This year is likely to be remembered for the COVID-19 pandemic and for a significant presidential election, but there is a new contender for the most spectacularly newsworthy happening of 2020: the unveiling of GPT-3. As a very rough description, think of GPT-3 as giving computers a facility with words that they have had with numbers for a long time, and with images since about 2012.

The core of GPT-3, which is a creation of OpenAI, an artificial intelligence company based in San Francisco, is a general language model designed to perform autofill. It is trained on uncategorized internet writings, and basically guesses what text ought to come next from any starting point. That may sound unglamorous, but a language model built for guessing with 175 billion parameters 10 times more than previous competitors is surprisingly powerful.

The eventual uses of GPT-3 are hard to predict, but it is easy to see the potential. GPT-3 can converse at a conceptual level, translate language, answer email, perform (some) programming tasks, help with medical diagnoses and, perhaps someday, serve as a therapist. It can write poetry, dialogue and stories with a surprising degree of sophistication, and it is generally good at common sense a typical failing for many automated response systems. You can even ask it questions about God.

Imagine a Siri-like voice-activated assistant that actually did your intended bidding. It also has the potential to outperform Google for many search queries, which could give rise to a highly profitable company.

GPT-3 does not try to pass the Turing test by being indistinguishable from a human in its responses. Rather, it is built for generality and depth, even though that means it will serve up bad answers to many queries, at least in its current state. As a general philosophical principle, it accepts that being weird sometimes is a necessary part of being smart. In any case, like so many other technologies, GPT-3 has the potential to rapidly improve.

It is not difficult to imagine a wide variety of GPT-3 spinoffs, or companies built around auxiliary services, or industry task forces to improve the less accurate aspects of GPT-3. Unlike some innovations, it could conceivably generate an entire ecosystem.

There is a notable buzz about GPT-3 in the tech community. One user in the U.K. tweeted: "I just got access to gpt-3 and I can't stop smiling, i am so excited." Venture capitalist Paul Graham noted coyly: "Hackers are fascinated by GPT-3. To everyone else it seems a toy. Pattern seem familiar to anyone?" Venture capitalist and AI expert Daniel Gross referred to GPT-3 as "a landmark moment in the field of AI."

I am not a tech person, so there is plenty about GPT-3 I do not understand. Still, reading even a bit about it fills me with thoughts of the many possible uses.

It is noteworthy that GPT-3 came from OpenAI rather than from one of the more dominant tech companies, such as Alphabet/Google, Facebook or Amazon. It is sometimes suggested that the very largest companies have too much market power but in this case, a relatively young and less capitalized upstart is leading the way. (OpenAI was founded only in late 2015 and is run by Sam Altman).

GPT-3 is also a sign of the underlying health and dynamism of the Bay Area tech world, and thus of the U.S. economy. The innovation came to the U.S. before China and reflects the power of decentralized institutions.

Like all innovations, GPT-3 involves some dangers. For instance, if prompted by descriptive ethnic or racial words, it can come up with unappetizing responses. One can also imagine that a more advanced version of GPT-3 would be a powerful surveillance engine for written text and transcribed conversations. Furthermore, it is not an obvious plus if you can train your software to impersonate you over email. Imagine a world where you never know who you are really talking to "Is this a verified email conversation?" Still, the hope is that protective mechanisms can at least limit some of these problems.

We have not quite entered the era where "Skynet goes live," to cite the famous movie phrase about an AI taking over (and destroying) the world. But artificial intelligence does seem to have taken a major leap forward. In an otherwise grim year, this is a welcome and hopeful development. Oh, and if you would like to read more, here is an article about GPT-3 written by GPT-3.

Tyler Cowen is a Bloomberg Opinion columnist. He is a professor of economics at George Mason University and writes for the blog Marginal Revolution. His books include "Big Business: A Love Letter to an American Anti-Hero."

See the article here:
Artificial intelligence is the hope 2020 needs | Commentary | Seattle Times - Walla Walla Union-Bulletin

AI advances

More than a decade ago, Nicholas Carr,in his workDoes IT Matter, suggested that the widespread availability and low prices of technology made it more of a utility like electricity or water, versus a competitive differentiator. This may be happening with artificial intelligence to some degree.

It appears that AIs early adopter phase is ending; the market is now moving into the early majority chapter of this maturing set of technologies, write Beena Ammanath, David Jarvis and Susanne Hupfer, all with Deloitte, in their most recent analysis of the enterprise AI space. Early-mover advantage may fade soon. As adoption becomes ubiquitous, AI-powered organizations may have to work harder to maintain an edge over their industry peers.

Seventy-four prevent of 2,727 executives responding to a Deloitte survey agree that AI will be integrated into all of their enterprise applications within three years. Although adopters are still bullish on AI, their advantage may wane as barriers to adoption fall and usage grows, Ammanath and her co-authors state. Organizations are finding it easier and easier to employ AI technologies. Data science and machine learning platforms have proliferated; AI-optimized hardware is providing greater compute power. It is now easier to train algorithms through self-service data preparation tools, synthetic data, small data, and pretrained models.

It is increasingly clear that we are on the path toward an era of pervasive AI, they add. The challenge now is leveraging AI in innovative ways to maintain its advantages, the study finds. For example, much of the work with AI is still confined to managing IT systems. In addition, there still isnt enough AI talent to go around.

At least 26% of the companies surveyed can be considered seasoned AI adopters, meaning they have undertaken a large number of AI production deployments and have developed a high level of AI expertise across the board. These AI leaders are still seeing competitive advantage 45% of this group said that AI technologies have enabled them to establish a significant lead over their competitors, versus 26% of the entire sample.

Still, this means a majority of even the most advanced AI companies, 55%, still arent seeing competitive advantage. Part of this may be due to the fact that AI is still confined to IT departments and functions, including cybersecurity Forty-seven percent of respondents indicated that IT was one of the top two functions for which AI was primarily used, the survey shows.

This could mean that companies are using AI for IT-related applications such as analyzing IT infrastructure for anomalies, automating repetitive maintenance tasks, or guiding the work of technical support teams, Ammanath and her co-authors note. Tellingly, business functions such as marketing, human resources, legal, and procurement ranked at the bottom of the list of AI-driven functions.

An area that needs work is finding or preparing individuals to work with AI systems. Fewer than half of executives (45%) say they have a high level of skill around integrating AI technology into their existing IT environments, the survey shows. This could include data science and machine learning platforms, enterprise applications powered by AI, tools for developing conversation interfaces, and low-code or no-code tools. Across all these different technology areas, 93% are using cloud-based AI capabilities, while 78% employ open-source AI capabilities.

Ammanath and her team offer some suggestions for keeping the edge with AI:

Pursue creative approaches. Take inspiration from inventive use cases to develop solutions that are both useful and novel.

Push boundaries. Expand your view of what may be possible to accomplish with AI technologies. Try to pursue a more diverse portfolio of projects that could potentially enhance multiple business functions across the enterprise.

Create the new. Look to develop new AI-powered products and services that take advantage of the technologies ability to learn and solve problems that humans cant.

Expand the circle. Move AI beyond the IT department by involving more of the business in AI efforts. Look for new vendors, partnerships, data sources, tools, and techniques to advance your efforts.

Leverage a diverse team. Include both technical and business experts in selecting AI technologies and suppliers. Having a broad perspective from developers, integrators, end users, and business owners can help ensure organizational alignment and a focus on business outcomes. Along with any vendor support consider using working groups, dedicated leaders, or communities of practice.

Actively address risks. Developing a set of principles and processes to actively manage the range of AI risks can help build trust within your business and with customers and partners.

Challenge vendors. While it is important to build trust and transparency with providers of your AI-powered systems, it can be equally essential to ensure that what they provide is aligned with your organizations ethical principles.

Read more:
Artificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take Off - Forbes

If your phone takes amazing photos, chances are its camera has been augmented by artificial intelligence embedded in the operating system. Now videos are getting the same treatment.

In recent years, smartphone makers have been gradually transforming their cameras into devices that capture data for AI processing beyond what the lens and sensor pick up in a single shot. That effectively turns a smartphone into a professional camera on auto mode and lowers the bar of capturing compelling images and videos.

In an era of TikTok and vlogging, theres a huge demand to easily produce professional-looking videos on the go. Like still images, videos shot on smartphones rely not just on the lens and sensor but also on enhancement algorithms. To some extent, those lines of codes are more critical than the hardware, argued Andreas Lifvendahl, founder and chief executive of Swedish company Imint, whose software now enhances video production in roughly 250 million devices most of which come from Chinese manufacturers.

[Smartphone makers] source different kinds of camera solutions motion sensors, gyroscopes, and so on. But the real differentiator, I would say, is more on the software side, Lifvendahl told TechCrunch over the phone.

Imint started life in 2007 as a spin-off academic research team from Uppsala University in Sweden. It spent the first few years building software for aerial surveillance, just as many cutting-edge innovations that find their first clients in the defense market. In 2013, Lifvendahl saw the coming of widespread smartphone adaptation and a huge opportunity to bring the same technology used in defense drones into the handsets in peoples pockets.

Smartphone companies were investing a lot in camera technology and that was a clever move, he recalled. It was very hard to find features with a direct relationship to consumers in daily use, and the camera was one of those because people wanted to document their life.

But they were missing the point by focusing on megapixels and still images. Consumers wanted to express themselves in a nice fashion of using videos, the founder added.

Source: Imints video enhancement software, Vidhance

The next February, the Swedish founder attended Mobile World Congress in Barcelona to gauge vendor interest. Many exhibitors were, unsurprisingly, Chinese phone makers scouring the conference for partners. They were immediately intrigued by Imints solution, and Lifvendahl returned home to set about tweaking his software for smartphones.

Ive never met this sort of open attitude to have a look so quickly, a clear signal that something is happening here with smartphones and cameras, and especially videos, Lifvendahl said.

Vidhance, Imints video enhancement software suite mainly for Android, was soon released. In search of growth capital, the founder took the startup public on the Stockholm Stock Exchange at the end of 2015. The next year, Imint landed its first major account with Huawei, the Chinese telecoms equipment giant that was playing aggressive catch-up on smartphones at the time.

It was a turning point for us because once we could work with Huawei, all the other guys thought, Okay, these guys know what they are doing,' the founder recalled. And from there, we just grew and grew.

The hyper-competitive nature of Chinese phone makers means they are easily sold on new technology that can help them stand out. The flipside is the intensity that comes with competition. The Chinese tech industry is both well-respected and notorious for its fast pace. Slow movers can be crushed in a matter of a few months.

In some aspects, its very U.S.-like. Its very straight to the point and very opportunistic, Lifvendahl reflected on his experience with Chinese clients. You can get an offer even in the first or second meeting, like, Okay, this is interesting, if you can show that this works in our next product launch, which is due in three months. Would you set up a contract now?'

Thats a good side, he continued.The drawback for a Swedish company is the demand they have on suppliers. They want us to go on-site and offer support, and thats hard for a small Swedish company. So we need to be really efficient, making good tools and have good support systems.

The fast pace also permeates into the phone makers development cycle, which is not always good for innovation, suggested Lifvendahl. They are reacting to market trends, not thinking ahead of the curve what Apple excels in or conducting adequate market research.

Despite all the scrambling inside, Lifvendahl said he was surprised that Chinese manufacturers could get such high-quality phones out.

They can launch one flagship, maybe take a weekend break, and then next Monday they are rushing for the next project, which is going to be released in three months. So theres really no time to plan or prepare. You just dive into a project, so there would be a lot of loose ends that need to be tied up in four or five weeks. You are trying to tie hundreds of different pieces together with fifty different suppliers.

Imint is one of those companies that thrive by finding a tough-to-crack niche. Competition certainly exists, often coming from large Japanese and Chinese companies. But theres always a market for a smaller player who focuses on one thing and does it very well. The founder compares his company to a little niche boutique in the corner, the hi-fi store with expensive speakers. His competitors, on the other hand, are the Walmarts with thick catalogs of imaging software.

The focused strategy is what allows Imints software to enhance precision, reduce motion, track moving objects, auto-correct horizon, reduce noise, and enhance other aspects of a video in real-time all through deep learning.

About three-quarters of Imints revenues come from licensing its proprietary software that does these tricks. Some clients pay royalties on the number of devices shipped that use Vidhance, while others opt for a flat annual fee. The rest of the income comes from licensing its development tools or SDK, and maintenance fees.

Imint now supplies its software to 20 clients around the world, including the Chinese big-four of Huawei, Xiaomi, Oppo and Vivo as well as chip giants like Qualcomm and Mediatek. ByteDance also has a deal to bake Imints software into Smartisan, which sold its core technology to the TikTok parent last year. Imint is beginning to look beyond handsets into other devices that can benefit from high-quality footage, from action cameras, consumer drones, through to body cameras for law enforcement.

So far, the Swedish company has been immune from the U.S.-China trade tensions, but Lifvendahl worried as the two superpowers move towards technological self-reliance, outsiders like itself will have a harder time entering the two respective markets.

We are in a small, neutral country but also are a small company, so were not a strategic threat to anyone. We come in and help solve a puzzle, assured the founder.

See the rest here:
Imint is the Swedish firm that gives Chinese smartphones an edge in video production - TechCrunch

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Artificial intelligence is being used to help divorcing couples divide assets and develop a parenting plan for their children. The technology has the potential to make family law matters cheaper and less stressful. University of Newcastle researchers Professor Tania Sourdin and Dr Bin Li have examined this technology, including the apps Amica, Adieu and Penda. Their work was part of a major research project on justice apps at Newcastle Law School. The Newcastle academics say complex family law cases can "cost each party more than $200,000". "There is a need for cheaper, smarter dispute resolution options in the family law area," said Professor Sourdin, who is Dean of the university's law school. Asked if the apps could improve family law, Professor Sourdin said: "Yes, for some people an app can help". "In a way it may make it easier because the time frames might be shorter. "Also not having to talk with your former partner can be helpful where there are no children." Some apps also support "easy referral to counselling, mediation and other services, which can be very useful". "Often people who are self represented need support and there is evidence that a lot of people have difficulty finalising arrangements without a lawyer," she said. Apps can help reduce legal costs while ensuring that people have access to a lawyer when needed. The coronavirus pandemic has put a spotlight on relationships, amid reports that lockdown and job losses has led to more strain between couples and separations. The use of apps to settle family law disputes seem suited to the times. "It is where society is heading. Many people want to access the justice system from their home 24-7," Professor Sourdin said. "Apps can help with this and also provide referral to professionals when needed." Dr Li said the trend towards such apps was "much clearer" in the pandemic. The federal government is supporting apps with artificial intelligence to "empower separating couples to resolve their family law disputes online". Attorney-General Christian Porter issued a press release last month about the Amica app. National Legal Aid developed Amica with $3 million in federal funding. This app is suitable for couples whose relationship is "relatively amicable". "Amica uses artificial-intelligence technology to suggest the split of assets," Mr Porter said. He added that Amica considers a couple's circumstances, agreements reached by couples in similar situations and how courts generally handle disputes of the same nature. "The tool can also assist parents to develop a parenting plan for their children." The Morrison government wants to improve the family law system to make it "faster, simpler, cheaper and much less stressful for separating couples and their children". The government believes Amica will help couples resolve disputes between themselves and avoid court. The app is aimed at reducing legal bills for separating couples and pressure on family law courts. Dr Li, a lecturer at the university's law school, said there had been "extensive discussion and debate on the reform of the family law system in Australia". He said the apps could "alleviate the burden of courts and the load on judges". Professor Sourdin said the apps "need to be carefully developed". "There are concerns they may not function well and that the data used to power the AI [artificial intelligence] is deficient," she said. "There are also real issues about how effective justice apps can be where there is a lack of agreement about what the issues are or what evidence is correct. "Law can be very complex and requires contextual understandings." There are also concerns about digital literacy and access to technology. However, Professor Sourdin was surprised when their review of the Adieu justice app showed users were older than expected. "For example 41 per cent of the 800 or so people who had used the Adieu app had a relationship of more than 15 years," she said. Dr Li said there was also concern about data and privacy protection. "What if the data collected by apps are hijacked and used by an unauthorised third party?", he said. Nevertheless, they say apps in the justice sector can have many benefits. Professor Sourdin said justice apps could be used to "help people with their legal rights". "The DoNotPay app that is used in the US is a good example. This app can help people with simple matters - from parking fines to travel refunds," she said.

https://nnimgt-a.akamaihd.net/transform/v1/crop/frm/3AijacentBN9GedHCvcASxG/3a380c63-19c6-4322-9665-f43828eb021a.jpg/r48_0_4729_2645_w1200_h678_fmax.jpg

Artificial intelligence is being used to help divorcing couples divide assets and develop a parenting plan for their children.

The technology has the potential to make family law matters cheaper and less stressful.

University of Newcastle researchers Professor Tania Sourdin and Dr Bin Li have examined this technology, including the apps Amica, Adieu and Penda.

Their work was part of a major research project on justice apps at Newcastle Law School.

The Newcastle academics say complex family law cases can "cost each party more than $200,000".

"There is a need for cheaper, smarter dispute resolution options in the family law area," said Professor Sourdin, who is Dean of the university's law school.

Asked if the apps could improve family law, Professor Sourdin said: "Yes, for some people an app can help".

"In a way it may make it easier because the time frames might be shorter.

"Also not having to talk with your former partner can be helpful where there are no children."

Some apps also support "easy referral to counselling, mediation and other services, which can be very useful".

"Often people who are self represented need support and there is evidence that a lot of people have difficulty finalising arrangements without a lawyer," she said.

Apps can help reduce legal costs while ensuring that people have access to a lawyer when needed.

The coronavirus pandemic has put a spotlight on relationships, amid reports that lockdown and job losses has led to more strain between couples and separations.

The use of apps to settle family law disputes seem suited to the times.

"It is where society is heading. Many people want to access the justice system from their home 24-7," Professor Sourdin said.

"Apps can help with this and also provide referral to professionals when needed."

Dr Li said the trend towards such apps was "much clearer" in the pandemic.

The federal government is supporting apps with artificial intelligence to "empower separating couples to resolve their family law disputes online".

Attorney-General Christian Porter issued a press release last month about the Amica app.

National Legal Aid developed Amica with $3 million in federal funding.

This app is suitable for couples whose relationship is "relatively amicable".

"Amica uses artificial-intelligence technology to suggest the split of assets," Mr Porter said.

He added that Amica considers a couple's circumstances, agreements reached by couples in similar situations and how courts generally handle disputes of the same nature.

"The tool can also assist parents to develop a parenting plan for their children."

The Morrison government wants to improve the family law system to make it "faster, simpler, cheaper and much less stressful for separating couples and their children".

The government believes Amica will help couples resolve disputes between themselves and avoid court.

The app is aimed at reducing legal bills for separating couples and pressure on family law courts.

Dr Li, a lecturer at the university's law school, said there had been "extensive discussion and debate on the reform of the family law system in Australia".

He said the apps could "alleviate the burden of courts and the load on judges".

Professor Sourdin said the apps "need to be carefully developed".

"There are concerns they may not function well and that the data used to power the AI [artificial intelligence] is deficient," she said.

"There are also real issues about how effective justice apps can be where there is a lack of agreement about what the issues are or what evidence is correct.

"Law can be very complex and requires contextual understandings."

There are also concerns about digital literacy and access to technology.

However, Professor Sourdin was surprised when their review of the Adieu justice app showed users were older than expected.

"For example 41 per cent of the 800 or so people who had used the Adieu app had a relationship of more than 15 years," she said.

Dr Li said there was also concern about data and privacy protection.

"What if the data collected by apps are hijacked and used by an unauthorised third party?", he said.

Nevertheless, they say apps in the justice sector can have many benefits.

Professor Sourdin said justice apps could be used to "help people with their legal rights".

"The DoNotPay app that is used in the US is a good example. This app can help people with simple matters - from parking fines to travel refunds," she said.

Here is the original post:
How artificial intelligence is being used for divorce and separations with apps like Amica, Adieu and Penda - Newcastle Herald

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Table Of Content

1 Automotive Artificial Intelligence Introduction and Market Overview

2 Industry Chain Analysis

3 Global Automotive Artificial Intelligence Value (US$ Mn) and Market Share, Production , Value (US$ Mn) , Growth Rate and Average Price (US$/Ton) analysis by Type (2015-2019E)

4 Automotive Artificial Intelligence Consumption, Market Share and Growth Rate (%) by Application (2015-2019E) by Application

5 Global Automotive Artificial Intelligence Production, Value (US$ Mn) by Region (2015-2019E)

6 Global Automotive Artificial Intelligence Production (K Units), Consumption (K Units), Export (%), Import (%) by Regions (2015-2019E)

7 Global Automotive Artificial Intelligence Market Status by Regions

8 Competitive Landscape Analysis

9 Global Automotive Artificial Intelligence Market Analysis and Forecast by Type and Application

10 Automotive Artificial Intelligence Market Analysis and Forecast by Region

11 New Project Feasibility Analysis

12 Research Finding and Conclusion13 Appendix13.1 Methodology13.2 Research Data Source

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Global Automotive Artificial Intelligence Market Analysis by Emerging Trends, Size, Share, Future Growth, Current Statistics, Brand Endorsements and...