Ray-Ban Meta smart glasses have been enhanced with multimodal AI technology, enabling them to process queries that involve multiple mediums such as audio and imagery. This advancement allows the glasses to better respond to queries based on what the wearer is looking at, offering real-time translation, object identification, and more. The AI also has the ability to tap into cloud-based processing, further enhancing its capabilities.
Generative AI has revolutionized various industries but has also opened the door to increasing cyber threats. With phishing incidents soaring and advanced attacks on the rise, organizations and individuals are becoming more susceptible to cyber-attacks. Collaborative efforts, ethical frameworks, and digital awareness are crucial to mitigate these risks, ensuring a secure digital landscape. Initiatives like the Bletchley Declaration and industry-wide training can bolster defenses against the evolving threats posed by generative AI.
Microsoft India’s head, Puneet Chandok, believes India will lead the way in AI advancement. Over 500 enterprises utilize Microsoft’s Azure OpenAI platform, and India plays a crucial role in global AI development. The company collaborates with Indian AI platforms, government agencies, and leading organizations like Air India, Indigo, and Larsen & Toubro to deploy operational AI assistants. Partnerships with IT services giants like TCS and Infosys aim to promote Microsoft’s Copilot, a generative AI solution. India’s strong developer base (13.2 million on GitHub Copilot) and rapid adoption of off-the-shelf Copilot solutions contribute to Microsoft’s revenue growth. Chandok emphasizes the strategic importance of India beyond financial gains, highlighting plans to expand data centers in Hyderabad to support AI’s growing compute needs. The company is also developing smaller AI models tailored to the Indian context and specific use cases.
Microsoft has updated its policies to prohibit U.S. police departments from utilizing generative AI through Azure OpenAI Service. The ban covers integrations with text- and speech-analyzing models, as well as real-time facial recognition technology on mobile cameras in public settings. The move follows concerns raised about potential risks, including inaccuracies and biases introduced by generative AI.
Lamini, a startup founded by AI specialists Sharon Zhou and Greg Diamos, has secured $25 million in funding to develop its enterprise-focused generative AI platform. The platform is designed to address specific challenges faced by corporations, such as security, scalability, and model accuracy. Lamini claims to provide high-performance training and optimization capabilities with its unique approach called “memory tuning,” which aims to reduce hallucination in AI responses.
Anthropic, a prominent player in the generative AI landscape, has announced the launch of its Team plan, catering specifically to the needs of enterprises seeking to harness the power of AI. This offering includes enhanced access to Anthropic’s Claude 3 models, along with comprehensive administrative and user management controls. Anthropic’s strategic move aligns with growing demand from businesses for secure and regulated AI solutions in industries such as healthcare, finance, and legal.
San Francisco-based security company Traceable, co-founded by Jyoti Bansal and Sanjay Nagaraj, has raised $30 million in strategic funding. The investment, led by Citi Ventures, will be used to accelerate product development, scale up the company’s platform and customer engineering teams, and build out its partnership program. Traceable’s platform uses AI to analyze API usage data and learn normal API behavior to spot activity that deviates from the baseline. The company’s software can discover and catalog existing and new APIs in real-time, including undocumented and “orphaned” APIs. Traceable claims to be analyzing around 500 billion API calls a month for ~50 customers and projecting revenue to double this year.
CodeWhisperer, Amazon’s AI-powered coding assistant, has rebranded as Q Developer. The tool is now part of Amazon’s Q family of generative AI chatbots and helps developers with tasks such as debugging, troubleshooting, and security scans. Q Developer can also generate code in multiple languages, test code, and assist with implementing new code. The premium version, Q Developer Pro, offers higher usage limits, user management tools, and IP indemnity.
Seam, a startup aiming to enhance data accessibility for business users, has secured $5 million in seed funding. Their platform utilizes a generative AI-driven interface, allowing users to query customer data in natural language without the need for SQL expertise. Seam’s solution addresses the friction faced by non-technical users in extracting insights from data warehouses, such as Snowflake. The company’s long-term vision involves scaling their platform and empowering more businesses to unlock the value of their data.
Google’s Gemini is a suite of generative AI models, apps, and services that aims to revolutionize various aspects of computing. It consists of three tiers: Nano, Pro, and Ultra, each offering unique capabilities and use cases. Gemini models are trained to be multimodal, enabling them to work with and use more than just words. This sets them apart from previous models like LaMDA, which was limited to text data. Gemini has applications in various fields, including physics homework assistance, scientific research, image generation, and language processing. It is accessible through the Gemini apps, Vertex AI, AI Studio, and various Google products like Gboard, Recorder, and Magic Compose. Despite early impressions that have raised concerns, Google claims that Gemini outperforms current state-of-the-art models in benchmarks. The company is continuously updating and improving Gemini, with plans for future advancements and integrations.
