44.

Moving on to the largest crypto asset by market cap Bitcoin (BTC), Altcoin Sherpa says that despite Bitcoins six-month-plus downward trajectory, he foresees another BTC rally mirroring its rise in late March and early April.

Every single consolidation has resulted in a breakdown on high-time-frame charts. Is this time going to be the same?

Theres going to be another bear-market rally similar to March/April 2022; I dont know when/where itll happen though (or how high).

The analyst then tells his 10,300 YouTube subscribers he thinks its possible Bitcoin could rally as high as $30,000 during the next upswing.

Youre really looking for potentially a bear market rally where price is going to potentially rally harder than you think.

It could look like a move all the way up to $30,000. I dont know if it has the strength to get up there, but it is a scenario that Im viewing.

Altcoin Sherpa concludes his remarks by pinpointing $12,000 as a potential bear cycle low for Bitcoin, before adding that BTCs price might ultimately be determined by the equities markets rather than its merits or demand alone.

This last kind of bearish retest that we saw in late March, that was kind of the last real bearish retest that we saw. Everything else has just been consolidation, breakdown, consolidation, breakdown. Now were at consolidation.

We certainly could just see another breakdown to $12,000 or wherever. But there is going to be another bear market rally, I dont know what its going to look like or how strong its going to be, but as I said its really going to largely depend on equities, in my opinion.

Thats really just the nature of it, unfortunately.

Bitcoin is currently up by 2.12% over the last 24 hours and changing hands for $20,400.

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Featured Image: Shutterstock/vvaldmann

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SEC Still Against Spot-based Bitcoin ETFs. Is There A Light At The End Of The Tunnel? – NewsBTC

July 6, 2022 | Author: admin

With the approvals of futures bitcoin ETFs, firms have taken it one step further and have applied with the Securities and Exchanges Commission (SEC) for spot-based bitcoin ETFs. However, unlike their futures and short counterparts, the spot ETFs have not found favor in the eyes of the regulatory watchdog. And as more spot-based bitcoin ETF applications are declined by the SEC, questions have arisen about whether the market will see one anytime soon.

Over the last month, anticipation had built up regarding spot-based Bitcoin ETF filings by both Grayscale and Bitwise. Grayscale had filed its application last year, with the SEC postponing its decision multiple times, but the firm had remained steadfast in its resolve to try to get approval for a spot bitcoin ETF. The final decision had come last week and it was indeed negative as experts had forecasted.

Grayscale had received a rejection on its application but it was not the only one. Bitwise had also made a filing for a spot BTC ETF and the SEC had also put a stamp of rejection on it too. The latter had filed to convert its popular Grayscale Bitcoin Trust (GBTC) to a spot-based ETF. The fund which has $12.35 billion is the largest bitcoin trust and is looking to move to the next level.

Related Reading |Mounting Support For Bitcoin At $19,000 As Market Ushers In A New Week

At the rejection, Grayscale had swiftly filed a lawsuit against the SEC alleging that the regulatory body has no reason to actually deny its application. Michael Sonnenshein, CEO of Grayscale, lamented the fact that the SEC had green-lighted four futures bitcoin ETFs in less than one year but had refused to approve any spot-based BTC ETF, accusing them of acting arbitrary and capricious.

However, the SEC has said that the rejection was due to fears about market manipulations in the bitcoin spot markets, the role that the stablecoin Tether will play in this, and the overall lack of regulated exchanges and surveillance in the bitcoin market.

Bitwise on the other hand has not made any move following the rejection and seems to be taking this one on the chin.

With the rejection, the reality of a spot-based bitcoin ETF coming to the market has been pushed back once more. Given the time frame that it took for the SEC to make a decision on these ETFs, it is expected that filing and getting a decision on another spot-based ETF could take almost two years or about 18 months. This means that it is unlikely that the market will see a spot-based BTC ETF this year contrary to what was forecasted by market analysts in 2021.

Nevertheless, Grayscale has not backed down on its mission to turn the GBTC into a spot-based ETF. The lawsuit is still in its early stages but the CEO has expressed hope that they would receive a decision in the next year.

Related Reading |Institutional Investors Remain Bearish As Short Bitcoin Sees Record Inflows

Grayscales GBTC still continues to trade at a heavy discount and the firms annual management fee is firmly at 2%. This means that if its filing to convert to a spot-based ETF is not approved in the next two decades and fails to remain close-ended, it would be unable to justify the discount at which it is currently trading. However, with the firms drive to gain approval from the SEC, it is not a stretch to think that it would get it in the next 20 years.

Follow Best Owie on Twitter for market insights, updates, and the occasional funny tweet

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Will Bitcoin ever go back to $60K? Here is what experts say. – Cryptopolitan

July 6, 2022 | Author: admin

Bitcoin has seen its place as the leading coin of the global crypto market as its market dominance has remained more than 40%. It was the first coin that began the era of cryptocurrencies and was followed by names like Ethereum, Binance Coin, etc. It has seen several rallies since its advent and has fluctuated in value.

The recent changes have proved detrimental to its price as it saw a free-fall from its all-time high. These changes have disappointed some investors who were expecting it to rise further. While others have referred to it as the price correction, which was necessary because of the mad influx of funds. According to the latter group, it will bring sanity to the investors, and only those who understand the market will remain.

Here is a brief overview of the current situation of Bitcoin and whether it will be able to revive its value.

Bitcoin started with a value of less than a fraction of a penny, and then it saw its rise. For the first time, its price rose to $0.09 in 2010, and since then, it has continued staggering growth. It was initially developed as a hedge against inflation, to conduct transactions, and use for storage of value. These functions continued to enhance, and later it drew the attention of economists, financial experts, and corporate groups leading to its speedy rise.

It was in May 2017 when Bitcoin price rose to $20K, but then it fell to $10K in June 2019. The fluctuations continued and rose to $29K in December 2020. Later, the value continued to rise, and the result was the ATH in November 2021, when its price rose to $68,991. The following months proved the worst for Bitcoin as it saw a continuous decline, whereas its price has been lurching in the $20K range in July 2022.

There are various reasons for the fall of Bitcoin, including bearish global markets, an increase in US inflation rates, the Russia-Ukraine war, crypto hacks, scams, etc. These have resulted in decreased trust in the market because of increased losses.

There have been different views about the revival or further decline of Bitcoin. There are two groups; one is against investment in Bitcoin, while the other sees Bitcoin as the future of modern decentralized finance. They have debated the future of Bitcoin and tried to convince their followers.

Robert Kiyosaki, a renowned author, has continuously talked about the fall of Bitcoin to $1,100. He has predicted that the fall of Bitcoin will continue as there is no future for it. Dan Roseman from Coinality.com has criticized how Bitcoin works and sees its reliable future if the mining process is altered. It can save the losses borne due to volatility and will bring the market stability.

Ian Balina, founder and head of Token Metrics, says that Bitcoin can cross $100K and will even touch $150K. According to her, it is a new emerging asset going through a correction phase and will soon turn bullish. Though macroeconomic factors have also affected its price value, it will likely improve in the coming months.

Financial institutions like J. P. Morgan and Bloomberg predict its price will exceed $100K. So, the investors await the change in its value as it is currently lingering at lows.

There is currently a bearish situation ongoing for BTC. These changes have deprived it of more than half of its value. Its all-time high now seems a tale from the past. Experts are divided about whether it will see improvement in the upcoming months or further lose value. The indicators suggest that it is improving, but changes on the ground will determine it. Investors and experts are positive about this coin as it is seen as the future of DeFi.

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‘Wolf Of Wall Street’ Advises On Bitcoin Crash And Best Time To Get Into Ultra-Low Cap Crypto – Benzinga

July 6, 2022 | Author: admin

Jordan Belfort, the former stockbroker known as The Wolf of Wall Street, shared his views onBitcoinsBTC/USD 70% drawdown and the state of the cryptocurrency market.

What Happened:In a recent interview with Yahoo FinancesThe Crypto Mile, Belfort said Bitcoin was far from being a hedge against inflation in its current state.

"There is no real institutional ownership in Bitcoin. For instance, you don't have a teacher's pension fund owning Bitcoin for a ten-year hedge," he said.

When it comes to cryptocurrency, Belfort said he has two strategies for investing. One is to bet on the long-term fundamentals of a promising project, while the other is to gamble on ultra-low cap coins early on.

You get a hold of one of those things at the right time, you could make just massive, massive money, said Belfort.

But on the flip side, youre playing in someone elses playground.

According to Belfort, there is no amount of research that an individual can do to protect themselves from these ultra-low cap investments except getting in really, really early.

Whats going to end up happening is, its going to take its ride up, and then when it gets to the top, people are going to dump it.

In his view, all cryptocurrencies have the same predictable cycle and never recover once they fall from their peak prices. The best time to get into these assets, according to Belfort, is before they begin trading on centralized exchanges likeCoinbase Global IncCOIN, and when they are still on decentralized exchanges, or better still, a crypto launch pad.

Price Action:At press time, Bitcoin was trading at $20,228, up just 0.04% over 24 hours, as per data fromBenzinga Pro.

Photo viaseeshooteatrepeaton Shutterstock

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Statistics and Machine Learning Toolbox – MATLAB

July 4, 2022 | Author: admin

Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis; fit probability distributions to data; generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML.

For multidimensional data analysis and feature extraction, the toolbox provides principal component analysis (PCA), regularization, dimensionality reduction, and feature selection methods that let you identify variables with the best predictive power.

The toolbox provides supervised, semi-supervised, and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted decision trees, shallow neural nets, k-means, and other clustering methods. You can apply interpretability techniques such as partial dependence plots, Shapley values and LIME, and automatically generate C/C++ code for embedded deployment. Native Simulink blocks let you use predictive models with simulations and Model-Based design. Many toolbox algorithms can be used on data sets that are too big to be stored in memory.

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Researchers use AI to predict crime, biased policing in cities – Los Angeles Times

July 4, 2022 | Author: admin

For once, algorithms that predict crime might be used to uncover bias in policing, instead of reinforcing it.

A group of social and data scientists developed a machine learning tool it hoped would better predict crime. The scientists say they succeeded, but their work also revealed inferior police protection in poorer neighborhoods in eight major U.S. cities, including Los Angeles.

Instead of justifying more aggressive policing in those areas, however, the hope is the technology will lead to changes in policy that result in more equitable, need-based resource allocation, including sending officials other than law enforcement to certain kinds of calls, according to a report published Thursday in the journal Nature Human Behavior.

The tool, developed by a team led by University of Chicago professor Ishanu Chattopadhyay, forecasts crime by spotting patterns amid vast amounts of public data on property crimes and crimes of violence, learning from the data as it goes.

Chattopadhyay and his colleagues said they wanted to ensure the system not be abused.

Rather than simply increasing the power of states by predicting the when and where of anticipated crime, our tools allow us to audit them for enforcement biases, and garner deep insight into the nature of the (intertwined) processes through which policing and crime co-evolve in urban spaces, their report said.

For decades, law enforcement agencies across the country have used digital technology for surveillance and predicting on the belief it would make policing more efficient and effective. But in practice, civil liberties advocates and others have argued that such policies are informed by biased data that contribute to increased patrols in Black and Latino neighborhoods or false accusations against people of color.

Chattopadhyay said previous efforts at crime prediction didnt always account for systemic biases in law enforcement and were often based on flawed assumptions about crime and its causes. Such algorithms gave undue weight to variables such as the presence of graffiti, he said. They focused on specific hot spots, while failing to take into account the complex social systems of cities or the effects of police enforcement on crime, he said. The predictions sometimes led to police flooding certain neighborhoods with extra patrols.

His teams efforts have yielded promising results in some places. The tool predicted future crimes as much as one week in advance with roughly 90% accuracy, according to the report.

Running a separate model led to an equally important discovery, Chattopadhyay said. By comparing arrest data across neighborhoods of different socioeconomic levels, the researchers found that crime in wealthier parts of town led to more arrests in those areas, at the same time as arrests in disadvantaged neighborhoods declined.

But, the opposite was not true. Crime in poor neighborhoods didnt always lead to more arrests suggesting biases in enforcement, the researchers concluded. The model is based on several years of data from Chicago, but researchers found similar results in seven other larger cities: Los Angeles; Atlanta; Austin, Texas; Detroit; Philadelphia; Portland, Ore.; and San Francisco.

The danger with any kind of artificial intelligence used by law enforcement, the researchers said, lies in misinterpreting the results and creating a harmful feedback of sending more police to areas that might already feel over-policed but under-protected.

To avoid such pitfalls, the researchers decided to make their algorithm available for public audit so anyone can check to see whether its being used appropriately, Chattopadhyay said.

Often, the systems deployed are not very transparent, and so theres this fear that theres bias built in and theres a real kind of risk because the algorithms themselves or the machines might not be biased, but the input may be, Chattopadhyay said in a phone interview.

The model his team developed can be used to monitor police performance. You can turn it around and audit biases, he said, and audit whether policies are fair as well.

Most machine learning models in use by law enforcement today are built on proprietary systems that make it difficult for the public to know how they work or how accurate they are, said Sean Young, executive director of the University of California Institute for Prediction Technology.

Given some of the criticism around the technology, some data scientists have become more mindful of potential bias.

This is one of a number of growing research papers or models thats now trying to find some of that nuance and better understand the complexity of crime prediction and try to make it both more accurate but also address the controversy, Young, a professor of emergency medicine and informatics at UC Irvine, said of the just-published report.

Predictive policing can also be more effective, he said, if its used to work with community members to solve problems.

Despite the studys promising findings, its likely to raise some eyebrows in Los Angeles, where police critics and privacy advocates have long railed against the use of predictive algorithms.

In 2020, the Los Angeles Police Department stopped using a predictive-policing program called Pred-Pol that critics argued led to heavier policing in minority neighborhoods.

At the time, Police Chief Michel Moore insisted he ended the program because of budgetary problems brought on by the COVID-19 pandemic. He had previously said he disagreed with the view that Pred-Pol unfairly targeted Latino and Black neighborhoods. Later, Santa Cruz became the first city in the country to ban predictive policing outright.

Chattopadhyay said he sees how machine learning evokes Minority Report, a novel set in a dystopian future in which people are hauled away by police for crimes they have yet to commit.

But the effect of the technology is only beginning to be felt, he said.

Theres no way of putting the cat back into the bag, he said.

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Global Deep Learning Market Is Expected To Reach USD 68.71 Billion At A CAGR Of 41.5% And Forecast To 2027 – Digital Journal

July 4, 2022 | Author: admin

Deep Learning Market Is Expected To Reach USD 68.71 Billion By 2027 At A CAGR Of 41.5 percent.

Maximize Market Research has published a report on theDeep Learning Marketthat provides a detailed analysis for the forecast period of 2021 to 2027.

Deep Learning Market Scope:

The report provides comprehensive market insights for industry stakeholders, including an explanation of complicated market data in simple language, the industrys history and present situation, as well as expected market size and trends. The research investigates all industry categories, with an emphasis on key companies such as market leaders, followers, and new entrants. The paper includes a full PESTLE analysis for each country. A thorough picture of the competitive landscape of major competitors in the Deep Learning market by goods and services, revenue, financial situation, portfolio, growth plans, and geographical presence makes the study an investors guide.

Request For Free Sample @https://www.maximizemarketresearch.com/request-sample/25018

Deep Learning Market Overview:

Deep learning, also known as deep structured learning, is a subclass of machine learning that uses layered computer models to analyze data. It is an essential component of data science, which uses statistics and prescriptive analytics to gather, evaluate, and understand massive volumes of data. It also involves the application of artificial intelligence (AI) to mimic how the human brain processes data, generate trends and makes decisions. This technology is widely utilized in facial recognition software, natural language processing (NLP) and voice synthesis software, self-driving vehicles, and language translation services, and it performs several roles in commerce, healthcare, automobile, farming, military, and industrial settings.

Deep Learning MarketDynamics:

The rising usage of cloud-based services, as well as the large-scale generation of unstructured data, has raised the demand for deep learning solutions. Besides that, the growing number of robotic devices, such as Sophia, produced by Hanson Robotics, as well as the growing implementations of deep learning in recent years for image/speech recognition, data processing, and language explanations, are some of the key drivers of the deep learning industry. The increased efforts of key market participants in developing machine learning and deep learning techniques in the field are expected to drive market growth. Likewise, the rapid increase in the volume of data created in numerous end-use sectors is estimated to driveindustry growth. Also, the increased need for human-machine interaction is creating new possibilities for software vendors to supply enhanced services and skills.

Furthermore, the predominance of deep learning incorporation with big data analytics, as well as the rapidly increasing need to boost processing capacity and reducehardware costs due to deep learning algorithms capacity to perform or execute faster on a GPU as compared to a CPU, is culminating in public adoption of deep learning technologies across industries, which is estimated to drive theglobal growth.

Various setbacksare anticipated to hinder theoverall market growth. The lack of standards and protocols, as well as a lack of technical expertise in deep learning, are limiting industry growth. Additionally, complex integrated systems, as well as the integration of deep learning solutions and software into legacy systems, are time-consuming processes that impede growth.

Deep Learning MarketRegional Insights:

North America is anticipated todominate the global Deep Learning market at the end of the forecastperiod. By 2027, North America is expected to have the greatest market share of nearly 40 percent. This is due to increased investment in artificial intelligence and neural networks. The regions significant use of imaging and monitoring applications is expected to provide new growth opportunities over the forecast period. Likewise, the region is a modern technology pioneer, allowing enterprises to expedite the implementation of deep learning capability.

Deep Learning MarketSegmentation:

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By Architecture Industry:

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Deep Learning Market Key Competitors:

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Global Deep Learning Market Is Expected To Reach USD 68.71 Billion At A CAGR Of 41.5% And Forecast To 2027 - Digital Journal

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