| | | | Hello, readers! I am Amit Raja Naik, your friendly AI Human, here with amazing new developments and advancements. Many interesting products were announced recently at |
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| | | | | Designed to run AI tasks seamlessly |
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In a blog post, Apple highlighted that the M4 chip's exceptionally powerful Neural Engine, capable of 38 trillion operations per second, makes it vastly superior for AI tasks and enhances features like Live Captions and Visual Look Up on the iPad Pro. Apple claimed that the iPad Pro with an M4 chip is faster than the neural processing unit of any AI PC today. The team said this is its most powerful Neural Engine — "a breathtaking 60x faster than the first Neural Engine in A11 Bionic." Unsurprisingly, Apple cleverly chose not to compare the latest M4 chip with its predecessors in the M-series (M1, M2, and M3) but rather with the A11 Bionic, given that theimprovements over its predecessors are more likely to be marginal. There’s more. Apple also said the M4 chip's combination of advanced ML accelerators, a high-performance GPU, and higher-bandwidth memory make it exceptionally powerful for AI tasks. In addition to this, the new iPad Pro, equipped with AI features like Live Captions and Visual Look Up, enables users to perform advanced AI tasks swiftly and directly on the device. Beyond Apple’s latest iPad Pro are a slew of companies announcing the launch of AI-powered laptops. These include Acer, Dell’s Alienware, Gigabyte, HP, and Lenovo, among others. Read the full storyhere. |
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| | | Apple ‘big AI updates’ coming soon |
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If the Let Loose event gave us a glimpse of the things to come, a recent earnings call saw Apple chief Tim Cook upbeat and optimistic about the “opportunities in generative AI”. He said Apple was “making significant investments”, hinting at the “big AI plans” for the WWDC next month. Ahead of the event, Apple has been making waves by integrating generative AI capabilities into its devices. In the past few months, it has introduced its latest creations, the MM1 models—a new series of multimodal AI models with an impressive 30 billion parameters – alongside ReALM, which integrates text and images to enhance its understanding and responsiveness to prompts. Apple also introduced Ferret-UI, a multimodal AI model designed to execute precise tasks concerning user interface screens while interpreting and acting upon open-ended language instructions. It also unveiled Keyframer, a tool purportedly capable of generating animations from static images alongside an AI model tailored for image editing. |
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| | | | | iPhone 16 likely to run on OpenAI GPTs |
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Over the past few months, Apple has been in talks with various tech giants, including Baidu, Google and OpenAI, to integrate generative AI into its upcoming iPhone series. Recently, the company reinitiated discussions with OpenAIto integrate AI functionalities into iOS 18 (iPhone 16). In 2023, reports indicated that Apple invested significantly in research and development to improve Siri’s conversational skills. Integrating a GPT-like technology into Apple’s infrastructure would essentially improve Siri. The primary capabilities of a GenAI-driven Siriwill probably stem from Apple’s in-house models operating on the device, while supplementary functionalities such as generating images and crafting long-form text may be sourced from third-partyentities like OpenAI, Baidu, or Google. |
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| | | 🚀 Dive into the world of data science innovation at WiDS Bangalore 2024 🌟 Calling all data enthusiasts to submit papers on AI applications in fintech, healthcare, business analytics, and beyond. Don't miss the chance to showcase your expertise to a global audience. Submit now and be part of the revolution! #WiDS2024 Learn more and register: [Link] 🌐 Let's shape the future together. |
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| Helping enterprises save big on SaaS expenditures with GenAI |
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| | | Ask any enterprise customers, and they will tell you how expensive it is to run a SaaS application on the cloud. Gartnerprojectedthat in 2023 alone, enterprises saw about a 21% increase in spending. In extreme cases, the average spend surged by up to 500%. This is where YC-backed CloudEaglecomes into the picture. |
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| | | Sarvam AI, in collaboration with Setu, launched Sesame, India's first domain-specific LLM tailored for the BFSI sector to tackle fraud detection and credit underwriting. LTIMindtree and IBM recently set up a Generative AI Center of Excellence in India to enhance AI adoption with advanced IBM watsonx technology and LTIMindtree's engineering expertise. OpenAI has collaborated with Digital Green to enhance agricultural productivity in India using AI tools like GPT-4 for crop advice, disease management, and market insights. Microsoft recently expanded its data centre operations in India with a strategic 48-acre land purchase in Hyderabad, positioning itself to meet increasing local data demands and complementing its existing facilities in Pune, Mumbai, and Chennai. Tata Electronics started exporting semiconductor chips from its Bengaluru R&D centre to partners in Japan, the US, and Europe. |
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| | | | | | | Rakuten India, in partnership with AIM, is hosting the fourth edition of the Rakuten Product Conference (RPC) ‘24, a virtual event on May 21-22, focusing on Enterprise SaaS and AI for data scientists and innovators globally. |
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