Japanese companies Rapidus and Denso are set to collaborate on creating standardised design methods for advanced chips, which will be used in sectors such as AI and self-driving vehicles. The collaboration marks a significant step for Japan as it leads efforts to develop cutting-edge chip technology.
This is the first time Japanese firms have taken the lead in standardising chip design methods. The initiative is aimed at boosting Japan’s competitiveness in the global chip market, where competition is fierce and innovation is key.
Rapidus and Denso will encourage other companies to join in sharing their chip designs. The shared methods are expected to reduce development time and production costs, fostering a more efficient approach to chip manufacturing.
By creating common design practices, the companies hope to speed up the development of advanced chips, making them more affordable to produce and further solidifying Japan’s position in the tech industry.
Visitors to Cambridge University’s Museum of Zoology will soon be able to have conversations with animals on display using AI. The museum is offering two-way chats with 13 selected specimens, including a dodo, a red panda, and a narwhal skeleton, as part of a month-long experiment starting Tuesday.
The aim of this project is to encourage public engagement with the natural world and provide insights into visitors’ curiosity about the exhibits. Visitors can start a conversation by scanning a QR code near each display, with the animals responding based on their species’ traits and scientific data.
Nature Perspectives, the company behind the technology, has designed the AI responses to reflect the unique perspective of each specimen. The goal is to foster a deeper connection between visitors and nature, with the potential to shift public attitudes toward biodiversity loss.
To ensure the accuracy of the responses, the AI has been fine-tuned using a curated set of data provided by experts. This helps maintain the scientific integrity of the conversations while enhancing the overall visitor experience.
Google has signed the first-ever corporate agreement to source electricity from small modular reactors (SMRs) to power its AI operations. Partnering with Kairos Power, the tech giant plans to bring its first SMR online by 2030, with further installations expected by 2035. The innovative approach aims to ensure a reliable, around-the-clock supply of clean energy, addressing the growing energy demands triggered by the expansion of AI technology.
The agreement outlines Google’s commitment to purchasing 500 megawatts of power from six to seven SMRs, though details regarding the plants’ financial terms and locations remain undisclosed. The power output from these SMRs is significantly smaller than traditional nuclear reactors, but Google’s strategic investment signals a push toward long-term sustainability.
The tech industry’s focus on nuclear energy has gained momentum this year, with companies like Amazon and Microsoft entering similar agreements. According to Goldman Sachs, the demand for data centres in the US is expected to triple between 2023 and 2030. The surge in energy consumption has prompted technology companies to explore alternative energy sources, including nuclear, wind, and solar, to meet future needs.
Kairos Power must navigate regulatory hurdles, including securing permits from the US Nuclear Regulatory Commission (NRC) and local agencies, which could take several years. However, the company achieved a key milestone last year by obtaining a construction permit to build a demonstration reactor in Tennessee, signalling progress toward deploying SMRs.
Despite the enthusiasm for SMRs, critics point to potential challenges, including high costs and the production of long-lasting nuclear waste. However, Google’s decision to commit to an order book framework with Kairos rather than purchasing individual reactors represents a strategic investment to accelerate the development of SMRs while ensuring cost-effectiveness and timely project delivery.
In a lengthy blog post, Anthropic CEO Dario Amodei presented an optimistic vision for the future of AI, asserting that powerful AI could emerge as soon as 2026. He envisions AI that surpasses human intelligence in key fields, capable of performing complex tasks such as solving mathematical theorems and conducting sophisticated experiments. Amodei believes this advanced technology could lead to groundbreaking advancements in healthcare, potentially curing diseases and doubling human lifespans within the next few decades.
Critics are sceptical about Anthropic CEO Dario Amodei’s ambitious claims regarding the future of AI, pointing out current limitations such as the technology’s inability to think independently and the challenges in applying AI solutions in real-world healthcare settings. While Amodei envisions AI tackling global issues like hunger and climate change and boosting economies in developing countries, he concedes that achieving these goals will necessitate substantial global cooperation and philanthropic efforts.
Despite acknowledging the potential risks and biases associated with AI, Dario Amodei does not present concrete solutions for the economic disruptions that may occur as AI replaces human jobs. He suggests that society will need to rethink its economic structure in an AI-dominated future but offers minimal guidance on navigating these changes. While he frames AI as a transformative force for good, sceptics remain cautious about the significant challenges and ethical dilemmas it presents.
Tesla CEO Elon Musk has unveiled a robotaxi called ‘Cybercab’, aiming to shift the focus from affordable electric cars to robotic vehicles. Set to cost under $30,000, the vehicle features gull-wing doors, no steering wheel or pedals, and is expected to enter mass production by 2026. Musk also introduced a robovan designed to carry up to 20 passengers.
BREAKING: Here is the first look at Tesla’s Cybercab.
Despite Musk’s bold vision for autonomous driving, experts raised concerns about safety, regulation, and the practicality of his timeline. Musk acknowledged previous delays but reaffirmed his belief that self-driving technology would drastically improve road safety, predicting a tenfold improvement over human drivers. However, little detail was provided on how Tesla plans to outpace its competitors.
Tesla’s new approach favours AI and camera-based technology, rather than the more common lidar, posing challenges both technically and in terms of regulation. Musk also teased advancements in Tesla’s humanoid robot ‘Optimus’, which is projected to cost between $20,000 and $30,000 and could perform household tasks in the future.
The event marked a pivotal moment in Tesla’s shift towards autonomous transportation. However, concerns linger about Musk’s ability to deliver on these promises, especially as Tesla faces increased competition in the robotaxi market and risks missing its delivery targets for the year.
Suki, a healthcare startup is developing AI-powered voice assistants, has raised $70 million in a Series D funding round led by London-based Hedosophia, with participation from Venrock and March Capital. The latest funding brings Suki’s total to $165 million and reportedly values the company at around $500 million. The Redwood City-based startup aims to reduce the administrative burden on healthcare providers with AI tools that streamline tasks like clinical documentation.
Founded in 2017 by former Google and Flipkart executive Punit Soni, Suki has seen growing demand for its products, particularly its Suki Assistant and Suki Platform, as more healthcare systems adopt generative AI technology. The startup now partners with over 300 health systems, including St. Mary’s Healthcare in New York, and integrates with major Electronic Health Record (EHR) systems such as Epic and Oracle’s Cerner.
Suki plans to use the new funding to further develop its AI assistant, adding new features and tools to manage multiple AI models. Competing in the same space as Microsoft’s Nuance and other startups like Abridge, Suki continues to expand its footprint in the AI healthcare market.
TikTok, owned by ByteDance, is cutting hundreds of jobs globally as it pivots towards greater use of AI in content moderation. Among the hardest hit is Malaysia, where fewer than 500 employees were affected, mostly involved in moderation roles. The layoffs come as TikTok seeks to improve the efficiency of its moderation system, relying more heavily on automated detection technologies.
The firm’s spokesperson explained that the move is part of a broader plan to optimise its global content moderation model, aiming for more streamlined operations. TikTok has announced plans to invest $2 billion in global trust and safety measures, with 80% of harmful content already being removed by AI.
The layoffs in Malaysia follow increased regulatory pressure on technology companies operating in the region. Malaysia’s government recently urged social media platforms, including TikTok, to enhance their monitoring systems and apply for operating licences to combat rising cybercrime.
ByteDance, which employs over 110,000 people worldwide, is expected to continue restructuring next month as it consolidates some of its regional operations. These changes highlight the company’s ongoing shift towards automation in its content management strategy.
Advanced Micro Devices (AMD) is set to begin mass production of its latest AI chip, the MI325X, by the end of 2024. This move aims to boost AMD’s competitive position in a market largely dominated by Nvidia. The MI325X will be available in early 2025, designed to enhance AI processing speeds with new memory technology. AMD also plans to release a next-generation MI350 series in 2025 with an improved architecture and more memory for even greater performance.
Despite these announcements, AMD’s shares fell nearly 5%, as analysts were expecting new major cloud-computing clients to be revealed. AMD continues to face stiff competition from Nvidia, whose shares rose while Intel’s dipped amid the AI race. In addition to the new AI chips, AMD introduced server and PC processors based on its Zen 5 architecture, boasting faster speeds and optimised AI capabilities.
AMD’s CEO Lisa Su noted that the company would continue using Taiwan’s TSMC for manufacturing, and while no new clients were announced, demand for AI chips remains high. With an increased forecast for AI chip revenue, AMD is gearing up to meet surging market demand driven by generative AI.
Numeric, an AI-driven accounting software company co-founded by Parker Gilbert in 2020, is gaining traction for automating the tedious and error-prone process of month-end and quarter-end financial closings. Frustrated with manual accounting work at a startup, Gilbert developed the software to streamline and accelerate the process by using AI to analyse and reconcile data from various accounting systems. Companies like Brex, OpenAI, and Plaid now rely on Numeric for their accounting needs.
In the past year, Numeric’s revenue has grown fourfold, reaching single-digit millions. This growth has attracted significant investor attention, leading to a $28 million Series A funding round led by Menlo Ventures, just five months after raising $10 million in seed funding. The round also saw participation from new investors like IVP and Socii, alongside previous backers such as Founders Fund and Long Journey.
Numeric’s software uses AI to perform flux analysis, identifying changes in financial line items and explaining discrepancies, which saves accountants time and improves accuracy. Although AI currently supports analysis and commentary rather than final calculations, Gilbert expects future versions of the software to expand these capabilities. Menlo Ventures’ Croom Beatty, who led the Series A round, highlighted Numeric’s ability to address complex accounting workflows, setting it apart in a market dominated by established players like BlackLine and FloQast.
The US government has launched the National Spectrum Research and Development Plan, aiming to boost America’s leadership in wireless spectrum innovation. Developed by the Wireless Spectrum R&D Interagency Working Group, the plan was initiated under the White House Office of Science and Technology Policy, with significant contributions from the US National Science Foundation (NSF). The plan outlines strategies to address the rising demand for wireless spectrum, which is critical for national security, economic growth, and technological advancement.
The plan builds on President Joe Biden’s call for a coordinated national strategy to modernise spectrum policy. Key research areas include agile antennas, spectrum sharing, and interference resilience, with contributions from various federal agencies such as the Department of Defense, the Department of Energy, and the Federal Communications Commission. The NSF’s involvement highlights the plan’s focus on fostering interdisciplinary research and cross-sector innovation.
By providing a roadmap for future spectrum technologies, the National Spectrum R&D Plan opens new commercialization opportunities and encourages international cooperation, ensuring the US remains competitive in the global spectrum landscape.
