Results for: Generative AI

Apple has released OpenELM, a set of four open-source language models aimed at running AI tasks efficiently on Apple devices. OpenELM stands for ‘Open-source Efficient Language Models’ and boasts smaller sizes than most lightweight AI models, enabling smooth operation on devices like phones and laptops. This release marks Apple’s continued focus on developing AI capabilities to run locally on Apple devices, aligning with CEO Tim Cook’s earlier hints about the company’s ambitions in generative AI.

In the realm of software development, it’s an accepted truth that code builders should be separate from testers. Not only do many developers dislike testing, but it also follows a fundamental auditing principle that those performing the work should not verify it. As a result, code testing has become a thriving niche for generative AI startups. Among these emerging players is Nova AI, a year-old company that has raised $1 million in pre-seed funding. Nova AI aims to outpace its competitors by breaking away from the typical Silicon Valley startup model. Instead of targeting small ventures, Nova AI is directly approaching mid-size and large enterprises with complex codebases and urgent testing needs. Their clients include venture-backed startups in e-commerce, fintech, and consumer products that rely heavily on user experience and cannot afford downtime. Nova AI’s technology analyzes its customers’ code to automatically generate tests using generative AI, particularly suited for continuous integration and continuous delivery/deployment environments where engineers frequently make incremental code changes.

Amid growing concerns over copyright infringement in generative AI, Apple has reportedly taken a unique approach to training its software by licensing copyrighted works. This strategy aims to avoid potential lawsuits and ensure that its AI is trained on legally acquired data.

Microsoft is set to release its quarterly earnings report, revealing its progress in the cloud computing industry. The company has invested heavily in generative AI services, attracting businesses seeking to enhance their operations. These services, including Microsoft’s Copilot, have set the company apart in the market. Microsoft’s AI strategy is expected to contribute to its Azure cloud computing service’s growth. Analysts predict a surge in Azure’s performance, while Amazon’s revenue may show a decline. However, it is anticipated that the full impact of AI on cloud providers will manifest in the coming years.

The Competition and Markets Authority (CMA) in the United Kingdom is seeking public input on partnerships between Microsoft and Amazon with smaller generative AI model developers. These partnerships include Microsoft’s collaboration with French AI firm Mistral and Amazon’s partnership with U.S. startup Inflection, as well as Microsoft’s hiring of former Inflection AI employees. The CMA is reviewing whether these arrangements constitute mergers and will launch a formal Phase 1 review after gathering information.

As interest in generative artificial intelligence (AI) continues to surge, many companies are aligning their businesses with this rapidly evolving field. Three stocks that stand out as potential beneficiaries include Alphabet (GOOG, GOOGL), Meta Platforms (META), and Shopify (SHOP). Each of these companies has unique catalysts and could potentially surpass the average market growth rate over the next decade. Alphabet boasts a robust and diversified portfolio with innovative AI products, Meta Platforms is leveraging its AI capabilities to enhance its social media platforms, and Shopify is partnering with leading brands to optimize their e-commerce operations using AI-driven tools.

In a recent report, CFRA has upgraded Infosys’ stock from Hold to Buy, citing increased confidence in the company’s future performance. The valuation target has been raised to 25 times FY 25 EPS, exceeding the 5-year mean P/E ratio. Despite trimming FY 25 EPS, CFRA has initiated FY 26 EPS at US$0.88. Infosys’ FY 24 results met expectations, with EPS growth of 6% and revenue growth of 2%. The achievement of US$17.7 billion in large deal wins in FY 24 is also noteworthy, as is the company’s adoption of generative AI, which has the potential to enhance revenue and improve margins. Analysts remain bullish on Infosys, estimating an average upside of INR 1,595. Investors can utilize InvestingPro’s fair value feature and financial health score to assess the stock’s potential.

The BBC, a leading public broadcaster, is harnessing the power of generative AI to enhance its services and revolutionize its workflows. From automating audio-to-text translation for live text pages to exploring AI-generated headlines, translation tools, and internal chatbots, the BBC is embracing AI’s potential. With a focus on transparency, human creativity, and social responsibility, the BBC aims to set best practices for AI use in the broadcasting industry.

Benchmark analyst Cody Acree has initiated coverage on Qualcomm Inc with a Buy rating and a price target of $200. Acree believes that Qualcomm is well-positioned to capitalize on the industry’s trends of shifting AI computational inferencing workloads to the very edges of the network, where the company is leveraging its strengths in wireless connectivity and computing to lead the market in the ramp of generative AI smartphones and AI-PCs.

A recent study by Stanford University’s Human-Centered Artificial Intelligence institute has revealed top AI trends for businesses, highlighting the benefits and challenges posed by the technology. While AI enhances productivity and work quality, the development and use of advanced AI models raise concerns regarding cost and accessibility. Furthermore, the study emphasizes the need for regulations to guide the responsible development and deployment of AI, as well as the importance of addressing employees’ concerns about job security and the ethical implications of AI.