⚡︎🔋Google launches Code Assist - enterprise-focused AI code tool

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Good morning, aspiring leaders of the next-gen! ☀️

🙏🏼 Here’s what’s going on today…

This week in AI, Google is innovating in cloud security by incorporating generative AI, aiming to enhance protection mechanisms. In a significant financial boost, AI data security startup Cyera has secured $300 million, reaching a valuation of $1.4 billion, highlighting the increasing investment in AI's role in cybersecurity.

Google is also stepping up its AI game by launching Code Assist, set to rival GitHub's Copilot, signaling a heated competition in AI-powered coding assistance. Meanwhile, Nvidia's anticipation builds around its next-gen Blackwell platform, set to debut on Google Cloud in early 2025, indicating strategic collaborations in cloud computing and AI technologies.

Meta is not far behind, with plans to unveil Llama 3 next week, teasing the AI community before a broader launch in summer 2024, suggesting significant advancements in AI language models. Furthermore, Apple is reportedly developing ‘Ferret UI’, an AI model designed to understand the iPhone UI, pointing towards AI's deepening integration in consumer electronics. This week's news showcases a dynamic AI landscape, characterized by strategic investments, competitive innovations, and collaborative efforts across various sectors, underscoring the relentless pace of progress in the AI domain.

85% of all AI projects fail, but ours succeed

At AE we like solving really hard problems. One pretty big one is AI alignment. Although “building conscious AI” carries some shock factor, we have a pretty thought-about approach to our AI safety efforts. Ask us about it.

And we’ve proven ourselves with custom software and AI solutions for all sorts of clients: early stage startups, Fortune 500, AI, blockchain, e2e product development, best machine learning algorithms for BCI, etc. (basically any tech buzz word you can think of). The secret to our success is treating your business as if it was our own startup.

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We’re ready to listen to your business challenge–tell us all about it.

🤖 #1 Insights this week on AI. Click the links to read

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⬆️ Trends: How businesses use AI and how they implement

Healthcare benefits from various AI subtypes, including natural language processing (NLP) that enables machines to interpret human language and machine learning (ML) algorithms that predict outcomes based on extensive data analysis.

AI is already a pivotal player in healthcare, with potential future applications that promise to be transformative. Here are four key areas where AI is reshaping healthcare:

1. Improving Diagnostics: AI aids healthcare professionals in diagnosing diseases by analyzing symptoms, suggesting personalized treatments, and assessing risk. It also enhances the accuracy of detecting diseases through advanced imaging and analysis tools. AI-driven symptom checkers and personalized treatment recommendations based on deep learning models exemplify AI's contribution to precision medicine and risk prediction.

2. Advancing Treatment: AI technologies, including brain-computer interfaces and machine learning algorithms, are improving treatments for patients with conditions like ALS, strokes, and spinal cord injuries. AI is also advancing immunotherapy and supporting clinical decision-making, besides accelerating drug development processes.

3. Boosting Patient Engagement and Adherence: Wearables and smart devices play a crucial role in monitoring health and encouraging patient adherence to treatment plans. AI-driven personal health alerts and self-service models enhance patient engagement and make healthcare more accessible.

4. Supporting Administrative and Operational Efficiency: AI streamlines healthcare administration by automating tasks such as clinical documentation and insurance claims processing, thereby improving operational workflow and reducing the time healthcare professionals spend on administrative tasks.

🧰 Hands-on: How to get a boost with AI tools

Work smarter, not hard

I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

❤️ loved by thousands of readers 🙋‍♀️

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