Google launches AI scam detector for Pixel phones

Google has started rolling out its AI-powered Scam Detection feature for the Pixel Phone app, initially available only in the beta version for US users. First announced during Google I/O 2024, the feature uses onboard AI to help users identify potential scam calls. Currently, the update is accessible to Pixel 6 and newer models, with plans to expand to other Android devices in the future.

Scam Detection analyses the audio from incoming calls directly on the device, issuing alerts if suspicious activity is detected. For example, if a caller claims to be from a bank and pressures the recipient to transfer funds urgently, the app provides visual and audio warnings. The processing occurs locally on the phone, utilising the Pixel 9’s Gemini Nano chip or similar on-device machine learning models on earlier Pixel versions, ensuring no data is sent to the cloud.

This feature is part of Google’s ongoing efforts to tackle digital fraud, as the rise in generative AI has made scam calls more sophisticated. It joins the suite of security tools on the Pixel Phone app, including Call Screen, which uses a bot to screen calls before involving the user. Google’s localised approach aims to keep users’ information secure while enhancing their safety.

Currently, Scam Detection requires manual activation through the app’s settings, as it isn’t enabled by default. Google is seeking feedback from early adopters to refine the feature further before a wider release to other Android devices.

AI steps in to modernise California’s last nuclear plant

California’s sole remaining nuclear power plant, Diablo Canyon, is adopting artificial intelligence to navigate the complex challenges of staying operational. Pacific Gas & Electric (PG&E) has partnered with Atomic Canyon, a local startup, to deploy an AI system called Neutron Enterprise. The tool will help manage the plant’s decades-old infrastructure by analysing and organising millions of historical documents, a task critical for meeting federal licensing requirements to keep the facility running for another 20 years.

Located on the coast between San Francisco and Los Angeles in the US, the Diablo Canyon facility was commissioned in 1985 and once slated for closure. However, in 2022, California reversed course to meet its ambitious carbon-reduction targets. The plant’s vice president, Maureen Zawalick, revealed that the facility stores over 9 million records, many originating from outdated formats like microfiche, making data retrieval and management a daunting task.

Using NVIDIA-powered systems, Atomic Canyon’s software can process these archives in natural language, significantly improving document accessibility and usability. According to the startup’s founder, Trey Lauderdale, the AI will streamline data searches, saving time and resources. Over time, the technology may also optimise maintenance schedules, an effort-intensive process that requires careful coordination of the plant’s aging systems.

AI-powered wall tablet to boost Apple’s smart home role

Apple is preparing to enter the smart home market with a new AI-enabled wall tablet, expected to be launched by March 2025. The device, reportedly code-named J490, will integrate features like AI capabilities, Siri voice controls, and video conferencing through FaceTime, positioning itself as a central hub for home management.

The tablet is designed to compete with Amazon’s Echo Show and Google’s Nest Hub, offering similar functionality with a sleek 6-inch screen, available in silver and black. Its interface will blend elements from the Apple Watch and iPhone’s StandBy mode, optimised for voice interaction. The device will enable control over home appliances, provide access to Apple’s apps, and allow photo slideshows, notes, and calendar displays.

Apple is also developing a high-end version with robotic screen movement, which could be priced up to $1,000. The standard model is expected to align more closely with competitor prices, such as the Echo Show 8 and Google’s Nest Hub Max. The tablet will feature a new operating system, ‘Pebble’, which adjusts its interface based on user proximity, while security options will include camera alerts and intercom functions.

Meanwhile, Apple recently established Apple Operations India to boost research and development efforts in the region. The new subsidiary will focus on expanding the company’s hardware engineering capabilities by acquiring equipment, hiring local talent, and providing hardware analysis support.

AI and coding empower Indonesian students

Indonesian students are now encouraged to explore AI and coding to unlock new talents and prepare for a tech-driven future. Deputy Minister of Creative Economy Irene Umar stated that the option to study these subjects opens opportunities for young people, but she urged schools to make these courses voluntary rather than mandatory, allowing students to choose these areas of study according to their interests.

AI and coding education is part of Vice President Gibran Rakabuming Raka’s vision for a ‘Golden Indonesia’, aiming to create a generation equipped with essential digital skills. The initiative seeks to introduce these courses at both primary and secondary education levels, supporting Indonesia’s global competitiveness in a world increasingly shaped by technology.

The internet, widely accessible across Indonesia, offers new avenues for self-directed learning in AI and coding, according to Umar. She pointed out that many Indonesian game developers have already taught themselves coding through online resources, demonstrating that digital skills can be acquired outside formal educational settings.

Umar highlighted the potential of AI and coding to inspire Indonesia’s youth, noting that with the right digital knowledge, young Indonesians can become innovative leaders. Harnessing this potential could foster new ideas and entrepreneurial success, helping to fulfil Indonesia’s vision of a future led by a skilled, tech-savvy generation.

YouTube expands AI music tools for video creators

YouTube is testing an AI-driven feature allowing select creators to remix songs by describing desired stylistic changes. This builds on its Dream Track toolset, which debuted last year and lets users generate AI-based tracks using artist vocals. The new feature, ‘Restyle a track,’ enables creators to transform a song’s genre or mood, producing 30-second snippets for Shorts while preserving the original’s essence.

The tool uses Google DeepMind’s Lyria model and ensures proper crediting of the original music. YouTube has partnered with Universal Music Group to compensate artists and rights holders, addressing potential concerns from the music industry. Creators participating in the trial can experiment with a limited selection of tracks under this system.

This development follows a growing trend of platforms enabling AI-generated music customisation. YouTube’s approach highlights its commitment to both creative innovation and maintaining industry standards. Competitors like Hook, an app for remixing music, are also exploring similar functionalities for short-form video content.

Japan’s Telecom advances with Nvidia-SoftBank partnership

SoftBank is making strides in Japan’s AI landscape, using Nvidia’s latest Blackwell chip technology to drive advancements in artificial intelligence and telecommunications. The telecom giant plans to construct Japan’s most powerful AI supercomputer, integrating Nvidia’s Blackwell and Grace Blackwell platforms to create a robust system for advanced AI applications.

In a pioneering trial, SoftBank tested an AI-enabled 5G network that utilises Nvidia’s AI Aerial platform, potentially unlocking new revenue streams for telecom providers. By converting telecom base stations into AI-ready infrastructure, SoftBank demonstrated how its AI-RAN technology can optimise both 5G network performance and support for AI services, allowing for the monetisation of unused network capacity.

Through this collaboration, Nvidia and SoftBank foresee telecom operators generating substantial returns, estimating up to $5 in AI revenue for every $1 invested in AI-RAN infrastructure. SoftBank’s energy-efficient AI network is designed for real-time AI inference, supporting applications like autonomous vehicle operations and robotics, and transforming Japan’s telecom industry into a global AI leader.

A future Nvidia-powered AI marketplace aims to broaden access to AI services across various sectors in Japan. By enabling localised, secure, and low-latency AI solutions, SoftBank is set to provide innovative AI support for sectors from healthcare to research, positioning Japan at the forefront of the AI revolution.

AWS chips challenge Nvidia with new academic initiative

Amazon Web Services (AWS) is offering $110 million in free computing power to researchers to promote its custom AI chips. The programme provides credits for the use of AWS’s Trainium chips, which are designed to compete with Nvidia’s widely-used hardware, as well as Advanced Micro Devices and Alphabet’s cloud technology. Researchers from Carnegie Mellon University and the University of California, Berkeley, are already participating, with AWS planning to make 40,000 Trainium chips available.

AWS, the world’s leading cloud provider by sales, is facing intensified competition from Microsoft, especially as the demand for cutting-edge AI hardware grows. The company is taking a novel approach to lure AI developers by offering detailed documentation for Trainium’s instruction set architecture. This will allow researchers to program the chip directly, unlike Nvidia‘s chips, which usually require the use of proprietary Cuda software.

Gadi Hutt, head of business development for AI chips at AWS, said this strategy is aimed at customers with large-scale operations. Even minor programming adjustments could yield significant performance and cost advantages when using tens of thousands of chips. Hutt emphasised that companies investing hundreds of millions in computing infrastructure would welcome opportunities to improve efficiency and reduce expenses.

AI threats to democracy spark concern in new report

A report by the Alan Turing Institute warns that AI has fuelled harmful narratives and spread disinformation during a major year for elections. Conducted by the Institute’s Centre for Emerging Technology and Security (CETaS), the study explores how generative AI tools, including deepfake technology and bot farms, have been used to amplify conspiracy theories and sway public opinion. While no concrete evidence links AI directly to changes in election outcomes, the study points to growing concerns over AI’s influence on voter trust.

Researchers observed AI-driven bot farms that mimicked genuine voters and used fake celebrity endorsements to spread conspiracies during key elections. These tactics, they argue, have eroded trust in democratic institutions and heightened public fear of AI’s potential misuse. Lead author Sam Stockwell noted that while evidence remains limited on AI changing electoral results, the urgent need for transparency and better access to social media data is clear.

The Institute has outlined steps to counteract AI’s potential threats to democracy, suggesting stricter deterrents against disinformation, enhanced detection of deepfake content, improved media guidance, and stronger societal defences against misinformation. These recommendations aim to create a safer information environment as AI technology continues to advance.

In response to AI’s growing presence, major AI companies, including those behind ChatGPT and Meta AI, have tightened security to prevent misuse. However, some startups, like Haiper, still lag behind, with fewer safeguards in place, leading to concerns over potentially harmful AI content reaching the public.

Polish priest brings AI to faith discussions

In Poznan, Poland, a new chapel is combining tradition with cutting-edge technology. Created by priest Radek Rakowski, the modern chapel features an AI-powered system that answers visitors’ questions about Catholicism. Housed in a residential building, the chapel includes a coffee corner and app-based amenities that control lighting and drink orders.

The AI assistant, accessible via a lectern, offers objective and comprehensive responses drawn from the Bible, catechism, and Church documents. Rakowski emphasises that the system helps address sensitive questions without emotional bias or human error. He views it as a tool to make faith discussions more open and accurate.

With its neon-lit, welcoming design and innovative approach, the Polish chapel symbolises a shift toward integrating technology with spirituality. Visitors can now explore their faith in an environment that blends community warmth with futuristic convenience.

Survey reveals distrust of AI in hiring

As AI becomes more integrated into daily life, Americans have expressed mixed feelings about its role in job hiring. A survey conducted by Talker Research between October 21-24 revealed that 43% of respondents felt uneasy with AI conducting job interviews, while 32% were comfortable. Generational differences were also evident, with younger generations, particularly Gen Z, more accepting of AI-led interviews than older generations like Baby Boomers.

Despite the concerns, AI’s role in recruitment continues to grow. Philip Gjørup, co-founder of Nord Comms, believes AI could revolutionise the hiring process by swiftly identifying key attributes in candidates. Similarly, Lars Nyman from CUDO Compute points out that AI is already used to assess resumes and assess initial candidate fit, making AI-led interviews a logical next step.

However, AI faces limitations in capturing the personal touch needed in job interviews. While experts agree that AI can streamline recruitment, they also acknowledge that nuanced interpersonal skills, which are vital in interviews, remain beyond the capabilities of current AI technology.

The rising use of AI in hiring has raised concerns about the dehumanising effects of algorithms making important career decisions. Many worry about a lack of empathy in the process, with some likening it to pitching one’s career story to a ‘vending machine.’ As AI technology develops, it may take more time for people to adapt to its growing presence in the hiring process.