Available for Vertex AI customers on the allowlist, Imagen 2 enables users to craft and deploy photorealistic images using intuitive tooling and fully-managed infrastructure. 

Developed with Google DeepMind technology, Imagen 2 offers improved image quality and a range of functionalities tailored for specific use cases.

Key features of Imagen 2 include:

• Diverse image generation: Imagen 2 excels in creating high-resolution images from natural language prompts that cater to various user requirements.

• Text rendering in multiple languages: Overcoming common challenges, Imagen 2 supports accurate text rendering in multiple languages.

• Logo generation: Businesses can leverage Imagen 2 to create a variety of creative and realistic logos—with the option to overlay them on products, clothing, business cards, and more.

• Captions and question-answering: Imagen 2’s advanced image understanding capabilities facilitate the creation of descriptive captions and provide detailed answers to questions about image elements.

• Multi-language support: Imagen 2 introduces support for six additional languages in preview, with plans for more in early 2024. This includes the ability to translate between prompt and output.

• Safety measures: Imagen 2 incorporates built-in safety precautions, aligning with Google’s Responsible AI principles. It features safety filters and integrates with a digital watermarking service to ensure responsible use.

Enterprise-ready capabilities

Imagen 2 on Vertex AI is designed to meet enterprise standards, offering reliability and governance akin to its predecessor. With new features such as high-quality image rendering, improved text rendering, logo generation, and safety measures, Imagen 2 aims to provide organisations with a comprehensive tool for creative image generation.

Leading companies like Snap, Shutterstock, and Canva have already embraced Imagen for creative purposes.

Chris Loy, Director of AI Services at Shutterstock, commented: “We exist to empower the world to tell their stories by bridging the gap between idea and execution.

“Variety is critical for the creative process, which is why we continue to integrate the latest and greatest technology into our image generator and editing features—as long as it is built on responsibly sourced data,”

Danny Wu, Head of AI at Canva, added: “We’re continuing to use generative AI to innovate the design process and augment imagination.

“With Imagen, our 170M+ monthly users can benefit from the image quality improvements to uplevel their content creation at scale.”

As Imagen 2 makes waves in the creative industry, organisations are encouraged to explore its potential. Google Cloud anticipates users will harness the new features to elevate their creative endeavours and build on the success achieved with Imagen.

(Photo by G on Unsplash)

See also: Microsoft unveils 2.7B parameter language model Phi-2

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week.

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Demis Hassabis, CEO and Co-Founder of Google DeepMind, introduced Gemini as a multimodal model that is capable of seamlessly understanding and combining various types of information, including text, code, audio, image, and video.

Gemini comes in three optimised versions: Ultra, Pro, and Nano. The Ultra model boasts state-of-the-art performance, surpassing human experts in language understanding and demonstrating unprecedented capabilities in tasks ranging from coding to multimodal benchmarks.

What sets Gemini apart is its native multimodality, eliminating the need for stitching together separate components for different modalities. This groundbreaking approach, fine-tuned through large-scale collaborative efforts across Google teams, positions Gemini as a flexible and efficient model capable of running on data centres to mobile devices.

One of Gemini’s standout features is its sophisticated multimodal reasoning, enabling it to extract insights from vast datasets with remarkable precision. The model’s prowess extends to understanding and generating high-quality code in popular programming languages.

However, as Google ventures into this new era of AI, responsibility and safety remain paramount. Gemini undergoes rigorous safety evaluations, including assessments for bias and toxicity. Google is actively collaborating with external experts to address potential blind spots and ensure the model’s ethical deployment.

Gemini 1.0 is now rolling out across various Google products – including the Bard chatbot – with plans for integration into Search, Ads, Chrome, and Duet AI. However, the Bard upgrade will not be released in Europe pending clearance from regulators.

Developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Android developers will also be able to build with Gemini Nano via AICore, a new system capability available in Android 14.

(Image Credit: Google)

See also: AI & Big Data Expo: AI’s impact on decision-making in marketing

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The post Google’s next-gen AI model Gemini outperforms GPT-4 appeared first on AI News.

The collaboration between Google and Anthropic dates back to the founding of Anthropic in 2021. The two companies have closely collaborated, with Anthropic building one of the largest Google Kubernetes Engine (GKE) clusters in the industry.

“Our longstanding partnership with Google is founded on a shared commitment to develop AI responsibly and deploy it in a way that benefits society,” said Dario Amodei, co-founder and CEO of Anthropic.

“We look forward to our continued collaboration as we work to make steerable, reliable and interpretable AI systems available to more businesses around the world.”

Anthropic utilises Google’s AlloyDB, a fully managed PostgreSQL-compatible database, for handling transactional data with high performance and reliability. Additionally, Google’s BigQuery data warehouse is employed to analyse vast datasets, extracting valuable insights for Anthropic’s operations.

As part of the expanded partnership, Anthropic will leverage Google’s latest generation Cloud TPU v5e chips for AI inference. Anthropic will use the chips to efficiently scale its powerful Claude large language model, which ranks only behind GPT-4 in many benchmarks.

The announcement comes on the heels of both companies participating in the inaugural AI Safety Summit (AISS) at Bletchley Park, hosted by the UK government. The summit brought together government officials, technology leaders, and experts to address concerns around frontier AI.

Google and Anthropic are also engaged in collaborative efforts with the Frontier Model Forum and MLCommons, contributing to the development of robust measures for AI safety.

To enhance security for organisations deploying Anthropic’s models on Google Cloud, Anthropic is now utilising Google Cloud’s security services. This includes Chronicle Security Operations, Secure Enterprise Browsing, and Security Command Center, providing visibility, threat detection, and access control.

“Anthropic and Google Cloud share the same values when it comes to developing AI–it needs to be done in both a bold and responsible way,” commented Thomas Kurian, CEO of Google Cloud. 

“This expanded partnership with Anthropic – built on years of working together – will bring AI to more people safely and securely, and provides another example of how the most innovative and fastest growing AI startups are building on Google Cloud.”

Google and Anthropic’s expanded partnership promises to be a critical step in advancing AI safety standards and fostering responsible development.

(Photo by charlesdeluvio on Unsplash)

See also: Amazon is building a LLM to rival OpenAI and Google

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Brin has been particularly focusing on the development of Google’s next-generation AI model, Gemini. According to reports from the Wall Street Journal, Brin has been showing up at Google offices three to four days a week since the buzz around the success of ChatGPT began late last year.

Brin’s involvement has been primarily in supporting the hiring process and strategically selecting key personnel for the AI team after the loss of several important researchers in the field.

Google and Alphabet CEO Sundar Pichai has embraced and encouraged Brin’s newfound engagement with the company.

The co-founder’s previous lack of interest in AI has been well-documented, with some employees revealing that he had neglected the early developments of Google’s Brain division, which played a pioneering role in shaping today’s AI landscape.

ChatGPT’s success appears to have prompted Brin to catch up on the latest AI advancements and acknowledge its importance.

Microsoft’s plans to integrate a new version of ChatGPT into its Bing search engine set off alarm bells at Google. In response, Google CEO Sundar Pichai invited the company’s founders – Larry Page and Sergey Brin – to return for a series of meetings to review its AI strategy.

Google launched its own AI language model, Google Bard, to compete with OpenAI’s product.

Bard’s launch was considered “botched” by many Googlers and the chatbot gained a public reputation as being less sophisticated and more prone to errors compared to ChatGPT. Since then, Bard has undergone significant improvements.

One of the recent boosts to Bard’s capabilities is the integration of Google Lens, leveraging Google’s vast array of products and technologies. With this integration, Bard can now perform various tasks – including visual recognition and understanding – providing users with a more comprehensive and interactive experience.

Brin’s active involvement in the development of Gemini is a clear indication of Google’s commitment to staying at the forefront of AI research and innovation. As AI technologies continue to evolve, the company recognises the need to foster a strong team and develop cutting-edge models to remain competitive in the AI market.

Industry experts and analysts have praised Google’s move to embrace Brin’s expertise in the field, stating that his hands-on approach will likely result in significant advancements for the company.

With Brin’s leadership and the dedicated efforts of the AI team, Google aims to surpass existing AI models like ChatGPT and secure its position as a leading force in the landscape.

(Image Credit: Thomas Hawk under CC BY-NC 2.0 license)

See also: Google report highlights AI’s impact on the UK economy

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The report suggests that by 2030, AI could boost the UK economy by £400 billion—leading to an annual growth rate of 2.6 percent.

Steven Mooney, CEO of FundMyPitch, commented:

“If AI is projected to bring billions to the UK economy, then why on earth aren’t our start-ups and SMEs getting the funding they need to take their businesses to the next level?

Time and time again, reports show that UK entrepreneurs struggle to secure access to credible funding or even an independent valuation, in stark contrast to other markets.

A failure to get ahead of the game on AI will have disastrous consequences for the economy, so giving full financial backing to up-and-coming companies that are pioneering developments in this technology should be a top priority.”

Google’s UK and Ireland boss, Debbie Weinstein, describes the transformative power of AI as unprecedented in the tech industry.

While concerns about job displacement due to AI exist, Weinstein reassures that new job opportunities will also arise as a result of AI implementation. She acknowledges the impact that this technology will have on people and emphasises the need to equip individuals with the necessary skills.

Recognising the profound impact AI will have on all aspects of society, Google says that it aims to ensure that individuals are prepared for this fundamental shift.

The report comes at a time when fears about the disruptive nature of AI are widespread. 

Professor Geoffrey Hinton, known as the “godfather of AI,” recently resigned from Google, expressing concerns about the potential misuse of AI tools.

Hinton warns of the possibility of bad actors using AI for nefarious purposes. However, he also acknowledges that someone else would have developed AI if he had not, suggesting that responsible development and regulation are necessary.

The call for caution and regulation in AI development has been echoed by experts worldwide. 

The launch of tools like ChatGPT and Midjourney has highlighted the potential for misuse. Google’s report emphasises the importance of regulation as AI technology advances and affirms that the company is actively collaborating with regulators globally.

Moreover, Google supports the establishment of a “national skills agenda” involving governments, businesses, and educational institutions. This collaborative effort aims to ensure that workers are not left behind as AI technology progresses.

Chris Downie, CEO of Pasabi, said:

“With AI set to bring unprecedented change to the economy, it is refreshing to see companies like Google looking to work proactively with Government to take a nuanced approach to regulation.

A national skills agenda and the UK Research Cloud are admirable initiatives, however, more attention still needs to be given to the risks posed by cyber criminals who are already hijacking the technology for their own harmful purposes.

From online scams to the global epidemic of fake reviews, to adopt a proactive approach to harness the latest fraud detection technologies to take the fight to online fraudsters.”

Google recognises the necessity of striking a balance, enabling agile regulation to attract inward investment while effectively managing the risks associated with AI.

By fostering collaboration between various stakeholders and prioritising skill development, the UK can capitalise on the competitive advantages offered by AI while safeguarding against negative consequences.

AI presents both challenges and opportunities, and it is crucial to navigate this technological shift thoughtfully and responsibly.

See also: UK will host global AI summit to address potential risks

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The event is co-located with Digital Transformation Week.

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Hinton, alongside two others, won the Turing Award in 2018 for laying the foundations of AI. He had been working at Google since 2013 but resigned to speak out about the fast pace of AI development and the risks it poses.

In an interview with The New York Times, Hinton warned that the rapid development of generative AI products was “racing towards danger” and that false text, images, and videos created by AI could lead to a situation where average people “would not be able to know what is true anymore.”

Hinton also expressed concerns about the impact of AI on the job market, as machines could eventually replace roles such as paralegals, personal assistants, and translators.

“The idea that this stuff could actually get smarter than people — a few people believed that. But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that,” said Hinton.

Hinton’s concerns are not unfounded. AI has already been used to create deepfakes, which are videos that manipulate facial and voice expressions to make it appear that someone is saying something they did not say. These deepfakes can be used to spread misinformation or damage a person’s reputation.

Furthermore, AI has the potential to automate many jobs, leading to job losses. This week, IBM CEO Arvind Krishna said that the company plans to use AI to replace around 30 percent of back office jobs—equivalent to around 7,800 jobs.

Hinton is not alone in his concerns. Other experts have also warned about the risks of AI.

Elon Musk, the CEO of Tesla and SpaceX, called AI “our biggest existential threat”. The following year, the legendary astrophysicist Neil deGrasse Tyson said that he shares Musk’s view. In 2018, Stephen Hawking warned that AI could replace humans as the dominant species on Earth.

In March, Musk joined Apple co-founder Steve Wozniak and over 1,000 other experts in signing an open letter calling for a  halt to “out-of-control” AI development.

However, some experts believe that AI can be developed in a way that benefits society. For example, AI can be used to diagnose diseases, detect fraud, and reduce traffic accidents.

To ensure that AI is developed in a responsible and ethical manner, many organisations have developed guidelines, including the IEEE, the EU, and the OECD.

The concerns raised by Hinton about AI are significant and highlight the need for responsible AI development. While AI has the potential to bring many benefits to society, it is crucial that it is developed in a way that minimises its risks and maximises its benefits.

(Image Credit: Eviatar Bach under CC BY-SA 3.0 license. Image cropped from original.)

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The move is seen as a strategic way for Google to maintain its edge in the competitive AI industry and compete with OpenAI. By combining the talent and resources of both entities, Google DeepMind aims to accelerate AI advancements while maintaining ethical standards.

The new unit will be responsible for spearheading groundbreaking AI products and advancements, and it will work closely with other Google product areas to deliver AI research and products.

Google Research, the former parent division of Google Brain, will remain an independent division focused on “fundamental advances in computer science across areas such as algorithms and theory, privacy and security, quantum computing, health, climate and sustainability, and responsible AI.”

Demis Hassabis, CEO of DeepMind, believes that the consolidation of the two AI research labs will bring together world-class talent in AI with the computing power, infrastructure, and resources to create the next generation of AI breakthroughs and products boldly and responsibly.

Hassabis claims that the research accomplishments of Google Brain and DeepMind have formed the foundation of the current AI industry—ranging from deep reinforcement learning to transformers. The newly consolidated unit will build upon this foundation to create the next generation of groundbreaking AI products and advancements that will shape the world.

Over the years, Google and DeepMind have jointly developed several groundbreaking innovations. The duo’s achievements include AlphaGo – which famously beat professional human Go players – and AlphaFold, an exceptional tool that accurately predicts protein structures.

Other noteworthy achievements include word2vec, WaveNet, sequence-to-sequence models, distillation, deep reinforcement learning, and distributed systems and software frameworks like TensorFlow and JAX. These cutting-edge tools have proven highly effective for expressing, training, and deploying large-scale ML models.

Google’s acquisition of DeepMind for $500 million in 2014 paved the way for a fruitful collaboration between the two entities. With the consolidation of Google Brain and DeepMind into Google DeepMind, Google hopes to further advance its AI research and development capabilities.

Google’s chief scientist, Jeff Dean, will take on an elevated role as chief scientist for both Google Research and Google DeepMind. He has been tasked with setting the future direction of AI research at the company, as well as heading up the most critical and strategic technical projects related to AI, including a series of powerful multimodal AI models.

The creation of Google DeepMind underscores Google and parent company Alphabet’s commitment to furthering the pioneering research of both DeepMind and Google Brain. With the race to dominate the AI space becoming more intense, Google DeepMind is poised to accelerate AI advancements and create groundbreaking AI products and advancements that will shape the world.

(Image Credit: Google DeepMind)

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Earlier this year, Microsoft enhanced its Bing search engine with OpenAI’s GPT. The release reportedly set off alarm bells at Google due to the risks it poses to its core search and advertising business.

Google has been working on its own AI-powered features for its search engine under a project codenamed Magi, according to a report citing internal documents.

Ads will continue to be shown in search results generated by Magi, especially those that could lead to a financial transaction. Magi will simply focus on improving Google’s existing search engine features with AI capabilities

The project reportedly involves a team of about 160 engineers working to tweak and test the latest versions of the tool. The capabilities are “being created by designers, engineers, and executives working in so-called sprint rooms to tweak and test the latest versions.”

Google is planning a public release of the tool next month in a limited capacity. Around one million people will get to access the project’s features as part of the first batch. Around 30 million users are expected to have access by the end of the year.

Microsoft has been investing heavily in AI research and development through OpenAI, the creator of ChatGPT. This investment has given Microsoft an edge in developing AI products, which Google is now seeking to compete with.

A last-minute event was held by Google the day after Microsoft held an event to announce the GPT-enhanced Bing search engine and Edge browser. Google’s event was a mess. Previous announcements were rehashed, a presenter’s phone went missing, and CEO Sundar Pichai was nowhere to be seen.

Googlers took to the internal forum ‘Memegen’ to criticise Pichai’s leadership. One wrote, “Dear Sundar, the Bard launch and the layoffs were rushed, botched, and myopic” and called on Pichai to “please return to taking a long-term outlook.”

In the month after Microsoft released its AI-enhanced Bing, users surged to over 100 million for the first time.

“Of the millions of active users of the new Bing preview, it’s great to see that roughly one-third are new to Bing,” wrote Yusuf Mehdi, Head of Bing at Microsoft, in a blog post.

“We see this appeal of the new Bing as a validation of our view that search is due for a reinvention and of the unique value proposition of combining Search + Answers + Chat + Creation in one experience.”

Project Magi will be seen as an opportunity for Google to get back on its feet and prove it hasn’t fallen behind Microsoft.

(Image Credit: Google)

Related: Google plays it safe with initial Bard rollout

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The ChatGPT rival was announced via a blog post in February, seemingly to get ahead of Microsoft’s own big reveal event the next day.

Microsoft’s plans to integrate a new version of ChatGPT into its Bing search engine set off alarm bells at Google. In response, Google CEO Sundar Pichai invited the company’s founders – Larry Page and Sergey Brin – to return for a series of meetings to review its AI strategy.

In stark contrast to Microsoft’s polished event, a last-minute event held by Google the day after was a mess. Previous announcements were rehashed, a presenter’s phone went missing, and Pichai was nowhere to be seen.

Googlers took to the internal forum ‘Memegen’ to criticise Pichai’s leadership. One wrote, “Dear Sundar, the Bard launch and the layoffs were rushed, botched, and myopic” and called on Pichai to “please return to taking a long-term outlook.”

During a Bard promo video, an incorrect answer was shown that sent Google’s shares plummeting and wiped $120 billion from its value.

Google AI Chief Jeff Dean had allegedly even warned colleagues ahead of the reveal that it cannot rush products like Bard to the market because the company has more “reputational risk” in providing wrong information.

The contrast between Microsoft’s and Google’s announcements was stark. Microsoft looked unstoppable while Google appeared to be in absolute chaos. However, things shifted in the coming weeks.

Users began reporting “unhinged” responses from Microsoft’s chatbot—including not just incorrect information, but also the bot appearing to be in a depressive state, wanting to be human, and even claiming to spy on people through their webcams.

Suddenly, that one error in Bard’s promo video didn’t look so bad. Furthermore, it justified Google’s decision to hold fire on releasing Bard to the public.

Google now appears to be comfortable with Bard being ready for public testing:

“Our work on Bard is guided by our AI Principles, and we continue to focus on quality and safety,” wrote Google in a blog post.

“We’re using human feedback and evaluation to improve our systems, and we’ve also built in guardrails, like capping the number of exchanges in a dialogue, to try to keep interactions helpful and on topic.”

In a quick test, Bard (left of screenshot) is subjectively more concise with its responses than Bing (right of screenshot) while the latter is slightly more comprehensive:

However, there are currently a few key differences:

• Bing’s chatbot wants to continue the conversation and suggests possible follow-up questions.
• Bing’s chatbot makes it clear where it’s getting its information so users can get more background.
• Bard reminds the user before starting a conversation that it has “limitations” and “won’t always get it right”. Furthermore, the page always displays a warning that Bard “may display inaccurate or offensive information that doesn’t represent Google’s views.”

You can sign up to try Bard here. Google is currently rolling out access in the US and UK but will be expanding to other countries and languages over time.

(Image Credit: Google)

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Microsoft’s alternative, ChatGPT, set off alarm bells at Google. In response, Pichai invited Google founders – Larry Page and Sergey Brin – to return for a series of meetings to review the company’s AI strategy.

Following those meetings, it was clear that Google intended to get its AI products to market faster. The company allegedly decided to speed up its AI review process to that end.

However, it’s worth noting that Google AI Chief Jeff Dean told employees at the time that the company has more “reputational risk” in providing wrong information. That’s worth remembering for a bit later.

Rumours that Microsoft was to integrate a new version of ChatGPT, powered by GPT-4, into Bing appeared to turn the alarm bells at Google into a full-blown siren.

Google announced a relatively last-minute AI event in what was widely perceived to be an attempt to get the jump on Microsoft’s announcement. Microsoft then announced an even more last-minute event.

A day before Microsoft’s event, Pichai published a blog post to announce Bard. Google technically beat Microsoft to its announcements but the post largely just sounded like it was playing catch-up to ChatGPT rather than offering anything new.

Microsoft’s event the next day stole the spotlight. The latest version of ChatGPT, integrated with Bing and Edge – with Office and more on the horizon – proved to be impressive. Within 48 hours, more than one million people registered to test it. Despite being last-minute, the event was polished.

Next up was Google’s event. What was presented wasn’t bad, per se, but largely rehashed previous announcements in what felt like an attempt to remind people that Google hasn’t been left behind in AI.

However, the main issue with Google’s event is that – off the back of Microsoft’s – it just felt rushed. That somewhat culminated when a presenter’s phone went missing so a live demo couldn’t take place.

While Microsoft CEO Satya Nadella was on-stage at the company’s own event looking relaxed and cracking jokes, Pichai was nowhere to be seen at Google’s counterpart.

Googlers took to the internal forum ‘Memegen’ to criticise Pichai’s leadership. One wrote, “Dear Sundar, the Bard launch and the layoffs were rushed, botched, and myopic” and called on Pichai to “please return to taking a long-term outlook.”

A promo video for Bard showed the chatbot giving a wrong answer:

Such a blunder in a pre-recorded clip, where it’s obvious the chatbot’s answers will be heavily scrutinised, really highlights why Googlers are so concerned about the firm’s current strategy.

Investors also gave their verdict on the proceedings. Following Google’s event, the company’s shares plunged almost 10 percent—shedding $120 billion off the company’s value. As of writing, the company’s shares have declined a further four percent.

“Rushing Bard to market in a panic validated the market’s fear about us,” another Googler wrote on Memegen.

Some Googlers were allegedly unaware of the event taking place at all. The majority appear to wish they could erase the event from everyone’s memory and give Bard the launch it really deserves.

(Image Credit: Maurizio Pesce under CC BY 2.0 license)

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