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Azure Emissions Dashboard shows how you and Microsoft are slowly killing the planet with your cloud workloads – The Register

October 15, 2021 | Author: admin

Microsoft has made its Emissions Impact Dashboard - formerly known as Sustainability Calculator and designed to measure the carbon impact of cloud workloads - generally available.

If that sounds familiar, it may be because Google this week made a big deal of its Carbon Footprint preview, which claims to "measure, report and reduce your cloud carbon emissions."

Corporations are under pressure to do something about sustainability and the ability to report on carbon usage is a starting point. Hence Microsoft's post referencing customers like the Bhler Group, which "saw the need to track Scopes 1, 2, and 3 emissions" and can now use the Dashboard to do so.

Emission scopes: Scope 3 is big but hard to measure

What are these scopes? All is explained in this white paper, which says that Scope 1 is direct emissions such as from fuel for backup power generators, Scope 2 is emissions from energy consumed, primarily electricity, and Scope 3 is indirect emissions including such things as manufacturing and delivering servers and racks.

"For many organizations (apart from certain direct-emission heavy sectors such as manufacturing and energy), their Scope 3 emissions are much larger than their Scope 1 and 2 emissions," the paper states.

These scopes are part of the Greenhouse Gas (GHG) Protocol, an international team which develops standards for quantifying emissions, created by the World Resources Initiative and the World Business Council for Sustainable Development. Microsoft is listed as one of the companies providing funding for the GHG Protocol but Google is not.

What does Google's Carbon Footprint measure? According to the methodology, it covers "Google Cloud product electricity use" and "upstream emissions associated with electricity generation facilities and fuels, for most of the electricity load." It "does not include direct emissions or indirect emissions related to the value chain (respectively Google's Scope 1 and Scope 3 in the Greenhouse Gas (GHG) Protocol carbon reporting standards)," the docs say. The likely conclusion is that the Carbon Footprint dashboard is not an accurate measure of the actual carbon footprint of GCP usage, whereas Microsoft is at least having a stab at it.

Microsoft's Emission Impact Dashboard

That said, there are a few problems with Microsoft's approach. One is that whereas Google's Carbon Footprint is simply part of the GCP console, Microsoft's Emissions Impact Dashboard is a Power BI Pro application that requires setup and cost. "The Emissions Impact Dashboard runs on Power BI Pro. Get the Power BI Pro free trial," say the setup docs.

Scope 3 impact is hard to measure reliably and in the end measuring the power consumed by cloud resources is perhaps the thing of most value when it comes to cloud dashboards like this. There is also an argument that public cloud is inherently more efficient, thanks to shared resources, than on-premises computing, even if it may also be more expensive.

One thing that is certain is that reducing unnecessary consumption of computing resources will also benefit sustainability. Given the way that all these public cloud providers push customers into using an increasing amount of premium and resilient resources, and reward customers for committing to long-term usage in advance, we should be allowed some scepticism with regard to these dashboards though it is also true that the efforts made to make their data centres more sustainable have real value, given the scale of their usage.

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Azure Emissions Dashboard shows how you and Microsoft are slowly killing the planet with your cloud workloads - The Register

Google and Dell offer new tools to help operators manage 5G and the edge – TechRadar

October 15, 2021 | Author: admin

Dell and Google have both detailed new offerings for mobile operators looking to roll out new 5G services, in further evidence of the growing convergence between the technology and telecoms sectors.

Google has taken the wraps off Google Distributed Cloud, a portfolio of hardware and software services that bring Googles infrastructure to the network edge or local data centre.

The most revolutionary of 5G applications such as Industry 4.0, virtual reality and some AI workloads that rely on real time data - will require ultra-low latency that is simply impossible to achieve using a traditional cloud structure and a centralised data centre.

Edge computing allows data to be processed as close as possible to the point of collection and operators are rearchitecting their networks away from a centralized core layer accordingly. Many providers now have multiple data centers distributed across their footprint while even base stations can be used as edge sites.

Google Distributed Cloud allows operators to run core 5G and RAN functions at their edge sites, alongside enterprise applications and Google services, to support latency-sensitive applications that open new revenue streams and maximize investments in 5G infrastructure.

Its also possible to run Google Distributed Cloud at one of Googles own edge locations around the world, at a customer edge site, or in a customer data centre.

Dell Technologies is also taking a keen interest in the telco sector and has unveiled a range of services that automate the deployment and management of cloud-native infrastructure essential for maximizing 5G opportunities.

Specifically, it says the shift to the edge is one of the reasons operators are adopting OpenRAN a vendor-neutral approach to radio technology that allows operators to mix and match products. However, it believes the task of managing such a complex environment comprising multiple sites, vendors and geographies is a huge challenge.

Dells new Bare Metal Orchestrator makes it possible to manage hundreds of thousands of servers across the globe and saves days and weeks of configuration and provisioning. For a carrier looking to bring a new service to market as quickly as possible and react to changing market trends, thats a lot of time being served.

Meanwhile, the company is also expanding its partner ecosystem with new services and reference architectures with Mavenir and Wind River the latest to jump on board.

As server technology proliferates through increasingly open telecom networks, the industry sees an immediate and growing need for remote lifecycle management of a highly distributed compute fabric, said Dennis Hoffman, GM, Dell Technologies Telecom Systems Business.

Bare Metal Orchestrator gives communication services providers an easier way to deploy and manage open network infrastructure while saving costs and time, allowing them to focus on delivering new and differentiated services to their customers.

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Google and Dell offer new tools to help operators manage 5G and the edge - TechRadar

Cybersecurity practitioners are convinced they need AI now comes the hard part – SecurityBrief Australia

October 15, 2021 | Author: admin

Article by LogRhythm VP for sales APAC Simon Howe.

Like other domains, cybersecurity has been eyeing the promise of artificial intelligence (AI) and machine learning (ML) algorithms for some time.

Even back in 2019, nearly two-thirds of respondents to a Capgemini survey thought AI would help identify critical threats. Additionally, 73% of Australian organisations believed they would eventually be unable to respond to attacks without the assistance of AI.

Analysis by PwC since then confirms that AI is making organisations more resilient to cybercrime.

Theres been a steady movement for certain cybersecurity functions to harness AI/ML since then. It is now particularly prevalent in malware detection and increasingly for automating analysis and decision-making in data-intensive fields like incident detection and response.

But cybersecurity is also a particularly challenging space for AI/ML use. Its fast-moving, and the stakes are high. Algorithms put to work in security need themselves to be trustworthy and secure, and this in itself is not easy to solve.

Through our work in this space over the past seven-plus years, some ground rules have emerged. In particular, some keys to success in this space include clean data, a good business case, and the ongoing involvement of domain and technical experts.

Getting these right will solve many of the current challenges and bring cybersecurity functions closer to the AI-augmented operating model they need.

The deal on data

Data is obviously a critical input into AI and machine learning algorithms, both initially as those models are being trained, and then on an ongoing basis when the models are put into production and are expected to constantly get better at what they do.

Most organisations dont have clean, unified and consistent data to feed a model from the outset, and so many AI/ML projects begin with a period of data preparation before any of the actual AI work can proceed.

This has been understood for some time. The Capgemini survey, for example, noted that buying or building a data platform to provide a consolidated view of data should be a first step for organisations that want to use AI in cybersecurity successfully. Still, that probably understates the level of effort involved.

In the cybersecurity world, its important to collect data from a range of different sources from antivirus, firewalls, databases, cloud, servers and end-user devices because thats ultimately what will enrich data science and models for AI.

That data must then be treated: processed, analysed, and pulled into a format that can be consumed by the model.

Consistency matters at this stage, and in all likelihood, most organisations wont have it. Not all logs contain the same metadata fields. Not all vendors even define log fields in the same manner.

Organisations will need to establish consistent definitions and contextualise the metadata present in their logs to understand what to train the model on and what it should be looking for.

Just add domain expertise

As mentioned in the previous section, context raises another important point about AI/ML adoption in cybersecurity.

Domain expertise is a crucial input. The first step in an AI/ML project is to get a domain expert to define what is happening in the environment that gives rise to the need for algorithmic assistance. The need may stem from a missed or bad detection of a threat, or from the existence of too many false positives. Whatever it is, it needs to be written down.

If AI/ML is considered the best way to address this challenge and a model is then developed, domain expertise will still be needed while the model finds its feet. The expert understands what is normal and what is unusual, even if the model doesnt yet.

For example, in the days before mass remote work, it was easier to define what normal and unusual might look like in the traffic logs and patterns of a workday. Large-scale work-from-home introduced considerable unpredictability and complexity. A model will not be able to detect some of this nuance immediately, and oversight will be required.

A domain expert will be able to look at a models output and understand what data is missing or how the model is trying to detect a cybersecurity threat. This is important in understanding how to then tune the model.

That need for tuning will be ongoing. Attack tactics and techniques are constantly changing, so organisations that employ AI/ML for cybersecurity have to constantly look at whats happening in the field to understand how that impacts the AI model and its detection ability.

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Cybersecurity practitioners are convinced they need AI now comes the hard part - SecurityBrief Australia

Qualcomm Fires Shots At Google Over Its Tensor SoC – Android Headlines

October 15, 2021 | Author: admin

With the Pixel 6 release just around the corner, Qualcomm has decided to take a swipe at Google for foregoing its Snapdragon SoC with the new flagship. As most of you know, Google developed a new chipset known as Google Tensor for the Pixel 6 series.

Clearly, this isnt going down well with Qualcomm as evidenced by a tweet posted by the company. The tweet reads (via) Weve decided to make our own smartphone SoC instead of using Snapdragon, followed by a series of red flags.

Red flags are a relatively new phenomenon on the internet. Users make a statement or comment with sarcastic overtones as a critique of something. To make it apparent, they add a bunch of red flag emojis to the message.

With that out of the way, Qualcomm wants us to think that Googles Tensor chip is a bad idea. Although the company doesnt name Google specifically, it doesnt take a genius to understand what the chip maker is trying to say.

Qualcomm is understandably frustrated about all the potential good press Googles new chip could receive. Meanwhile, Samsung has its own line of chipsets under the Exynos moniker, though the company also utilizes Snapdragon SoCs for its devices. So Qualcomms irritation is understandable, though it comes across as being overly sour.

For Google, developing its own chipset makes a great deal of sense. Thanks to Tensor, Google will have more control over the software features it wants to implement. It is the end of an era for Qualcomm, though, since it has been involved with every Pixel phone launched so far.

Its unclear how the Pixel 6 and 6 Pro would fare with Google Tensor, though theres a general sense of positivity surrounding the new flagships. Fortunately, we dont have to wait long to find out as Google will unveil the two flagships in less than a week from now.

Qualcomm will continue to churn out chipsets for Android smartphones in the near future. However, losing a major client like Google can be disappointing for the company.

Developing a smartphone chipset is a first for Google. However, the company designs its own chips for Google Cloud servers, so its not new to this field. Previous reports have suggested that Samsung will mass-produce the Tensor chipset for Google.

Global Mindfulness Meditation Apps Market 2021 Industry Insights and Major Players are Deep Relax, Smiling Mind, Inner Explorer, Inc. Radford…

October 15, 2021 | Author: admin

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Google Proposes ARDMs: Efficient Autoregressive Models That Learn to Generate in any Order – Synced

October 15, 2021 | Author: admin

Deep generative models that apply a likelihood function to data distribution have made impressive progress in modelling different sources of data such as images, text and video. A popular such model type is autoregressive models (ARMs), which, although effective, require a pre-specified order for their data generation. ARMs consequently may not be the best choice for generation tasks that involve specific types of data, such as images.

In a new paper, a Google Research team proposes Autoregressive Diffusion Models (ARDMs), a model class encompassing and generalizing order-agnostic autoregressive models and discrete diffusion models that do not require causal masking of model representations and can be trained using an efficient objective that scales favourably to highly-dimensional data.

The team summarises the main contributions of their work as:

The researchers explain that from an engineering perspective, the main challenge in parameterizing an ARM is the need to enforce the triangular or causal dependence. To address this, they took inspiration from modern diffusion-based generative models, deriving an objective that is only optimized for a single step at a time. In this way, a different objective for an order-agnostic ARM could be derived.

The team then leveraged an important property of this parametrization that the distribution over multiple variables is predicted at the same time to enable the parallel and independent generation of variables.

The researchers also identified an interesting property of upscale ARDM training: complexity is not changed by modelling multiple stages. This enabled them to experiment with adding an arbitrary number of stages during training without any increase in computational complexity.

The team applied two methods to the parametrization of the upscaling distributions: direct parametrization, which requires only distribution parameter outputs that are relevant for the current stage, making it efficient; and data parametrization, which can automatically compute the appropriate probabilities for experimentation with new downscaling processes, but may be expensive as a high number of classes are involved.

In their empirical study, the team compared ARDMs to other order-agnostic generative models, evaluating performance on a character modelling task using the text8 dataset. As expected, the proposed ARDMs performed competitively with existing generative models, and outperformed competing approaches on per-image lossless compression.

Overall, the study validates the effectiveness of the proposed ARDMs as a new class of models at the intersection of autoregressive and discrete diffusion models, whose benefits are summarized as:

The paper Autoregressive Diffusion Models is on arXiv.

Author: Hecate He |Editor: Michael Sarazen

We know you dont want to miss any news or research breakthroughs.Subscribe to our popular newsletterSynced Global AI Weeklyto get weekly AI updates.

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Google Proposes ARDMs: Efficient Autoregressive Models That Learn to Generate in any Order - Synced

Here’s what’s big for AI this year, according to the annual State of AI report – Morning Brew

October 15, 2021 | Author: admin

Its that time of year again: Pumpkin spice permeates the air, Thanksgiving flight prices are on the rise, and the annual State of AI report is fresh off the presses.

Spoiler alert: Transformers are in, semiconductors are hot, and AI + structural biology make a great couple.

Quick recap: Every year, Emerging Tech Brew digs into the report, which has been published by UK investors Nathan Benaich and Ian Hogarth since 2018. The authors 2020 predictions netted a ~68% accuracy rate: Nearly six out of eight became a reality, including a new structural-biology breakthrough from DeepMind and Nvidias failure to complete its Arm acquisition.

This year, the report covered top takeaways for research, talent, and politics. Well break down a few of them...

Biology: AI is taking over the structural-biology world, yielding new insights about both cellular machinery and protein shapeswhich could lead to not only drug discovery, but also better understanding of the human body and how diseases work.

Archi-tech-ture: Transformers, a popular architecture used to create models for natural language processing, are now being applied to many other machine learning use cases, like protein structure prediction and computer vision.

Large language models: The powerful and controversial AI tools, which underpin many of the services we use every day, are scaling up and out. And individual countries are looking to create their own dedicated LLMs.

AI talent: Academic organizations dont have enough compute resources to accomplish their projectsbut 88% of top AI faculty have received Big Tech funding, the researchers wrote.

AI safety: Although AI safety is making headlines, fewer than 50 researchers are working on it full-time at the largest AI labs, according to the reportmeaning there are a lot more people whose full-time job it is to build this tech rather than think about potential consequences.

Chips on chips: Semiconductors are hot, hot, hotand the global chip shortage is only increasing demand. Startups in the space are accelerating in a big way, and both countries and corporations are looking to make the semi supply chain more efficient.

Well see you back here next year to see how these sectors of AI move forwardand, of course, which of the reports predictions came true.

I teach cryptocurrency at NYU. Here are 3 things crypto investors should know – MarketWatch

October 14, 2021 | Author: admin

MarketWatch has highlighted these products and services because we think readers will find them useful. We may earn a commission if you buy products through our links, but our recommendations are independent of any compensation that we may receive.

Since 2014, Harvard-educated David Yermack, a professor of finance at New York University, has taught courses on cryptocurrency. And when hes not busy doing that, hes publishing in academic journals such as The Handbook of Digital Currency and once served as a visiting scholar at the Federal Reserve Banks of New York and Philadelphia. He says that when it comes to investing in crypto, people need to account for three things. Crypto investors should be aware of the high volatility of these assets, the unregulated nature of the trading platforms and the numerous frictions and delays involved in executing trades, says Yermack. Heres what he means:

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I teach cryptocurrency at NYU. Here are 3 things crypto investors should know - MarketWatch

What is the Shiba Inu cryptocurrency? – Yahoo Finance

October 14, 2021 | Author: admin

Decrypt Editor-in-Chief Dan Roberts breaks down what crypto investors need to know about Shiba Inu.

ADAM SHAPIRO: All right, we're going to keep talking about crypto, especially Bitcoin, which is down to about $55,000. Remember that old ad in the '70s-- when EF Hutton talks, people listen? Well, they're out of business. So when Jamie Dimon talks, you better listen.

JAMIE DIMON: I personally think that Bitcoin is worthless. But I don't want to be a [INAUDIBLE]. I don't care. It makes no difference to me.

ADAM SHAPIRO: All right, we're going to bring in the editor-in-chief from Decrypt, Dan Roberts. You know him well. And Dan, what did you think about what Jamie Dimon was saying? Because he was saying personally, but on the other hand, people want to buy this, and there's absolute value in the asset. People are trading it.

Story continues

DAN ROBERTS: That's right, Adam, and not just people want to buy this, but specifically, our clients. He said our clients disagree with him. And he has contradicted himself a few times over the years. I mean, he has always remained negative and bearish on Bitcoin personally, but at one point, he was calling it a fraud and a scam. And a couple of years later, he came out and said, I regret calling it a fraud. So he, at least, pulled back on that. Now he's still out there calling it worthless.

But not only do some JPM clients disagree, the company separately has put out notes suggesting that it has interest in not just blockchain, but also in certain crypto assets. So I think there are a lot of people at JPM, as a company, who do not agree with what their chief has said publicly. And of course, you know, the idea of blockchain, but not Bitcoin is nothing new. We've heard that from banking people for years. In 2018, that was the big narrative, is you heard banks and also other traditional financial institutions coming out and saying, you know, crypto, we see is very risky. It's highly volatile, not interested. But we like blockchain. We like the idea of using blockchain.

And in the last year or so, as Bitcoin and Ethereum and other top crypto assets have really surged because of the pandemic and, you know, because of the actions of the Fed, you have started to hear less of that. So he's become an anomaly. You've started to hear less of blockchain, not Bitcoin, and you've seen the pendulum swinging back to, actually, Bitcoin is pretty interesting.

ADAM SHAPIRO: And also, there may be a bit of, we fear that which we don't totally understand, which sets me up to help us understand why anybody would buy the Shiba-- is it pronounced Shiba-- Inu coin? Because it was a picture of a cute puppy that Elon Musk put out. And yet, you think he would buy this thing?

DAN ROBERTS: Well, so first of all, let's explain. I mean, everyone by now knows about Dogecoin. And Doge is sort of this original, at this point, OG, joke cryptocurrency. It was [INAUDIBLE] just as a meme, and yet the price has surged. Elon Musk has repeatedly pumped the price of Doge. But now more recently, you've got SHIB, Shiba Inu. And of course, the original internet meme of Doge is a Shiba Inu dog.

And so Elon Musk put out a picture of his new Shiba Inu puppy and said, the name is Floki. And you had the creation of a number of new joke coins, including there's Floki Coin and Floki Frunk Puppy. But of course, it's important to distinguish that a lot of people think that SHIB was really on the rise, if you look at the data, before Musk's tweet.

Now, of course, I do think his tweet added to the pumping of this other joke coin because now it's number 12 by market cap of all cryptocurrencies. But this wasn't a case where it was just all Elon Musk. And in fact, if you look at OnChain data, something like 700,000 different wallets now hold Shiba Inu. So it's a joke, but it's not a joke. When the price goes up so much, there are some people who bought it and flipped it and made real money. So, you know, sometimes people point to those things, and they think that it reduces the legitimacy of the whole crypto space. I don't necessarily agree.

ADAM SHAPIRO: And help us understand this one because no joke here-- Skynet, also known as Facebook, was going to create a wallet for all of us. There was the Libra. Then there was going to be-- what did they call it-- Libra Diem and then Novi. The big news, though, is that Andreessen Horowitz-- and they're investors. Weren't they going to develop this with Facebook? They hired away two key people. What does that tell us?

DAN ROBERTS: Right, I mean, it's hard to look at this news, Adam, of Andreessen Horowitz hiring two of the top people at Facebook's, you know, Diem project as Andreessen Horowitz crypto partners. You know, a16z crypto has gotten very big. It's hard to look at that news and not see this as the continued gutting, the continued exodus of Facebook's crypto ambitions.

I mean, let's rewind. And remember, that when Facebook first announced Libra-- and by the way, it kept saying it's not just us. This is a consortium. But Facebook was leading it, and Facebook Messenger exec David Marcus was the public spokesperson. They said Libra was going to be a new global digital currency pegged to a basket of other multiple Fiat currencies. Then Congress didn't like it. They testified, they pulled back on the plans, they rebranded it from Libra to Diem. And they changed the name of the wallet from Calibra to Novi.

And now just recently, in August, David Marcus came out and said, our wallet product is ready for the market. Well, where is it? And now it looks like all that Diem is going to be is a US stablecoin pegged to the dollar, which we have a lot of those already. So maybe the project still exists, maybe something is going to launch. But a lot of people have left. And there is an irony now in seeing one of the backers that hypothetically is still on the board of the Diem Association plucking two prominent people from the project. But maybe that's because they want to keep better tabs on what it's up to and make sure that it's a success?

ADAM SHAPIRO: You know, I look forward to the day when Zuckerberg's trying to sell that wallet, and he says, well, it's got electrolytes, to quote the movie "Idiocracy." Dan Roberts, Decrypt editor-in-chief, we appreciate your being here. We'll see you soon, buddy.

Bitcoin slammed as WORTHLESS by JPMorgan boss as cryptocurrency price spikes… – The Sun

October 14, 2021 | Author: admin

ONE OF Wall Street's top dogs has taken aim at Bitcoin despite the digital currency's soaring price.

According to CNBC, JPMorgan Chase boss and outspoken crypto critic Jamie Dimon branded Bitcoin "worthless" at an event on Monday.

The investment banking behemoth told a virtual audience over video call that he saw no future for the fledging crypto market.

"I personally think that bitcoin is worthless," Dimon said during the Institute of International Finance event.

The 65-year-old added that, while he was sceptical of cryptocurrencies, JPMorgan clients were still free to invest in them.

"I dont want to be a spokesperson I dont care. It makes no difference to me, he said.

"Our clients are adults. They disagree. Thats what makes markets.

"So, if they want to have access to buy yourself bitcoin, we cant custody it but we can give them legitimate, as clean as possible, access."

Bitcoin is currently going through a golden period after a tough spring. The cryptocurrency's value peaked at 47,000 in April before a sharp decline.

However, it has been steadily climbing ever since, currently sitting around the 41,000 mark close to an all-time high.

Dimon has taken jabs at cryptocurrencies in the past.

Recently, he told Axios CEO Jim VandeHei that bitcoin has no intrinsic value.

And while he thinks bitcoin will be around long term, "Ive always believed itll be made illegal someplace, like China made it illegal, so I think its a little bit of fools gold."

Dimon also told VandeHei that he thinks "regulators are going to regulate the hell out of it."

It's been a rocky few weeks for Bitcoin.

Last week, the Biden administration unveiled sanctions against a cryptocurrency exchange over its alleged role in enabling illegal payments from ransomware attacks.

The Treasury Department accused Suex of facilitating transactions involving illicit proceeds for at least eight ransomware variants.

It's the first such move against a virtual currency exchange over ransomware activity.

"Exchanges like Suex are critical to attackers' ability to extract profits from ransomware attackers," Treasury Deputy Secretary Wally Adeyemo said.

The action "is a signal of our intention to expose and disrupt the illicit infrastructure using these attacks."

It came after President Biden announced that the U.S. will bring together 30 countries to stop "the illicit use of cryptocurrency."

He's not the only US president to criticise the currency.

Earlier this year, former president Donald Trump called Bitcoin a "scam against the dollar."

Speaking to Fox Business in June, he expressed concerns that the cryptocurrency is threatening the value of the US dollar.

"Bitcoin, it just seems like a scam," Mr Trump said. "I don't like it because it's another currency competing against the dollar."

In other news, President Joe Biden is weighing up appointing a cryptocurrency despot to handle Bitcoin and its rivals.

Crypto investors weresent into paniclast month after a data provider showed a 90 per cent plunge in Bitcoin's value.

Theprice of Bitcoin rocketedin July following claims Amazon could start accepting the cryptocurrency as payment by the end of the year.

And, nine apps have had to beremoved from the Google PlayStore after they were caught stealing Facebook passwords.

We pay for your stories! Do you have a story for The Sun Online Tech & Science team? Email us at tech@the-sun.co.uk

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Bitcoin slammed as WORTHLESS by JPMorgan boss as cryptocurrency price spikes... - The Sun

Cloud Hosting

Azure Emissions Dashboard shows how you and Microsoft are slowly killing the planet with your cloud workloads – The Register

Google and Dell offer new tools to help operators manage 5G and the edge – TechRadar

Cybersecurity practitioners are convinced they need AI now comes the hard part – SecurityBrief Australia

Qualcomm Fires Shots At Google Over Its Tensor SoC – Android Headlines

Global Mindfulness Meditation Apps Market 2021 Industry Insights and Major Players are Deep Relax, Smiling Mind, Inner Explorer, Inc. Radford…

Google Proposes ARDMs: Efficient Autoregressive Models That Learn to Generate in any Order – Synced

Here’s what’s big for AI this year, according to the annual State of AI report – Morning Brew

I teach cryptocurrency at NYU. Here are 3 things crypto investors should know – MarketWatch

What is the Shiba Inu cryptocurrency? – Yahoo Finance

Bitcoin slammed as WORTHLESS by JPMorgan boss as cryptocurrency price spikes… – The Sun

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