As two of GE’s prominent spin-offs, GE Vernova and GE Healthcare are set to unveil their third-quarter earnings. While both companies are making strides in their respective sectors, GE Vernova appears poised to capitalize on the burgeoning AI-powered future, particularly in the electric power market. This analysis delves into the potential for each company, examining their strategies, financial outlook, and key growth drivers to determine which stock is primed for Q3 success.
Amazon is investing heavily in nuclear energy to meet the growing energy demands of its expanding data centers. The company is partnering with several firms to develop small modular reactors (SMRs), which are seen as a solution for providing clean, reliable energy to power the increasingly sophisticated artificial intelligence infrastructure.
SAP, a leading software giant, exceeded earnings expectations in its latest quarter, fueled by its growing cloud business and strategic integration of artificial intelligence (AI) capabilities. The company is positioning itself as a key player in the AI revolution, alongside industry leaders like NVIDIA and Microsoft. This shift towards AI-powered solutions reflects a broader industry trend, with traditional ERP providers like SAP adapting to meet the increasing demand for AI-driven enterprise software.
IBM has released Granite 3.0, its latest family of open-source AI models designed to meet the growing enterprise demand for AI transparency, safety, and performance. The models, available under the Apache 2.0 license, support over 12 natural and 116 programming languages and are designed for a variety of business tasks. This release comes amidst debate about the true meaning of open-source AI, with IBM emphasizing responsible AI development and contrasting its approach with the practices of other tech giants.
In her book ‘Your Face Belongs to Us,’ journalist Kashmir Hill delves into the emergence of Clearview AI, a facial recognition company that claimed to identify anyone from a single photo. Hill’s investigation reveals the chilling potential of this technology and its implications for privacy in a world increasingly reliant on digital data.
Nvidia has released a new AI model, Llama-3.1-Nemotron-70B-Instruct, that is making waves in the AI community. This smaller model, built on Meta’s Llama 3.1 framework, has surprisingly outperformed larger competitors in benchmark tests. Its efficiency and open-source availability position Nvidia as a major player in AI software, highlighting its shift from hardware to AI development.
A Chinese robotics startup, Robot Era, has unveiled STAR1, a humanoid robot claiming the title of the world’s fastest. Outpacing competitors like Tesla’s Optimus and Boston Dynamics’ Atlas, STAR1 achieves a top speed of 8 mph, showcasing its agility and advanced AI capabilities. Learn about the features that make this robot a frontrunner in the field of humanoid robotics.
Despite US chip sanctions, Chinese AI companies are making significant strides in reducing AI model costs. By focusing on smaller data sets, cheaper talent, and hardware optimization, firms like 01.ai, Alibaba, and ByteDance are offering AI solutions at a fraction of the cost compared to their Western counterparts. This development challenges the dominance of US AI companies and highlights the innovative spirit of Chinese AI development.
A prominent analyst, Mark Gurman, has expressed doubts about the upcoming launch of Apple Intelligence, Apple’s much-anticipated artificial intelligence system. He predicts that consumers may be disappointed or confused when the new AI feature is unveiled next week, saying there could be a sense of underwhelming response from users. Apple Intelligence is a collection of AI-driven features designed to improve user experience across Apple devices, combining generative AI technology with personal data to provide customized assistance. While initially planned for a beta release last month, the feature is now expected to launch before November, with developers and beta testers already granted access to preview versions.
Scientists have developed an AI-powered ‘electronic tongue’ that can determine the safety and freshness of food and drinks. This innovative system, described in the journal Nature, uses a sensor to collect information about chemical ions and an AI neural network to interpret the data, mimicking the human taste perception process. The system can identify if fruit juice has gone bad, distinguish between similar soft drinks or coffee blends, and even detect harmful chemicals in water.
