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Biotech Startup Cradle Raises $73 Million to Boost Protein Engineering
- Amsterdam-based biotech startup Cradle has raised $73 million in Series B funding to support its AI-powered platform for protein engineering.
- Cradle uses generative AI to design and engineer proteins, including enzymes, vaccines, peptides, and antibodies, in a more efficient and cost-effective manner.
- The latest investment will help Cradle address challenges in therapeutics, diagnostics, food, chemicals, and agriculture industries, with companies like Novo Nordisk and Johnson & Johnson already using their platform.
- Cradle's generative protein language model, trained on billions of sequences, significantly reduces the number of experimental rounds needed for protein development, leading to faster results and increased project success rates.
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Analyticsindiamag
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Cursor Agents are Making GitHub Copilot, Codeium Nervous
- GitHub Copilot now has powerful AI models from OpenAI, Google and Anthropic; prompting competitor Cursor to release Agents in its 0.43 update.
- Cursor Agents feature more autonomy and contextualised searches, and Composer allows for rendering and visualising projects.
- Cursor is competing with Codeium, specifically Windsurf, which has cheaper pricing per token.
- Cursor’s new update aims to make complex tasks more manageable. But Cursor’s co-founders are aware they need to innovate rapidly.
- GitHub Copilot's creators claim at the pace of Anysphere, Microsoft cannot keep up with innovation. Cursor takes a multi-model choice approach.
- With a valuation of $2.5bn, OpenAI-backed Cursor is making $4m in monthly revenue.
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Analyticsindiamag
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‘I Apologised to LPs for the First Time in 40 Years,’ says Vinod Khosla
- Vinod Khosla, co-founder of Sun Microsystems and venture capitalist, apologized to limited partners (LPs) for the first time in his 40-year career after investing $25 million in OpenAI.
- Khosla made the investment when OpenAI was a non-profit organization without a product or revenue plan.
- The investment secured Khosla Ventures a 5% stake in OpenAI, which is now valued at $157 billion.
- Khosla envisions that AI could lead to free doctors, tutors, and lawyers within a decade.
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Analyticsindiamag
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Indian AI Researchers Can Only Dream of Building Billion-Dollar Startups
- Indian researchers struggle to thrive as startup founders at home, highlighting the sad state of AI startups in India.
- Investors preferring quick returns over long-term deep-tech investments contribute to the problem.
- India has little investment in R&D compared to other developed nations, and the IT industry still operates on a service model, limiting the production of foundational AI.
- Professor Ganesh Ramakrishnan of IIT Bombay and co-founder of bbsAI is developing small language models and native language technology to promote inclusivity and innovation.
- In contrast, regions like Silicon Valley have abundant capital and supportive culture, enabling networks of investors and incubators for startups.
- However, there are cases where founders have returned to big tech after launching their own startups because of a lack of investment and support from India's industry and government.
- Tech giants like Google, Microsoft, Amazon, and Facebook all began as research ideas, and leading tech companies either acquire or fund research firms to close the gap in their AI advancements.
- Startups that have originated in research labs or were founded by former researchers like DeepMind, Anthropic, Cohere, Hugging Face, Stability AI, and Mistral AI have gained significant funding and introduced new AI technologies.
- Investors are attracted to founders due to their strong technical footing, making it easier to secure venture capital, and AI researchers are uniquely positioned to build million, or even billion-dollar startups.
- AI market is projected to reach $780–$990 billion by 2027, growing at an annual rate of 40-55%, according to reports.
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Appsilon
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The Benefits of Fully Utilizing UX/UI Design Throughout the Project Journey for Extractable
- Involving designers throughout the entire project can help maintain a consistent vision, align goals, and improve user experience.
- Designers' involvement provides iterative improvements in the interface based on feedback, ensuring an effective interface.
- Keeping designers engaged throughout the project allows them to make helpful suggestions for optimization in terms of both visual improvements and structural optimizations.
- Providing detailed specifications, design systems, and comprehensive components and tokens can help with streamlining the development process and minimize inconsistencies.
- Continuous participation of a designer ensures that the project remains true to its goals, especially as acceptance criteria change.
- During the development process, a designer's work as a guide in implementation is essential, with a UI audit of each step and dealing with issues and resolving them.
- A designer's work can include designing the logo, UI language, backlog, and design preparation for further stages of implementation.
- Involving designers throughout the project journey leads to streamlined development, enhanced user experience, and a consistent vision and focus.
- Continuous designer involvement can take a project to the next level by improving the design and ensuring that it is implemented as intended.
- UX/UI design is a critical component of any project, and its significance must be fully recognized by all stakeholders to produce the best outcome.
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Analyticsindiamag
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Intel’s Promise to IISc is 10 AI PCs, for Now
- Intel has established AI PC Experience Development Centres at two Indian institutes, the IISc Bengaluru and IITH, providing students with access to the Core Ultra Processors for designing AI applications. Intel's future plans involve producing 100 million AI PCs by 2025. The two institutes' development centres provide advanced AI hardware, software and tailored support from Intel's technologists to generate practical experience and real-world solutions across various fields. AMD previously partnered with IISc to advance Indian AI and HPC research, providing additional training and internships for students. The Indian government is set to see a significant improvement in the development of AI systems from the involvement of Intel, AMD and a number of other tech giants beginning to invest in the field.
- Intel aims to provide 100 million AI PCs by 2025, focusing on India as a key market.
- Intel has established AI PC Experience Development Centres at IISc Bengaluru and IITH.
- The centres aim to provide researchers with AI hardware and software support and mentorship.
- The development centres are equipped with advanced technology for AI research, focusing on student innovation and practical experience in real-world AI solutions.
- AMD previously partnered with IISc to advance Indian AI and HPC research in this burgeoning market for tech.
- Gilles Garcia, senior director business lead, data centre communication group at AMD said AMD has been actively looking at Indian universities to establish its presence and upskill students.
- Intel is building PC systems for students including an initiative with the Government of Karnataka to offer AI PCs to every student from primary to K-12.
- India's population of 300 million students is driving the race towards AI-equipped schools.
- As AI is increasingly being adopted across India, public-private sector partnerships are critical to driving growth in research and investment.
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Medium
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Designing a Dating App Algorithm
- The dating app algorithm was designed with the objective of solving loneliness and ensuring user satisfaction.
- Key features include a multifactor onboarding flow, weighted preferences, machine learning for user behavior analysis, user privacy and security measures, feedback loop mechanisms, and continuous algorithm refinement.
- The algorithm aims for a user satisfaction rating of 4.2 out of 5, a response rate of at least 70% for feedback, effectiveness in aligning with user preferences, and a matching accuracy of 85%.
- The algorithm underwent testing and scalability verification before beta testing, and interested users can join the waiting list.
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Analyticsindiamag
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Okta’s Quiet Move into Bringing Identity to AI Agents
- Okta has launched its Customer Identity Cloud to help developers and organisations secure identities in generative AI applications.
- The new feature of the Customer Identity Cloud enables customers to implement secure identity standards more easily for typical patterns in GenAI applications.
- Okta is integrating the authentication platform Auth0 for GenAI with popular frameworks and libraries like LangChain and Vercel, allowing developers to seamlessly authenticate users and incorporate GenAI capabilities into their applications.
- In an interview with AIM, Okta customer identity CTO Bhawna Singh spoke about the growing need to authorise AI agents. She further explained that as these AI agents interact with each other, it is essential that they have the right data access.
- Okta offers API management capabilities, freeing developers from repetitive tasks.
- AgentAuth is another solution designed for AI agents that supports over 250 apps across categories like CRMs, ticketing and productivity tools.
- Okta has been in the identity space for a long time with both enterprise and consumer-level customers.
- Research and Markets report projects the AI agents market to grow from $5.1bn in 2024 to $47.1bn in 2030, a CAGR of 44.8% during 2024-2030.
- Okta recently opened its innovation centre in Bengaluru as the company sees growing demand for secure workforce identity solutions as tech companies in India continue to innovate.
- As India’s tech space grows, cybersecurity is becoming a top priority for everyone and Okta is focusing on tackling cybersecurity challenges.
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Analyticsindiamag
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The Year AI Erred
- AI’s unexpected consequences overshadowed its successful integration into everyday life, raising debates about its regulation.
- AI’s shortcoming in privacy and ethics, including breaching personal boundaries, were of great concern, such as OpenAI’s ChatGPT initiating conversations.
- Character AI created ethical dilemmas after being sued for abetting someone’s suicide or replicating a deceased girl’s personality without consent.
- AI’s struggle with accuracy and bias revealed serious and sometimes harmful implications in healthcare and legal systems.
- The mishaps of Google and OpenAI’s transcription tools and Gemini added to the failures of Google’s AI Overview search summary tool of offering dangerously misleading healthcare advice.
- AI’s unchecked use in legal proceedings resulted in unintended consequences like Vancouver-based lawyer Chong Ke submitting fictitious cases generated by ChatGPT, misleading the court.
- The over-reliance on AI in critical decision-making processes, such as recruitment and transportation, exhibited the importance of human oversight.
- The year 2024 also saw the surge in AI-driven scams and misinformation across industries, along with concerns over deepfake scams and voter disenfranchisement.
- In response, efforts focused on reshaping laws and creating ethical guidelines to steer AI in a responsible direction, emphasising balancing innovation and safeguarding humanity’s core values.
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Analyticsindiamag
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NVIDIA Strikes a Chord with Fugatto
- NVIDIA has announced a new text-to-audio model called Fugatto, which can create ‘any combination of music, videos and sounds’.
- Fugatto is trained on 2.5 billion parameters and built on top of NVIDIA DGX systems, with 32 NVIDIA H100 GPUs.
- The tool is positioned for audio producers, video game developers, language learning tools, and ad agencies.
- When released, Fugatto will compete with existing audio generation tools such as ElevenLabs and SunoAI.
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Medium
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5 Mistakes Every Data Aspirant Makes in the Beginning & How to Avoid Them
- Establishing a career in data science is an exciting yet overwhelming journey, and many people struggle to stay on track, often skipping important steps along the way.
- Beginners in data science often make the mistake of jumping into technicalities without fully understanding foundational knowledge, causing confusion and frustration.
- Neglecting the importance of math and statistics is a common mistake made by beginner data scientists, as these concepts are fundamental to data science.
- To avoid mistakes, it is essential for data aspirants to develop a strong foundation in math and statistics and continuously improve their skills in these areas.
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Analyticsindiamag
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Anthropic Now Connects Data to AI Chatbots Easily
- Anthropic has open-sourced Model Context Protocol (MCP) for connecting AI assistants to data repositories.
- MCP provides a universal framework for secure connections between AI applications and data sources.
- Block, Apollo, and other development tool companies have integrated MCP into their systems.
- Anthropic offers pre-built MCP servers for platforms including Google Drive, Slack, GitHub, and more.
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Medium
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Unlock Your Website Potential: WebWave’s Can’t-Miss Black Friday Deal!
- WebWave is an AI-powered drag-and-drop website builder that allows anyone to create a website without coding.
- WebWave is offering an unbeatable Black Friday deal, providing a special offer for users.
- Users can experience an intuitive design platform that empowers them to build stunning websites.
- WebWave stands out with its creative freedom, cost-effectiveness, and 24/7 customer support.
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Medium
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Unlock Pineapple Builder’s Black Friday Offer: Transform Your Website Instantly!
- Unlock the potential of your projects with Pineapple Builder’s exceptional tools — get started today with their free trial!
- Discover how Pineapple Builder is revolutionizing the website creation process with its user-friendly AI tools that promise guaranteed traffic and higher conversions. Satisfied users are enjoying effortless and enjoyable site building experiences.
- Pineapple Builder offers an intuitive and powerful AI website builder designed to transform your vision into reality with guaranteed traffic and higher conversions.
- With its highly intuitive and user-friendly interface, excellent customer support, and a free trial option, Pineapple Builder is recommended for anyone looking to build and maintain an effective online presence.
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Medium
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Risk Management Reimagined: How XBanking's AI-Powered System is Transforming Finance
- XBanking has developed an AI-powered risk management system that revolutionizes finance.
- Traditional risk management methods are inadequate for modern demands.
- XBanking's system offers advanced risk analytics, real-time monitoring, automated reporting, and integrated workflows.
- Benefits include enhanced efficiency, improved accuracy, strengthened compliance, better decision-making, and cost savings.
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