STMicroelectronics, a major European semiconductor firm, has introduced the STM32N6 series, its first microcontrollers designed for edge AI and machine learning. The new release aims to enhance applications in consumer and industrial electronics.
The STM32N6 series supports local image and audio processing, eliminating the need for larger computers or data centres. Devices such as cars, factories, and wearables are expected to benefit from faster and more efficient data handling.
Edge AI operates on principles similar to generative AI, but with reduced computational demands tailored to specific local tasks. By processing data on-site, the technology reduces electricity usage and avoids the delays associated with sending data to remote centres.
STMicroelectronics’ innovation underscores the growing importance of energy-efficient AI solutions in modern electronics. The development reflects a shift towards integrating AI more seamlessly into everyday devices.
HarperCollins CEO Brian Murray highlighted the evolving audiobook market and AI’s potential during the UBS Global Media and Communications Conference. He praised Spotify‘s innovative approach to audiobooks, offering 15 free listening hours to Premium users, which he said attracted casual listeners and boosted HarperCollins’ revenue. Spotify’s wholesale distribution model also provides clear royalty structures for authors.
Murray acknowledged AI’s dual role as a threat and opportunity. Generative AI could flood the market with lower-quality content, but high-quality works may continue to thrive. He noted AI’s potential for streamlining marketing, translations, and audiobook production for niche markets, while also envisioning its use in adapting books for film or television.
Spotify, aiming to grow its global audiobook market, is testing family plan access. HarperCollins is closely watching these developments as both companies explore expanding their audiobook offerings and incorporating AI-driven solutions.
The Australian Federal Police (AFP) is increasingly turning to AI to handle the vast amounts of data it encounters during investigations. With investigations involving up to 40 terabytes of data on average, AI has become essential in sifting through information from sources like seized phones, child exploitation referrals, and cyber incidents. Benjamin Lamont, AFP’s manager for technology strategy, emphasised the need for AI, given the overwhelming scale of data, stating that AI is crucial to help manage cases, including reviewing massive amounts of video footage and emails.
The AFP is also working on custom AI solutions, including tools for structuring large datasets and identifying potential criminal activity from old mobile phones. One such dataset is a staggering 10 petabytes, while individual phones can hold up to 1 terabyte of data. Lamont pointed out that AI plays a crucial role in making these files easier for officers to process, which would otherwise be an impossible task for human investigators alone. The AFP is also developing AI systems to detect deepfake images and protect officers from graphic content by summarising or modifying such material before it’s viewed.
While the AFP has faced criticism over its use of AI, particularly for using Clearview AI for facial recognition, Lamont acknowledged the need for continuous ethical oversight. The AFP has implemented a responsible technology committee to ensure AI use remains ethical, emphasising the importance of transparency and human oversight in AI-driven decisions.
Dianne Covey, a 69-year-old retired hospital worker from Farncombe, credits an AI tool with helping to save her life after it helped diagnose her lung cancer in a few hours. She visited her GP with a persistent cough, and her chest X-ray was analysed by Annalise.ai, a technology that flags abnormalities for urgent review. The swift diagnosis caught her cancer at Stage 1, offering a positive prognosis.
‘I never really understood artificial intelligence, but now I think it might have saved my life,’ said Ms. Covey. ‘The early diagnosis has given me a second chance at life.’ She is the first patient at the Royal Surrey NHS Foundation Trust to benefit from the AI system, which prioritises X-rays needing immediate attention and enhances accuracy by identifying tiny anomalies often missed in manual reviews.
The Annalise.ai tool is currently being used across five UK NHS trusts in Surrey, Sussex, and Frimley, enabling radiographers to streamline cancer diagnoses. By accelerating and refining the diagnostic process, this technology has the potential to revolutionise early detection, giving countless patients a fighting chance against life-threatening diseases.
Google has announced a $20 billion partnership with Intersect Power and TPG Rise Climate to build renewable energy projects, battery storage, and grid upgrades for its data centres. The initiative includes wind, solar, and battery storage facilities, each paired with 1-gigawatt-scale data centres to meet growing energy demands for AI technology. The first phase is expected to be operational by 2026.
The plan aims to address grid bottlenecks, with Google funding required upgrades to accelerate connectivity. This strategy highlights renewables’ speed over nuclear options, which have longer timelines for implementation.
Industry experts predict a shortfall in energy for AI-focused data centres by 2027, underscoring the urgency for alternative power sources. While Google also invests in nuclear energy projects, renewables are expected to dominate in the near term.
LambdaTest, a leading cloud-based software testing platform, has secured $38M in Series D funding to expand its technological capabilities and enhance its AI-driven offerings. The funding round, led by Avataar Ventures with participation from Qualcomm Ventures, brings the company’s total funding to $108M. LambdaTest plans to use this investment to strengthen its market presence and advance its automation tools.
The platform enables companies to test software on over 5,000 browser and operating system combinations without the need for costly, complex testing suites. With AI increasingly generating code, LambdaTest is addressing the demand for smarter testing solutions through innovations like KaneAI, an AI-powered tool that reduces manual effort in creating and managing test scripts by up to 70%.
LambdaTest also boasts HyperExecute, a high-speed testing solution that accelerates testing cycles and improves error detection efficiency. Additional features like flaky test identification and auto error categorisation enhance productivity for its 15,000 customers, including major enterprises across diverse industries.
As AI integration grows in software development, continuous testing is essential to maintain fast release cycles and reliable systems. With this new funding, LambdaTest aims to solidify its position as a transformative force in quality assurance, competing against established players like BrowserStack and SauceLabs.
Stainless, a New York-based startup, is transforming software development with its AI-driven platform that automatically generates software development kits (SDKs) from APIs. Founded by former Stripe engineer Alex Rattray, Stainless addresses the inefficiency developers face in creating SDKs manually, providing support for multiple programming languages like Python, Kotlin, and TypeScript. Its platform also ensures APIs remain updated, simplifying versioning and changelogs.
Attracting major clients such as OpenAI and Meta, Stainless claims its SDKs are downloaded millions of times weekly. Backed by $35 million in funding, including a recent $25 million Series A led by a16z, the company aims to expand its 20-person team and solidify its position in the API development space. Most of its revenue comes from enterprise customers paying for tailored services, driving its annual recurring revenue to $1 million and nearing profitability.
Rattray envisions Stainless as more than an SDK generator. The company plans to build a comprehensive developer platform addressing every aspect of API interaction, setting it apart from competitors like OpenAPI Generator and LibLab.
Yelp has launched a series of updates, including AI-powered review insights, a personalised home feed, and an upgraded inbox for business owners. These changes aim to enhance user experience and streamline business interactions.
The new AI review insights categorise feedback into food quality, service, and ambiance, each scored from 1 to 100 with sentiment ratings. Users can access relevant reviews directly through the app. Initially available for restaurant, food, and nightlife listings, the feature is exclusive to iOS users.
Business owners also benefit from a redesigned inbox to manage customer interactions more efficiently, reflecting Yelp‘s broader effort to support businesses and users alike.
Alphabet, the parent company of Google, is doubling down on AI to reshape its core search business, which generates the majority of its $300 billion annual revenue. At the Reuters NEXT conference in New York, Alphabet President Ruth Porat described AI as a ‘generational opportunity’ for the company, with tools like AI-generated query overviews aiming to make search more intuitive. However, challenges such as AI ‘hallucinations,’ where incorrect information is generated, remain a key hurdle.
Beyond search, Alphabet is channeling its AI expertise into healthcare advancements. Porat highlighted innovations like AlphaFold, which predicts protein structures to aid drug discovery, and AI tools that could prevent blindness or enhance the doctor-patient relationship by reducing screen time for medical professionals. These efforts reflect the company’s broader commitment to applying technology for societal benefits.
Alphabet’s financial investments in AI are substantial, with $50 billion projected in capital expenditures for 2024, including data centres and chips. Porat emphasised the need for these investments to yield tangible returns while shaping the future of both technology and human connection.
OpenAI Chief Financial Officer Sarah Friar sees President-elect Donald Trump as potentially becoming ‘the president of this AI generation,’ arriving at a pivotal moment in the development of artificial general intelligence (AGI). Speaking at the Reuters NEXT conference in New York, Friar highlighted that Trump will be in office as critical infrastructure for AGI, such as autonomous systems, begins to take shape. While acknowledging Elon Musk’s public opposition to OpenAI’s corporate restructuring, Friar expressed confidence that Musk, a close advisor to Trump, would prioritise national interests in his competitive efforts.
Friar also discussed OpenAI’s recent advancements, including the release of its video generation tool, Sora, which has seen overwhelming demand. Account creation has been paused, but she emphasised the company’s careful approach to ensure safety. She predicted significant progress in AI agent products in the coming year, with more autonomous software expected to assist with everyday tasks. Friar further noted the growing collaboration with Microsoft, OpenAI’s largest investor, while also advocating for diversification within the industry.
Despite governance controversies and recent executive departures, Friar reported that OpenAI continues to expand rapidly, with ChatGPT’s weekly active users growing from 200 million to 300 million since August. This surge, she said, is driven by new reasoning models like o1, indicating that the company’s innovation trajectory is accelerating.
