Google has announced the launch of a new educational tool called ‘Learn About AI’ aimed at helping students and teachers understand artificial intelligence (AI) better. The tool, set to be available in 2024, will provide interactive lessons, activities, and resources to demystify AI concepts and foster responsible AI development. Key features include hands-on coding exercises, ethical considerations in AI design, and real-world applications across various domains. The initiative aims to equip the next generation with essential AI literacy skills and promote a deeper understanding of this transformative technology. By making AI education more accessible, Google hopes to inspire young minds and prepare them for the AI-driven future. The tool will be offered free of charge to educational institutions worldwide, aligning with Google’s commitment to democratizing AI knowledge and fostering a diverse and inclusive AI workforce.

The healthcare startup Forward, known for its futuristic ‘CarePod’ clinics, has announced that it will be shutting down its physical locations and laying off staff as it pivots to focus on software. The company, founded in 2016, aimed to reinvent the primary care experience with its high-tech clinics featuring body scanners and AI-powered diagnostics. However, the COVID-19 pandemic and rising costs have forced Forward to reevaluate its business model. The company plans to transition to a software-only model, offering its technology platform to other healthcare providers. This strategic shift will result in the closure of Forward’s physical clinics and the layoff of an undisclosed number of employees. While the decision is a setback for the company’s ambitious vision, Forward believes that its software platform has the potential to drive innovation and improve healthcare delivery on a larger scale.

The article discusses Intel’s struggles in the semiconductor industry and the potential impact on the US economy. Intel, once a leader in chip manufacturing, has fallen behind rivals like TSMC and Samsung in advanced chip production. This has led to delays in rolling out new chips and a loss of market share. The US government’s CHIPS Act aims to revive domestic chip production, but Intel’s troubles raise doubts about its ability to deliver on the promised investments. The company’s struggles could undermine the CHIPS Act’s goals of reducing reliance on foreign chip suppliers and boosting US competitiveness. Analysts warn that if Intel fails to regain its footing, it could have ripple effects on the broader US tech industry and economy, given the importance of semiconductors in various sectors. The article highlights the urgency for Intel to address its manufacturing issues and the potential consequences for the US if it fails to do so.

According to Nvidia CEO Jensen Huang, SoftBank CEO Masayoshi Son is likely to make a massive acquisition in the AI microchip industry by 2024. Huang believes that Son, known for his bold investments, will aim to dominate the AI chip market, which is crucial for powering advanced artificial intelligence systems. The prediction stems from Son’s keen interest in AI and his willingness to invest heavily in transformative technologies. Nvidia, a leading player in AI chips, could potentially be a target for Son’s acquisition ambitions. However, Huang did not explicitly mention Nvidia as a potential target. The AI chip market is rapidly growing, driven by the increasing demand for AI applications across various industries, including autonomous vehicles, robotics, and data centers. A major acquisition by SoftBank could reshape the competitive landscape and accelerate the development of more powerful AI chips.

The article discusses the potential upside for NVIDIA’s stock price, with analysts from Blackwell Rubin comparing the company’s upcoming product launches to Apple’s “iPhone moment” in 2024. Key points include: 1) NVIDIA is expected to release its next-generation “Blackwell” GPU architecture and “Grace” CPU in 2024, which could drive significant growth. 2) Analysts believe these products could be as transformative for NVIDIA as the iPhone was for Apple, enabling new use cases and applications. 3) The firm has a “buy” rating on NVIDIA stock and a price target of $400, implying a potential upside of over 50% from current levels. 4) NVIDIA’s dominance in AI and data center markets, along with its expanding product portfolio, position the company for continued growth and market share gains. 5) However, risks include competition from AMD and Intel, as well as potential regulatory scrutiny.

The article discusses Nvidia’s arguments before the Supreme Court in a case involving the company’s acquisition of Arm Ltd. Nvidia is seeking to overturn a lower court’s decision that blocked the $40 billion deal on antitrust grounds. The company argued that the merger would benefit the industry by allowing Arm to invest more in its chip designs. However, several Supreme Court justices expressed skepticism about Nvidia’s claims, questioning whether the deal would truly benefit consumers or simply increase Nvidia’s market power. Justice Elena Kagan noted that Nvidia’s arguments seemed to rely on “maybes” and “possibilities” rather than concrete evidence. The justices also questioned whether Nvidia’s commitments to keep Arm’s designs available to rivals would be enforceable. The case has significant implications for the tech industry and antitrust enforcement.

The article discusses the return of Greg Brockman, a co-founder of OpenAI, to the artificial intelligence research company. Brockman had previously left OpenAI in 2021 to pursue other interests. His return coincides with Sam Altman, the CEO of OpenAI, hinting at a potential run for the US presidency in 2024. Altman has been vocal about the importance of AI and its potential impact on society. The article suggests that Brockman’s return could be related to Altman’s potential political ambitions and the need for experienced leadership at OpenAI. It also highlights the growing influence of AI companies like OpenAI and the increasing public interest in the technology and its implications.

The article discusses the challenges faced by Saudi Arabia’s ambitious $500 billion project, Neom, a futuristic city powered by artificial intelligence (AI) and renewable energy. The key points are: 1) Neom’s CEO, Nadhmi Al-Nasr, has stepped down, raising concerns about the project’s progress. 2) Saudi Arabia aims to invest $1.3 trillion in AI by 2030, with Neom as a centerpiece. 3) Neom faces criticism over environmental impact, human rights concerns, and feasibility doubts. 4) The project aims to attract top AI talent and companies, but faces competition from established tech hubs. 5) Saudi Arabia’s reliance on oil revenue and the project’s massive cost raise questions about its long-term viability. 6) Neom’s success is crucial for Saudi Arabia’s economic diversification and AI ambitions.

According to a recent survey by Slack, the use of artificial intelligence (AI) among desk workers is expected to increase significantly by 2024. The survey found that 57% of respondents anticipate using AI for administrative tasks, such as scheduling meetings and managing calendars. Additionally, 51% plan to utilize AI for data analysis and reporting, while 48% intend to leverage AI for research and information gathering. The survey also revealed that 46% of desk workers expect to use AI for writing and content creation tasks. Furthermore, 43% anticipate employing AI for project management and task tracking purposes. These findings suggest that AI will play a crucial role in enhancing productivity and efficiency across various office-related tasks in the coming years. As AI technology continues to advance, it is likely that its adoption and integration into the workplace will become more widespread.

According to the article, SoftBank Group Corp. has agreed to be the first customer for Nvidia Corp.’s new AI supercomputer chips, which are expected to be available in 2024. The chips, codenamed “Blackwell,” are designed to power large language models and other advanced AI systems. SoftBank plans to use the chips to train AI models for applications like natural language processing and computer vision. Nvidia CEO Jensen Huang revealed the partnership during a keynote speech at the company’s AI developers conference. He also announced that Nvidia’s “Hopper” AI chips, which are currently available, will be used to build a new AI supercomputer called “DGX GH200” that will be the world’s fastest AI system when it launches in the third quarter of 2023. The article highlights the growing demand for powerful AI hardware as companies race to develop advanced AI capabilities.