Sta per finire un anno difficile e sta per cominciarne un altro che non si preannuncia meno impegnativo. Ma per un giorno, almeno, proviamo tutti a staccare e ricaricarci, senza farsi troppe illusioni che un cambio di calendario possa magicamente risolvere tutto.
Questa mostra la nostra sorprendente cecità ai cambiamenti graduali: pur essendo avvisati che il contenuto della stanza cambierà, fatichiamo a notare quanti cambiamenti avvengono lentamente e ci accorgiamo che sono avvenuti solo quando possiamo fare un confronto diretto con la situazione originale.
Questa invece mostra come la nostra interpretazione delle immagini dipenda enormemente dalla nostra conoscenza della realtà e delle sue regole: gli anelli ruotano abbastanza regolarmente finché sono separati, ma sembrano oscillare quando sono sovrapposti, perché il nostro cervello sa che gli anelli solidi nella realtà non possono compenetrarsi e quindi “spiega” il movimento in un modo che non comporti questa compenetrazione. Sospetto che questo livello di conoscenza della realtà fisica sia importante per il riconoscimento visivo da parte dei sistemi di guida autonoma.
Questa, infine, mostra quanto è abile il nostro cervello a estrarre da punti apparentemente casuali una serie precisa di forme soltanto accennate, a patto che i punti si muovano:
B2B Marketing News: B2B Buyers Using More Channels, Brands Embrace Digital Personalization, & LinkedIn’s New Workplace Representation Efforts
Fiddling With First-Party: B2B Firms Face Corporate And Data Integration Hurdles
41 percent of B2B brands have said they use first-party data for marketing segmentation, while 37 percent use it for sales outreach, and 36 percent for advertising and analytics — one of several findings of interest to B2B marketers contained in recently-released Dun & Bradstreet study data. MediaPost
Oracle to Buy Cerner in $28B Health Care Play
Oracle has announced that it will acquire medical records firm Cerner for some $28.3 billion, a move that will bring a vast expansion to Oracle’s health care segment and bolster the reach of both firms, following a similar move by Microsoft earlier this year, Oracle recently announced. CFO
B2B Tech Sector Will Decline In 2022, But Rebound In 2023: Study
The B2B technology category is forecast to see a two percent decrease in 2022 in the U.S., while accompanied by a three percent increase in overall sales placing the annual figure at some $106 billion, according to newly-released report data from the NPD Group. MediaPost
YouTube Adds New Updates to YouTube Studio App, Bringing it More Into Line with the Desktop Version
Google’s YouTube has rolled out new features to its mobile YouTube Studio app, which will bring B2B marketers the ability to perform more complex community comment filtering, along with several new analytics upgrades, YouTube recently announced. Social Media Today
Study: Brands Are Making Personalization A New Priority
During 2021 some 31 percent of brands said that they were able to personalize the majority of digital interactions, a figure that was up from 10 percent in 2020 — one of several statistics of interest to online marketers in recently-released survey data. MediaPost
PR Pros to Turn More to Social Engagement to Measure Efforts
60 percent of communications professionals have said that they plan to use social media engagement as a public relations (PR) metric in 2022, with 28 percent noting that they expect to report on consumer sentiment, according to newly-released survey data. MarketingCharts
Meta Unveils Future Ad Manager Updates Focusing On Outcomes
Facebook parent firm Meta has launched a new Outcome-Driven Ad Experiences (ODAX) feature, offering advertisers six primary objectives including awareness, traffic, engagement, app promotion, leads, and sales, in a program that could make its way to Facebook and Instagram in time, Meta recently announced. MediaPost
LinkedIn Launches New Campaign to Highlight the Importance of Representation in the Workplace
Microsoft-owned LinkedIn (client) has rolled out a new campaign focusing on efforts that highlight how professionals are shifting to expressing more of their authentic selves in today’s new hybrid and remote workplace environments, LinkedIn recently announced. Social Media Today
Brands That Make Life Simpler Score With Global Consumers
76 percent of global consumers have said that they’re more likely to recommend brands that deliver simple experiences, up from some 64 percent in 2018, according to newly-released survey data of interest to digital marketers. MediaPost
B2B buyers and sellers put digital commerce on a faster track
It’s not unusual for B2B customers to use 10 or more channels for interactions with suppliers, up from just five in 2016, while some two-thirds of B2B buyers are choosing either remote human interactions or digital self-service methods — two of numerous findings of interest to marketers contained in newly-released survey data of U.S. B2B decision makers. Digital Commerce 360
ON THE LIGHTER SIDE:
A lighthearted look at the “definition of insanity” by Marketoonist Tom Fishburne — Marketoonist
Ugly Sweater Party Winner Didn’t Realize That Was The Theme — The Hard Times
TOPRANK MARKETING & CLIENTS IN THE NEWS:
- Lee Odden — Optimize for Search and for Trust [Video] — Oracle CX
- Lee Odden — The Age of Authenticity — Arshiya Kapadia
- Lee Odden — Ask the Experts: Trends to Grow Your Business [Podcast] — Pam Didner
- Lee Odden — 12 Social Media Marketing Experts Share Their Best Advice — CocoFax
- TopRank Marketing — How To Value Your Working Experience As A Freelance Event Planner — Event Planner News
Have you come across your own favorite B2B marketing news for the week? Please drop us a line in the comments below.
Thank you for taking the time to join us for this week’s TopRank Marketing B2B marketing news, and we hope you’ll come back again next Friday for another selection of the most relevant B2B and digital marketing industry news. In the meantime, you can follow us on our LinkedIn page, or at @toprank on Twitter for even more timely daily news.
Google’s Quantum AI team has had a productive 2021. Despite ongoing global challenges, we’ve made significant progress in our effort to build a fully error-corrected quantum computer, working towards our next hardware milestone of building an error-corrected quantum bit (qubit) prototype. At the same time, we have continued our commitment to realizing the potential of quantum computers in various applications. That’s why we published results in top journals, collaborated with researchers across academia and industry, and expanded our team to bring on new talent and expertise.
An update on hardware
The Quantum AI team is determined to build an error-corrected quantum computer within the next decade, and to simultaneously use what we learn along the way to deliver helpful—and even transformational—quantum computing applications. This long-term commitment is expanded broadly into three key questions for our quantum hardware:
- Can we demonstrate that quantum computers can outperform the classical supercomputers of today in a specific task? We demonstrated beyond-classical computation in 2019.
- Can we build a prototype of an error-corrected qubit? In order to use quantum computers to their full potential, we will need to realize quantum error correction to overcome the noise that is present during our computations. As a key step in this direction, we aim to realize the primitives of quantum error correction by redundantly encoding quantum information across several physical qubits, demonstrating that such redundancy leads to an improvement over using individual physical qubits. This is our current target.
- Can we build a logical qubit which does not have errors for an arbitrarily long time? Logical qubits encode information redundantly across several physical qubits, and are able to reduce the impact of noise on the overall quantum computation. Putting together a few thousand logical qubits would allow us to realize the full potential of quantum computers for various applications.
Progress toward building an error-corrected qubit prototype
The distance between the noisy quantum computers of today and the fully error-corrected quantum computers of the future is vast. In 2021, we made significant progress in closing this gap by working toward building a prototype logical qubit whose errors are smaller than those of the physical qubits on our chips.
This work requires improvements across the entire quantum computing stack. We have made chips with better qubits, improved the methods that we use to package these chips to better connect them with our control electronics, and developed techniques to calibrate large chips with several dozens of qubits simultaneously.
These improvements culminated in two key results. First, we are now able to reset our qubits with high fidelity, allowing us to reuse qubits in quantum computations. Second, we have realized mid-circuit measurement that allows us to keep track of computation within quantum circuits. Together, the high-fidelity resets and mid-circuit measurements were used in our recent demonstration of exponential suppression of bit and phase flip errors using repetition codes, resulting in 100x suppression of these errors as the size of the code grows from 5 to 21 qubits.
Suppression of logical errors as the number of qubits in the repetition code is increased. As we increase the code size from 5 to 21 qubits, we see 100x reduction in logical. Image acknowledgement: Kevin Satzinger/Google Quantum AI
Repetition codes, an error correction tool, enable us to trade-off between resources (more qubits) and performance (lower error) which will be central in guiding our hardware research and development going forward. This year we showed how error decreases as we increase the number of included qubits for a 1-dimensional code. We are currently running experiments to extend these results to two-dimensional surface codes which will correct errors more comprehensively.
Applications of quantum computation
In addition to building quantum hardware, our team is also looking for clear margins of quantum advantage in real world applications. With our collaborators in academia and industry, we are exploring fields where quantum computers can provide significant speedups, with realistic expectations that error-corrected quantum computers will likely require better than quadratic speedups for meaningful improvements.
As always, our collaborations with academic and industry partners were invaluable in 2021. One notable collaboration with Caltech showed that, under certain conditions, quantum machines can learn about physical systems from exponentially fewer experiments than what is conventionally required. This novel method was validated experimentally using 40 qubits and 1300 quantum operations, demonstrating a substantial quantum advantage even with the noisy quantum processors we have today. This paves the way to more innovation in quantum machine learning and quantum sensing, with potential near-term use cases.
In collaboration with researchers at Columbia University, we combined one of the most powerful techniques for chemical simulation, Quantum Monte Carlo, with quantum computation. This approach surpasses previous methods as a promising quantum approach to ground state many-electron calculations, which are critical in creating new materials and understanding their chemical properties. When we run a component of this technique on a real quantum computer, we are able to double the size of prior calculations without sacrificing accuracy of the measurements, even in the presence of noise on a device with up to 16 qubits. The resilience of this method to noise is an indication of its potential for scalability even on today’s quantum computers.
We continue to study how quantum computers can be used to simulate quantum physical phenomena—as was most recently reflected in our experimental observation of a time crystal on a quantum processor (Ask a Techspert: What exactly is a time crystal?). This was a great moment for theorists, who’ve pondered the possibility of time crystals for nearly a century. In other work, we also explored the emergence of quantum chaotic dynamics by experimentally measuring out-of-time-ordered correlations on one of our quantum computers, which was done jointly with collaborators at the NASA Ames Research Center; and experimentally measuring the entanglement entropy of the ground state of the Toric code Hamiltonian by creating its eigenstates using shallow quantum circuits with collaborators at the Technical University of Munich.
Our collaborators contributed to, and even inspired, some of our most impactful research in 2021. Quantum AI remains committed to discovering and realizing meaningful quantum applications in collaboration with scientists and researchers from across the world in 2022 and beyond as we continue our focus on machine learning, chemistry, and many-body quantum physics.
You can find a list of all our publications here.
Continuing investment in the quantum computing ecosystem
This year, at Google’s annual developer conference, Google I/O, we reaffirmed our commitment to the roadmap and investments required to make a useful quantum computer within the decade. While we were busy growing in Santa Barbara, we also continue to support the enablement of researchers in the quantum community through our open source software. Our quantum programming framework, Cirq, continues to improve with contributions from the community. 2021 also saw the release of specialized tools in collaboration with partners in the ecosystem. Two examples of these are:
- The release of a new Fermionic Quantum Simulator for quantum chemistry applications in collaboration with QSimulate, taking advantage of the symmetry in quantum chemistry problems to provide efficient simulations.
- A significant upgrade to qsim which allows for simulation of noisy quantum circuits on high performance processors such as GPUs via Google Cloud, and qsim integration with NVIDIA’s cuQuantum SDK to enable qsim users to make the most of NVIDIA GPUs when developing quantum algorithms and applications.
We also released an open-source tool called stim, which provides a 10000x speedup when simulating error correction circuits.
You can access our portfolio of open-source software here.
Looking toward 2022
Resident quantum scientist Qubit the Dog taking part in a holiday sing-along led by team members Jimmy Chen and Ofer Naaman.
Through teamwork, collaboration, and some innovative science, we are excited about the progress that we have seen in 2021. We have big expectations for 2022 as we focus on progressing through our hardware milestones, the discovery of new quantum algorithms, and the realization of quantum applications on the quantum processors of today. To tackle our difficult mission, we are growing our team, building on our existing network of collaborators, and expanding our Santa Barbara campus. Together with the broader quantum community, we are excited to see the progress that quantum computing makes in 2022 and beyond.
You always hear the standard New Year resolutions: Work out more. Run a marathon. Learn a new language. For me this year, it’s to learn three new party tricks (I’m optimistically hoping for more social interaction in 2022!). No matter what the goal is, it often feels that by February, I’ve lost some steam. Resolutions take time, and new habits and skills are (let’s admit) hard to build.
So this year, my New Year’s resolution is to stick to a New Year’s resolution. So I did a little digging, and found a few tools that I have at my fingertips to get that resolution to stick.
First things first: Write down your goal
Don’t justthink about your resolution — write it down. If you live by your inbox, schedule send a January 1 New Year’s resolution email to yourself. What better way to kickstart the new year than with an email to your future self?
And don’t forget good ol’ pen and paper. Recording something on paper is easy, and the physical movement of writing something down can make it stick in a certain way. So write it down, literally.
Next, create reminders
The hard part about keeping resolutions for me is changing my daily routine. So I decided to
break down my resolution into smaller goals, and set up check-ins on Google Calendar. Twice a month, I put aside time to learn a party trick (my first one is going to be rolling a coin across my knuckles), and half way through the year I set up a “dry run” performance with friends (whether that ends up being in-person or virtual) to keep myself accountable.
Aside from checkpoints, crossing items off a checklist also keeps me on track. So I further broke down my twice-a-month trick-learning efforts using Tasks. This means my smaller, bite-sized agenda items will show up everywhere, from Gmail to Google Slides (so I can’t ignore them!).
If you wrote down your resolution on Google Keep, that’s also a good place to create a to-do list and hit your smaller target goals on your way to your resolution. You can even set up timed reminders for each of the items to make sure you hit your goals.
Build satisfaction by tracking your progress
You can track your progress anywhere, like Keep or even Google Docs, but if you’re looking for more, try AppSheet . With AppSheet, you can build custom apps without any coding required. Need a custom app to track your workout progress? Looking for a journaling app on the go? AppSheet has a few templates you can try — or you can build your own if you want to get hyper-specific.
Make sure to reward yourself along the way
New habits and skills are hard to build, especially when you don’t see immediate results. So celebrating mini-milestones along the way (practiced 10 sessions ☑…rehearsed for my dry run ☑) help me stay motivated.
How you reward yourself is up to you — maybe it’s taking a day for self care, or simply exchanging words of encouragement with your friends and family – a little kudos goes a long way. And if at any point along the way toward your goal you begin to feel a little weary, try some of the advice from our resilience expert at Google, who talks about breaking tasks into smaller challenges that are easier to tackle.
Here’s to 2022 — and sticking with our New Year resolutions.
Comunicato stampa del Consiglio dei Ministri n.54 – 29 Dicembre 2021 Il Consiglio dei Ministri ha approvato un decreto-legge che introduce misure urgenti per il contenimento della diffusione dell’epidemia da…
Di solito non mi occupo di politica. Però mi occupo spesso di stupidità e di bufale, e la Brexit è un esempio su vasta scala delle conseguenze della stupidità e delle bufale, ed è un esempio che come persona nata in UK e con tanti amici e affetti in quel paese mi tocca da vicino.
La persona che parla, Adam Posen, è presidente del Peterson Institute for International Economics, oltre che ex policymaker per la Banca d’Inghilterra. Questa è la sintesi di quello che disse nel 2017 presso l’American Enterprise Institute.
In cinque minuti, con parole chiare e dirette, mette perfettamente a nudo la colossale stupidità di uscire da un accordo commerciale come l’Unione Europea, per ragioni estremamente pratiche e pragmatiche. Darei molto per avere la lucidità e chiarezza di linguaggio di questa persona.
This is the most chilling explanation of what Brexit will do to the UK economy after December.
By @AdamPosen, President of the Peterson Institute for International Economics. #ThisIsWhatYouVotedFor pic.twitter.com/U4ESjUuVNh
— Femi (@Femi_Sorry) October 26, 2020
…it is a negative supply shock in that you are ruining your competitiveness specifically with your largest trading partner. It is a fact of life — it’s one of the few things in economics we can talk about as a fact of life — that “gravity“ applies.
What is gravity? You trade far far more with the countries you are contiguous with and the countries that you historically have interacted with than with countries that are far away. That is true for the US in the context of NAFTA; that is true for the UK. No matter how much there’s been a special relationship, no matter how much the UK tries to be a global exporter, the fact is you’ve got more than twice as much trade with the EU, more than twice as much investment with the EU as you do with the US or let alone the rest of the world. As David Cameron pointed out when Prime Minister while I was at the Bank of England, the UK does more trade with Ireland than they do with the BRIC countries combined: Brazil, Russia, India, and China. So this is negative, full stop.
…Additionally, because the UK had this special status as the less regulated, less — low tax, English-speaking, rule-of-law place (not that all of that was in question elsewhere in the EU, and certainly Ireland was similar) but had this special place, and people liked living in London, you had a huge amount of investment in the UK as a platform to enter the EU, because you were part of the EU deal. That goes away. It may not go to zero, but it will gradually come down. I see a representative for example of Toyota Motor Corporation here. Toyota, Nissan, Ford, all have disproportionate amounts of their European auto production in the UK. All have indicated that they will not expand those productions and will probably decline those production points in the UK when the UK loses full market access.
…There’s a distinction between a trade deal and access to the single market. The single market is covering all those things that aren’t simply the price of goods off the boat. It’s whether your auto meets safety standards. It’s whether your chemicals or your food additives have been recognized. It’s whether you fit standard sizes of various objects. It’s whether your accountants are accredited. It’s whether your university degree is recognized in other countries’ universities.
…the question is, since the UK primarily is an exporter of high-end products and of services, especially financial services, business services, media services, cultural services, educational services, how much do they lose by not being in the single market, even if you have a trade deal? And the answer is, a lot.
Most of the financial regulation that affected the UK was set in the UK and was not set by Brussels, and while the UK was in the EU they had a predominant voice in the setting of those regulations in Brussels. Now there will be no such interest. And that is why we are seeing an estimate of my colleague Simeon Djankov, who runs the financial markets group at the London School of Economics, a third of City jobs — the economic and financial jobs in the City of London — will be moving to Dublin, Frankfurt, New York.
…You can say “Ah, but this is for centuries, over the long term it will be better.” So then you have to think about what’s wrong with the EU economy versus the UK economy. So most of us who see there being problems in the EU economy as a whole (or at least the euro area economy, because frankly Eastern Europe isn’t doing so bad) tend to focus on five things: we say there’s over-regulation of labor markets, there’s heavy-handed regulation of other things, there’s an excessive welfare state, there’s demographic decline, and there’s the problems of being associated with the euro membership.
Now if you look at that list, four of those five do not apply to the UK even as members of the EU. The UK has a looser labor market regulations than anyone else in the EU, the UK has a smaller welfare state than anyone else in the EU, the UK was a beneficiary in the demographic sense of people from Poland and France and Portugal and elsewhere and Romania coming and helping balance out the aging of their society, and the UK was of course not a member of the European monetary system. Even if the UK were to stay in the EU, none of that would change.
So what is it getting? So you’re balancing, essentially, non-financial regulation in certain areas being excessive versus all the other stuff I spoke about. And giving up the ability to affect or push back against those regulations in the future, because you will no longer be a member.
Leave the rhetoric aside. Look at the reality: this is not a very good deal in economic terms.
Now, again, you can always say, “Well, this is about sovereignty, they want to do it”. Again, I’m not fit to say. That’s fine, but you should be aware that there is no economic upside to this.
La versione integrale (26 minuti) del suo intervento è qui:
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