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AlphaEvolve by DeepMind automates code optimisation and discovers new algorithms

Google’s DeepMind has introduced AlphaEvolve, a new AI-powered coding agent designed to autonomously discover and optimise computer algorithms.

Built on large language models and evolutionary techniques, AlphaEvolve aims to assist experts across mathematics, engineering, and computer science by improving existing solutions and generating new ones.

Unlike natural language-based models, AlphaEvolve uses automated evaluators and iterative evolution strategies—like mutation and crossover—to refine algorithmic solutions.

DeepMind reports success across several domains, including matrix multiplication, data centre scheduling, chip design, and AI model training.

In one case, AlphaEvolve developed a new method for multiplying 4×4 complex matrices using just 48 scalar multiplications, surpassing a longstanding result from 1969. It also improved job scheduling in Google data centres, recovering an average of 0.7% of global compute resources.

In mathematical tests, AlphaEvolve rediscovered known solutions 75% of the time and improved them in 20% of cases. While experts have praised its potential, researchers also stress the importance of secure deployment and responsible use.

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du and Microsoft launch $544M AI data centre in UAE

Emirates Integrated Telecommunications Company PJSC (du) has partnered with Microsoft to build a 2 billion dirham (US$544.5 million) hyperscale data centre in the UAE, unveiled during Dubai AI Week.

Microsoft will be the facility’s primary tenant, and the project will be delivered in phases. This marks du’s sixth data centre, reinforcing the UAE’s growing status as a regional AI and data infrastructure hub.

The partnership aligns with the UAE’s National Strategy for AI 2031, which aims to generate US$96 billion in economic value by 2030.

Hyperscale data centres like this one are expected to form the backbone of the country’s AI ecosystem, which is projected to reach a value of US$46.33 billion by the same year.

The GCC data centre market is booming, with expected growth from US$3.48 billion in 2024 to US$9.49 billion by 2030. du’s move comes amid a regional race between cloud giants like Google, AWS, and Oracle, as well as local providers including Khazna, Equinix, and Gulf Data Hub.

Sustainability is also a growing focus, with new builds like Khazna’s Ajman facility incorporating energy-efficient cooling for high-performance AI workloads.

As AI-driven transformation accelerates across logistics, finance, and smart cities, the UAE is using these strategic partnerships and infrastructure investments to move from a resource-based economy to a data-driven one.

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Google and Nvidia dominate AI patents

Google has overtaken IBM to lead in generative AI patent filings, according to new data from IFI Claims covering February 2024 to April 2025.

The tech giant has also emerged as a frontrunner in agentic AI patents, sharing the spotlight with Nvidia in both US and international rankings.

Instead of maintaining previous leads, IBM and Microsoft now trail Google and Nvidia, with Intel and several Chinese universities also securing top global positions in agentic AI. This suggests a growing international race to shape the future of autonomous AI systems.

In generative AI, Google maintains the top spot globally, while Chinese firms and institutions dominate six of the ten leading positions. Microsoft, Nvidia, and IBM also rank highly, with the US seeing a 56% surge in generative AI patent applications over the past year.

Within the US, top filers include Capital One, Samsung, Adobe, and Qualcomm.

Meta and OpenAI were notably absent from the top ten. OpenAI has recently increased its patent activity but continues to file defensively instead of focusing on patent volume.

Meta has prioritised open-source contributions rather than pursuing patents. Generative AI now accounts for 17% of all US AI patent activity, with agentic AI making up 7%.

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Trump seals $200 billion UAE AI deal

US President Donald Trump has secured €179 billion ($200 billion) in deals with the United Arab Emirates, capping his Persian Gulf tour with plans for the world’s largest AI campus outside the US.

Located in Abu Dhabi and spanning 10 square miles, the facility will be built by UAE-based firm G42 in partnership with American companies, aimed at boosting regional computing capacity while supporting the Global South.

Instead of focusing solely on energy, Trump’s trip saw investments broaden to include AI, aviation, and industrial sectors. In total, his visit to the Gulf states yielded €1.3 trillion ($1.4 trillion) in investment pledges, including major agreements with Saudi Arabia and Qatar.

Gulf leaders are using AI as a vehicle to diversify their economies, while Trump is turning foreign capital into support for US manufacturing and tech exports.

The UAE deal includes plans to import up to 500,000 Nvidia H100 AI chips annually through 2027, with 20% allocated to G42. US officials, however, continue to express concern over potential Chinese access to advanced American technology.

The US Department of Commerce insists that strict safeguards are in place to prevent any misuse or diversion of AI hardware.

Other agreements include a $14.5 billion aircraft purchase by Etihad Airways from Boeing and GE Aerospace, a $60 billion energy partnership with ADNOC, and aluminium and gallium production deals with Emirates Global Aluminum.

Trump’s push to expand American business influence in the Gulf appears to be paying off, instead of letting China or Europe dominate future AI and industrial markets.

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Meta’s Behemoth AI model faces setback

Meta Platforms has postponed the release of its flagship AI model, known as ‘Behemoth,’ due to internal concerns about its performance, according to a report by the Wall Street Journal.

Instead of launching as planned, engineers are struggling to deliver improvements that would meaningfully advance the model beyond earlier versions.

Behemoth was originally scheduled for release in April to coincide with Meta’s first AI developer conference but was quietly delayed to June. The latest update suggests the launch has now been pushed to autumn or later, as internal doubts grow over whether it is ready for public deployment.

In April, Meta previewed Behemoth under the Llama 4 line, calling it ‘one of the smartest LLMs in the world’ and positioning it as a teaching model for future AI systems. Instead of Behemoth, Meta released Llama 4 Scout and Llama 4 Maverick as the latest iterations in its AI portfolio.

The delay comes amid intense competition in the generative AI space, where rivals like Google, OpenAI, and Anthropic continue advancing their models. Meta appears to be opting for caution instead of rushing an underwhelming product to market.

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DeepMind unveils AlphaEvolve for scientific breakthroughs

Google DeepMind has unveiled AlphaEvolve, a new AI system designed to help solve complex scientific and mathematical problems by improving how algorithms are developed.

Rather than acting like a standard chatbot, AlphaEvolve blends large language models from the Gemini family with an evolutionary approach, enabling it to generate, assess, and refine multiple solutions at once.

Instead of relying on a single output, AlphaEvolve allows researchers to submit a problem and potential directions. The system then uses both Gemini Flash and Gemini Pro to create various solutions, which are automatically evaluated.

The best results are selected and enhanced through an iterative process, improving accuracy and reducing hallucinations—a common issue with AI-generated content.

Unlike earlier DeepMind tools such as AlphaFold, which focused on narrow domains, AlphaEvolve is a general-purpose AI for coding and algorithmic tasks.

It has already shown its value by optimising Google’s own Borg data centre management system, delivering a 0.7% efficiency gain—significant given Google’s global scale.

The AI also devised a new method for multiplying complex matrices, outperforming a decades-old technique and even beating DeepMind’s specialised AlphaTensor model.

AlphaEvolve has also contributed to improvements in Google’s hardware design by optimising Verilog code for upcoming Tensor chips.

Though not publicly available yet due to its complexity, AlphaEvolve’s evaluation-based framework could eventually be adapted for smaller AI tools used by researchers elsewhere.

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Amazon launches end-to-end AI audiobook production for publishers

Amazon has announced the expansion of AI-ge n erated audiobook narration through its Audible platform, offering publishers the option to convert books into audio using synthetic voices.

The company’s new tools include more than 100 AI-generated voices across English, Spanish, French, and Italian, with variations in accents and dialects. Publishers will be able to choose between two production workflows: a fully managed Audible-led process or a self-service option using the same underlying technology.

According to Amazon, the initiative aims to scale audiobook production and increase accessibility. Audible CEO Bob Carrigan said the company’s long-term goal is to support ‘every book in every language’ through its end-to-end AI production system.

Later in 2024, Amazon will begin beta testing AI-powered translation services for audiobooks.

The services will include text-to-text translation of manuscripts—with the option of either AI or professional narration—and speech-to-speech translation designed to preserve the original narrator’s voice and tone across languages.

Human linguists will be available to review translations for accuracy and cultural context. Amazon did not indicate whether the new AI tools would replace human narrators but positioned the offering as an additional option for publishers.

The expansion comes as genera t ive AI continues to reshape content production workflows across the publishing and media industries.

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Apple partners with BCI developers to expand accessibility

Apple has announced a new set of accessibility features arriving later this year, including a breakthrough initiative that allows users to control their devices using brain signals. The company also plans to streamline its Personal Voice tool and expand accessibility support across its platforms.

In partnership with Brain Computer Interface (BCI) developers like Synchron, Apple is working to enable users to navigate iPhone, iPad, Mac, and Vision Pro using neural input.

Synchron’s device, called the Stentrode, is a stent-like implant placed in a vein near the brain’s motor cortex via a minimally invasive procedure. It reads brain signals and translates them into commands for digital interfaces.

The Wall Street Journal reports that Apple is building system-level support for BCIs in iOS 19 and visionOS 3, including a new protocol compatible with Switch Control.

This will allow users to operate Apple devices without physical interaction, an innovation aimed at supporting individuals with conditions such as amyotrophic lateral sclerosis (ALS).

One early tester of the technology, Mark Jackson, who has ALS, described using his Stentrode in conjunction with Apple’s Vision Pro headset to virtually explore environments like the Swiss Alps.

While Jackson noted limitations in cursor control and speed, the collaboration marks a significant step forward in assistive technology.

In addition to brain control support, iOS 19 will enhance Apple’s Personal Voice feature, originally introduced in iOS 17. This feature enables users at risk of losing their speech to create a personalised synthetic voice.

Previously, the tool required users to record 150 phrases and process them overnight. In iOS 19, the process has been reduced to just 10 phrases, with the model processed in under a minute. Apple says the updated output will sound smoother and more natural.

Other upcoming accessibility features include a Magnifier app for Mac and App Store Nutrition Labels to help users assess the accessibility of third-party apps.

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Amazon to invest in Saudi AI Zone

Amazon has announced a new partnership with Humain, an AI company launched by Saudi Arabia’s Crown Prince Mohammed bin Salman, to invest over $5 billion in creating an ‘AI Zone’ in the kingdom.

The project will feature Amazon Web Services (AWS) infrastructure, including servers, networks, and training programmes, while Humain will develop AI tools using AWS and support Saudi startups with access to resources.

A move like this adds Amazon to a growing list of tech firms—such as Nvidia and AMD—that are working with Humain, which is backed by Saudi Arabia’s Public Investment Fund. American companies like Google and Salesforce have also recently turned to the PIF for funding and AI collaborations.

Under a new initiative supported by former US President Donald Trump, US tech firms can now pursue deals with Saudi-based partners more freely.

Instead of relying on foreign data centres, Saudi Arabia has required AI providers to store data locally, prompting companies like Google, Oracle, and now Amazon to expand operations within the region.

Amazon has already committed $5.3 billion to build an AWS region in Saudi Arabia by 2026, and says the AI Zone partnership is a separate, additional investment.

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TikTok unveils AI video feature

TikTok has launched ‘AI Alive,’ its first image-to-video feature that allows users to transform static photos into animated short videos within TikTok Stories.

Accessible only through the Story Camera, the tool applies AI-driven movement and effects—like shifting skies, drifting clouds, or expressive animations—to bring photos to life.

Unlike text-to-image tools found on Instagram and Snapchat, TikTok’s latest feature takes visual storytelling further by enabling full video generation from single images. Although Snapchat plans to introduce a similar function, TikTok has moved ahead with this innovation.

All AI Alive videos will carry an AI-generated label and include C2PA metadata to ensure transparency, even when shared beyond the platform.

TikTok emphasises safety, noting that every AI Alive video undergoes several moderation checks before it appears to creators.

Uploaded photos, prompts, and generated videos are reviewed to prevent rule-breaking content. Users can report violations, and final safety reviews are conducted before public sharing.

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