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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.”

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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.

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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.

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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.

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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.

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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.

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This article was originally published on : techcrunch.com

Technology

A single default slogan reveals access to dozens of residential buildings

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a door entry system on the front of a residential building, illustrated for the story

The safety researcher claims that the default password sent within the widely used door access control system allows everyone to easily and remotely access the door locks and inspection of elevators in dozens of buildings within the USA and Canada.

Hirsch, an organization that’s now the owner of the Enterphone Mesh door access system is not going to fix the gap, saying that the error is according to the design and that customers should follow the corporate’s configuration instructions and alter the default password.

This leaves dozens of unveiled residential and office buildings in North America, which haven’t yet modified the default password of the access control system or usually are not aware that they need to, According to Eric Daiglewho found dozens of exposed buildings.

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The default slogans usually are not unusual or not necessarily a secret in devices connected to the Internet; Passwords supplied with products are frequently designed to simplify access to login for the shopper and are sometimes within the user manual. But counting on the client by changing the default password to prevent future malicious access it still classifies as susceptibility to security within the product itself.

In the case of Hirsch door products, customers usually are not monitored or required to change the default password.

As such, Daigle received a security error, formally marked as CVE-2025-26793.

No planned amendment

The default passwords have long been an issue for devices connected via the Internet, enabling malicious hackers to use passwords to log in as in the event that they were a legitimate owner and steal data or take over devices to use the bandwidth to introduce cyber attacks. In recent years, governments have tried to stop technology producers from the use of uncertain default slogans, making an allowance for the chance of security.

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In the case of the Hirsch door entry system, the error is rated as 10 out of 10 on a severity of susceptibility, thanks to the benefit with which everyone can use it. Practically speaking, the use of an error is so simple as taking the default password from the system’s installation guide on the Hirsch website and connecting the password to the login page addressed to the Internet within the system of any constructing.

IN Blog postDaigle said that last yr he was susceptible after discovering one of the doorway panels to the Enterphone door in Hirsch in a constructing within the hometown of Vancouver. Daigle used the Zoomeye scanning website to seek for Enterphone network systems that were connected to the Internet, and located 71 systems that were still based on unconnected obligations.

Daigle said that the default password allows access to the net Mesh background system, whose constructing managers use to manage access to winds, common areas and office and housing locks. Each system displays the physical address of the constructing with the mesh system installed, enabling everyone to whose constructing they’ve access.

Daigle said that you would be able to effectively break into dozens of affected buildings inside just a few minutes without attracting attention.

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TechCrunch intervened because Hirsch has no funds reminiscent of the revelation of sensitivity, members of society reminiscent of Daigle reported a security defect to the corporate.

Mark Allen, general director of Hirsch, didn’t answer Techcrunch’s request for commentary, but as an alternative put down his senior Hirsch product manager, who told Techcrunch that the use of default passwords by the corporate is “outdated” (regardless of how). The product manager said that “is equally worrying”, that there are customers who “installed systems and do not comply with manufacturers’ recommendations”, referring to their very own instructions for the Hirsch installation.

Hirsch wouldn’t commit himself to publicly disclose the main points in regards to the error, but said that he had contacted his clients regarding tracking the product manual.

Because Hirsch doesn’t want to fix the error, some buildings – and their inhabitants – will probably remain exposed. The error shows that selections regarding product development from the past can come back to have implications in the true world summer later.

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(Tagstranslata) cyber security

This article was originally published on : techcrunch.com
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Did Xai lie about GROK 3 comparative tests?

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The xAI Grok AI logo

Debates on AI comparative tests – and their reporting by AI Labs – spill at the general public.

This week, Openai worker accused Elon Musk’s Ai Company, XAI, publishing comparative results for his or her latest AI model, Grok 3. One of the co -founders of XAI, Igor Babushkin, he insisted that the corporate had the suitable.

The truth lies somewhere in between.

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IN Publish on the XAI blogThe company has published a chart showing the outcomes of GROK 3 on Aime 2025, a set of adverse mathematical questions from the recent Invitational mathematical exam. Some experts have Aime validity as a AI reference point. Nevertheless, AIME 2025 and older versions of the test are widely used to look at the mathematical ability of the model.

The XAI chart showed two variants of GROK 3, Grok 3 Reasoning Beta and GroK 3 mini reasoning, beating the very best available OpenAI, O3-Mini-High, on Aime 2025. But OpenAI employees on X quickly noticed that the XAI chart XAI chart. He didn’t consider the AME 2025 O3-Mini-High lead to “Cons@64”.

What is Cons@64, are you able to ask? Well, that is the abbreviation for “Conszeus@64” and principally gives model 64 tries to reply every problem in relation and accepts answers most frequently generated as final answers. As you may imagine, Cons@64 tends to extend the outcomes of the models, and skipping it from the chart may cause one model to surpass one other when it shouldn’t be in point of fact.

GROK 3 Beta and grok 3 mini reasoning for AIME 2025 at “@1”-what implies that the primary result, which models have achieved at a distance-see below the results of the O3-Mini-High. Grok 3 Reasoning Beta also the trail also behind the O1 Openai model on “Medium” Computing. However, XAI is GROK 3 promoting As “the smartest artificial intelligence of the world.”

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Babushkin Ox was arguing that OpenAI previously published similarly misleading comparative charts – although charts comparing the performance of its own models. A more neutral event in the talk has developed a more “accurate” chart showing almost every model in Cons@64:

But as a researcher AI Nathan Lambert He identified within the postPerhaps crucial metric stays a secret: the calculation (and money) cost he needed for every model to realize his best result. It simply shows how little a lot of the test tests AI communicates about the restrictions of models – and their strengths.

(Toshma of All State) (Enter updates) in Triptaren !!!

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This article was originally published on : techcrunch.com
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Tiktok has returned to Google and Apple App stores

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Trump TikTokk

Tiktok is obtainable for download.


Tiktok has been restored in each Apple and Google App. Return occurs after weeks of uncertainty for the long run of the appliance.

Users received messages while opening the platform on February 13.

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“Tiktok is now available on the App Store and Google Play. Download the most recent version of the appliance to discover and share more what you like at Tiktok – said the message.

According to Bloomberg, the commercial takes place after the newly appointed US prosecutor Pam Bondi sending a letter to corporations rejecting legal proceedings.

All App Store platforms received relief for the host of Byedane real estate by President Donald Trump on January 21, the day after his inauguration. The president gave Bytedance, a Chinese company, 75 days for the sale of half of his American company.

“I instruct the Prosecutor General not to take any action to enforce the Act for a period of 75 days to enable my administration to be able to determine the appropriate course,” we read within the order.

Initial ticket for the corporate Sell ​​your mental property He got here in the beginning of 2024. The Congress voted for Ban Tiktok from US users, claiming that the appliance is a threat to national security.

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According to the order, Tiktok closed the appliance, making it useless, on January 18. The application was restored on January 19, and with its return the message got here, thanking President Trump for his help.

In the times preceding the official ban on most of the 170 million users of the appliance emigrated to Xiahongsh or “Little Red Book”. Ignoring congress fears that Chinese corporations had access to American personal data, users downloaded the appliance in Defiance.

Return Tiktok to the App Store restores US users’ access to the Chinese application. There were no reports of a merger between Bytedance and any American company.

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This article was originally published on : www.blackenterprise.com
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