google-site-verification=cXrcMGa94PjI5BEhkIFIyc9eZiIwZzNJc4mTXSXtGRM Women in AI: Anna Korhonen explores the intersection of linguistics and artificial intelligence - 360WISE MEDIA
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Women in AI: Anna Korhonen explores the intersection of linguistics and artificial intelligence

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To give female AI academics and others their well-deserved – and overdue – time in the highlight, TechCrunch is launching a series of interviews specializing in the extraordinary women who’re contributing to the AI ​​revolution. As the AI ​​boom continues, we are going to publish several articles throughout the 12 months, highlighting key work that always goes unnoticed. Read more profiles here.

Anna Korhonen is a professor of natural language processing (NLP) at the University of Adam Mickiewicz University in Poznań University of Cambridge. She is also senior research fellow at Churchill Collegemember of the Association of Computational Linguistics, and worker of the European Laboratory for Learning and Intelligent Systems.

Korhonen was previously an worker Alan Turing, holds a PhD in computer science and a master’s degree in computer science and linguistics. She researches NLP and how developing, adapting and applying computational techniques to satisfy the needs of artificial intelligence. He has special interests in responsible and “human-centered” NLP, which, as she says, “draws on an understanding of human cognitive, social and creative intelligence.”

Questions & Answers

Briefly speaking, how did you start in artificial intelligence? What drew you to the field?

I even have at all times been fascinated by the beauty and complexity of human intelligence, especially because it pertains to human language. However, my interest in STEM subjects and practical applications led me to review engineering and computer science. I selected to specialize in AI since it is a field that enables me to mix all of these interests.

What work in AI are you most proud of?

While learning easy methods to construct intelligent machines is fascinating and it will probably be easy to wander away in the world of language modeling, the ultimate reason we construct artificial intelligence is its practical potential. I’m most proud of the work where my fundamental research in natural language processing has led to the development of tools that may support social and global good. For example, tools that may help us higher understand how diseases like cancer and dementia develop and how they will be treated, or apps that may support education.

Much of my current research is driven by my mission to develop artificial intelligence that may improve people’s lives. Artificial intelligence has enormous positive potential for social and global good. A giant part of my job as an educator is to encourage the next generation of AI scientists and leaders to deal with realizing this potential.

How do you take care of the challenges of the male-dominated tech industry, and by extension, the male-dominated AI industry?

I’m lucky to work in the field of artificial intelligence, where we even have a major female population and well-established support networks. I find them extremely helpful in coping with skilled and personal challenges.

For me, the biggest problem is the way this male-dominated industry sets the agenda around AI. An ideal example is the current arms race to develop increasingly larger artificial intelligence models in any respect costs. This has a profound impact on the priorities of each academia and industry, in addition to wide-ranging socio-economic and environmental implications. Do we want larger models and what are their global costs and advantages? I believe we’d have asked these questions much earlier if we had a greater gender balance on the pitch.

What advice would you give to women wanting to start out working in the AI ​​industry?

Artificial intelligence desperately needs more women in any respect levels, but especially in leadership. The current leadership culture will not be necessarily attractive to women, but lively engagement can change that culture – and ultimately the culture of AI. Women aren’t at all times great at supporting one another. I would love to see a change of attitude in this regard: if we would like to realize a greater gender balance in this field, we want to actively network and help one another.

What are the most pressing issues facing artificial intelligence because it evolves?

Artificial intelligence has developed incredibly quickly: in lower than a decade, it has evolved from an instructional field to a worldwide phenomenon. During this time, most of the effort was dedicated to scaling massive data and computation. Little effort has been put into considering how this technology must be developed to best serve humanity. People have good reason to fret about the safety and credibility of artificial intelligence and its impact on jobs, democracy, the environment and other areas. We must urgently put human needs and security at the heart of AI development.

What issues should AI users remember of?

Current AI, even when it appears very fluid, ultimately lacks human knowledge of the world and the ability to grasp the complex social contexts and norms in which we operate. Even the best technology today makes mistakes, and our ability to stop or predict them is proscribed. Artificial intelligence could be a very great tool for a lot of tasks, but I would not trust it to teach my children or make essential decisions for me. We the people should remain in power.

What is the best method to construct AI responsibly?

Artificial intelligence developers are inclined to take into consideration ethics as an afterthought – after developing the technology. The best method to give it some thought is that any development begins. Questions like: “Do I have a diverse enough team to develop an equitable system?” or “Is my data truly free and representative of all user populations?” or “Are my techniques solid?” you actually should ask at the starting.

While we are able to solve some of this problem through education, we are able to only implement it through regulation. The recent development of national and global regulations around artificial intelligence is essential and must proceed to make sure that future technologies are safer and trustworthy.

How can investors higher promote responsible AI?

Artificial intelligence regulations are emerging and corporations will ultimately should adapt to them. We can see responsible AI as sustainable AI that is actually price investing in.

This article was originally published on : techcrunch.com

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Women in AI: Tara Chklovski teaches the next generation of AI innovators

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To give women AI academics and others their well-deserved – and overdue – time in the highlight, TechCrunch is publishing a series of interviews specializing in the extraordinary women who’re contributing to the AI ​​revolution. We’re publishing these articles throughout the 12 months as the AI ​​boom continues, highlighting key work that usually goes unnoticed. Read more profiles here.

Tara Chklovski is the CEO and founder Technology, a nonprofit organization that helps teach young girls about technology and entrepreneurship. She has led the company for the past 17 years, finding ways to assist young women use technology to resolve some of the world’s most pressing problems. She attended St. Stephen’s College in Delhi, followed by a master’s degree from Boston University and a doctorate from the University of Southern California in aerospace engineering.

Briefly speaking, how did you start in artificial intelligence? What drew you to the field?

I began learning about AI in 2016 after we were invited to the AAAI (Association for the Advancement of Artificial Intelligence) conference held in San Francisco and had the opportunity to interview many AI researchers using AI to resolve interesting problems, starting from space for supplies. Technovation is a nonprofit organization and our mission is to bring the strongest, cutting-edge tools and technology to underserved communities. AI felt powerful and right. So I made a decision to learn loads about it!

In 2017, we conducted a nationwide survey of parents, asking them about their thoughts and concerns about artificial intelligence. We were impressed by how African-American moms were very interested in ensuring their children were AI-savvy, greater than another demographic. We then launched the first global AI education program, the AI Family Challengesupported by Google and Nvidia.

Since then, now we have continued to learn and improve, and are actually the only global, project-based AI education program with a research-based curriculum translated into 12 languages.

What work in AI are you most proud of?

The incontrovertible fact that we’re the only organization to have a peer-reviewed research paper on the impact of our project-based AI curriculum and that now we have been in a position to make it available to tens of hundreds of girls around the world.

How do you cope with the challenges of the male-dominated tech industry, and by extension, the male-dominated AI industry?

This is difficult. We have many allies, but typically the power and influence rests in the hands of CEOs, who’re overwhelmingly men and don’t fully understand the barriers women face at every turn. You develop into the CEO of a trillion-dollar company based on certain traits, and people traits will not be the same as the ones that permit you to empathize with others.

In terms of solutions, society is becoming more educated and each genders have gotten more sophisticated in terms of empathy, mental health, psychological development, etc. My advice to those supporting women in tech can be to be more daring in their investments in order that we are able to make more progress. We have enough research and data to know what works. We need more champions and supporters.

What advice would you give to women seeking to enter the field of artificial intelligence?

Start today. It’s very easy to start online with free, world-class lectures and courses. Find an issue that interests you and begin learning and constructing. The Technovation program can be a fantastic start line since it doesn’t require any prior technical background, and at the end you’d have created an AI-based startup.

What are the most pressing issues facing artificial intelligence because it evolves?

(Social views) groups undervalued as a monolithic group with no voice, agency or talent – ​​just waiting to be exploited. We’ve found that teenagers are some of the first adopters of technology and have the coolest ideas. A Technovation girls’ team created a ride-sharing and taxi-hailing app in December 2010. Another Technovation team created a mindfulness and concentration app in March 2012. Currently, Technovation teams are constructing AI-powered apps by constructing recent datasets focused on groups in India, Africa and Latin America – groups that aren’t included in applications coming from Silicon Valley.

Instead of viewing these countries only as markets, consumers and audiences, we must see these groups as powerful collaborators who may help construct truly revolutionary solutions to the complex problems facing humanity.

What issues should AI users remember of?

These technologies are developing rapidly. Be curious and look under the hood as often as possible to find out how these models work. This will enable you develop into a curious and hopefully informed user.

What is the best method to construct AI responsibly?

By training groups who aren’t typically part of design and engineering teams, after which constructing higher technologies with them as co-designers and builders. It won’t take rather more time and the final product shall be rather more solid and revolutionary for the process.

How can investors higher promote responsible AI?

Push for partnerships with global nonprofits which have access to diverse talent pools in order that your engineers speak to a big selection of users and consider their perspectives.

This article was originally published on : techcrunch.com
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Human Composting and Wood Markets: A Conversation on “Industrial” VC with Investor Dayna Grayson

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While the enterprise capital world is buzzing around generative AI, Dayna Grayson, a longtime enterprise capitalist who co-founded her own company five years ago, Build capital, focused on relatively boring software that would transform industrial sectors. Its mission doesn’t exclude AI, nevertheless it will not be dependent on it either.

For example, Construct recently raised a seed round Wooden eye, a startup that’s developing vertical workflow software and a knowledge layer that it says can count and measure logs more accurately and, if all goes in keeping with plan, help the startup achieve its goal of becoming a timber purchasing marketplace. Wondering how big this market may very well be? According to estimates, it hit the worldwide forest products industry $647 billion in 2021

Another Construct deal that sounds less sexy than, say, the large language models is Earth, a startup focused on human composting, turning bodies into “nutrient-rich” soil in 45 days. Yes, ick. But also: it’s a sensible market to follow. Cremation currently accounts for 60% of the market and may account for over 80% in the following 10 years. Meanwhile, the cremation process has been in comparison with its counterpart A 500-kilometer journey by automotive; As people increasingly focus on “greener” solutions, Earth believes it could actually attract more and more of those customers.

Avoiding a number of the AI ​​hype doesn’t entirely protect Grayson and her co-founder at Construct, Rachel Holt, from lots of the same challenges their peers face, as Grayson told me recently on a Zoom call from Contruct’s headquarters in Washington. their challenge is timing. The two launched their first three funds in one of the frothy markets within the enterprise capital industry. Like every other enterprise firm on the earth, a few of its portfolio corporations are also currently struggling with indigestion after raising an excessive amount of capital. That said, they’re hurtling into the long run and – seemingly successfully – dragging just a few staid industrial corporations along with them. Below are excerpts from our recent chat, edited for length.

You invested throughout the pandemic when corporations raised rounds in very quick succession. How have these high-velocity bullets impacted your portfolio corporations?

The quick news is that they didn’t impact too a lot of our portfolio corporations because we actually placed the primary fund in seed corporations – fresh corporations that were starting operations in 2021. Most of them were already began. But (overall) it was exhausting and I do not think these rounds were a very good idea.

One of your portfolio corporations is Vehoparcel delivery company that raised a monster Series A round and then an enormous Series B just two months later in early 2022. It laid off 20% of its employees this 12 months and there have been reports rotation.

I feel Veho is an ideal example of an organization that has weathered the economic turmoil that has occurred over the past 12 months or two thoroughly. Yes, you would say they’ve had trouble within the financial markets by attracting a lot attention and growing so quickly, but their revenue has greater than doubled within the last 12 months, so I am unable to say enough good things in regards to the team’s management and how stable the corporate is. They have been and will remain certainly one of our leading brands within the portfolio.

Of course, this stuff never move in a straight line. What is your opinion on how involved a enterprise capital firm ought to be in the businesses it invests in? This seems a bit controversial in the meanwhile.

In enterprise capital, we will not be private equity investors or controlling investors. Sometimes we’re not on board. But we’re within the business of delivering value to our corporations and being great partners. This means contributing to our industry knowledge and contributing to our networks. But I classify us as advisors, we will not be controlling investors nor can we plan to be controlling investors. So it’s really as much as us to deliver the worth our founders need.

I feel there was a time, especially throughout the pandemic, when VCs advertised that “we won’t get too involved in your company – we’ll take the burden off you and let you run your business.” We have actually seen founders eschew this view and say, “We want support.” They want someone by their side to assist them and adjust those incentives accordingly.

VC funds promised the moon throughout the pandemic, the market was very frothy. Now evidently the ability has returned to enterprise capital funds and away from the founders. What do you see day by day?

One thing that has not gone away because the rush to speculate throughout the pandemic are SAFE bonds (easy contract for future equity contracts). I assumed that once we got back to a more measured pace of investing, people would wish to return to investing only in equity rounds – capped rounds as an alternative of notes.

Both founders and investors, including us, are open to SAFE bonds. I actually have noticed that these notes have turn out to be “sophisticated” and sometimes include supplementary letters (which give certain rights, privileges and obligations beyond the terms of the usual investment document), so you actually need to ask for all the small print to make sure the table doesn’t turn out to be too complicated , before (start) (began).

It’s very tempting because SAFE will be closed, added and added so quickly. But take boards for instance; you’ll be able to draft an extra letter (with the enterprise capitalist) that (states): “Even though this is not a capitalized round, we want to be on the board”; “That’s not what SAFE notes are for, so what we’re saying to founders is, ‘If you are going to undergo this whole business creation thing, just use the equity round.’

Construct focuses on “transforming the core industries that drive half of the country’s GDP, logistics, manufacturing, mobility and critical infrastructure.” In a way, Andreessen Horowitz seems to have appropriated the identical concept and renamed it “American dynamics” Do you agree or are these different topics?

It’s a bit of different. There are definitely ways during which we are able to agree with their investment thesis. We consider that these core industries – some call them industrial spaces, others call them energy spaces, which can include transportation, mobility, supply chain and decentralized production – must turn out to be technology industries. We consider that if we’re successful, we could have a number of corporations that could be software corporations, possibly actually manufacturing corporations, but can be valued the way in which technology corporations are valued today, with the identical revenue multiples and the identical EBITDA margins over time. This is the vision we’re investing in.

We’re beginning to see a number of the older industries begin to take off. For example, a former Nextdoor executive recently raised money to upgrade his HVAC system. Are you concerned about such a offers?

There are many industries that players already operate in, and the industry may be very fragmented, so why not mix all of them (to realize) economies of scale through technology? I feel it’s smart, but we do not spend money on older technologies or corporations and then make them modern. We are more in favor of introducing technology de novo to those markets. One example is Monar during which we have now recently invested. They operate within the HVAC industry, but provide a brand new service for monitoring and measuring HVAC condition using technologically advanced sensors and monitoring and measurement services. One of the founders previously worked in HVAC and the opposite at (home security company) SimpliSafe. We wish to support individuals who understand these spaces – understand their complexity and history – and also understand tips on how to sell in them from a software and technology perspective.

This article was originally published on : techcrunch.com
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Google is laying off employees, Tesla is canning its Supercharger team, and UnitedHealthcare is revealing security vulnerabilities

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Welcome to Week in Review (WiR), TechCrunch’s regular newsletter summarizing the week in technology. This release is a bit bittersweet for me – it would be my last (a minimum of for some time). I’ll soon be shifting my focus to a brand new AI newsletter that I’m very enthusiastic about. Stay tuned for further information!

Now, let’s get to the news: This week, Google laid off employees from its Flutter, Dart, and Python teams just weeks before its annual I/O developer conference. In total, 200 people from Google’s “core” teams were laid off, including people working on application platforms and other engineering roles.

Elsewhere, Tesla CEO Elon Musk has gutted the corporate’s team answerable for overseeing its supercharger station network in a brand new round of layoffs – despite recently bringing in major automakers like Ford and General Motors. The cuts are so complete that Musk suggested in an email that they might force Tesla to slow the rollout of its Supercharger network.

UnitedHealthcare CEO Andrew Witty told a House subcommittee that the ransomware gang that breached US health tech giant Change Healthcare – a subsidiary of UnitedHealthcare – used a set of stolen credentials to realize access to Change Healthcare systems that didn’t were protected by multi-factor authentication. Last week, UnitedHealthcare reported that hackers had stolen health data for “a significant portion of people in America.”

Many other things happened. We sum all of it up on this issue of WiR – but first, let’s remind you to enroll in the WiR newsletter every Saturday.

News

Hallucinations, hallucinations: OpenAI faces one other privacy grievance within the EU. This one – filed by a nonprofit privacy rights organization night on behalf of a person complainant – targets the shortcoming of the AI-powered ChatGPT chatbot to correct misinformation about individuals that it generates.

Just get out… of Sam’s Club: Sam’s Club customers who pay on the register or via the Scan & Go mobile app can now leave the shop without having to double-check their purchases. Technology, exposed at January’s Consumer Electronics Show, it has already been implemented in 20% of Sam’s Club locations.

TikTok bypasses Apple’s rules: TikTok provides some users with a link to a web site where they should purchase coins used to tip digital creators on the platform. Typically, these coins have to be purchased via an in-app purchase – which requires a 30% commission paid to Apple – suggesting that TikTok could also be attempting to bypass Apple’s App Store rules.

NIST’s GenAI Platform: The National Institute of Standards and Technology (NIST), an agency of the U.S. Department of Commerce that develops and tests technologies for the U.S. government, businesses and most people, has launched NIST GenAI, a brand new program to judge generative artificial intelligence technologies, including text-based technologies and artificial image generating intelligence.

Getir draws out: Getir, the fast-trading giant, has withdrawn from the US, UK and Europe to deal with Turkey, its home country. The company – once valued at nearly $12 billion – said the move would impact hundreds of salaried and full-time employees.

Analysis

About Techstars’ Cold War: Dom’s stellar reporting pulls back the curtain on a 12 months of monetary losses and staff cuts at startup accelerator Techstars, whose CEO, Maëlle Gavet, has been a controversial force for change.

AI-based coding: Yours is really taking a look at Copilot Workspace, which is kind of an evolution of GitHub’s AI-powered coding assistant Copilot right into a more general tool — constructing on recently introduced features like Copilot Chat, which allows developers to ask questions on their code in natural language.

Autonomous automobile racing: Tim Stevens talks a few racing event in Abu Dhabi through which an autonomous automobile faced a Formula 1 driver.

This article was originally published on : techcrunch.com
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