News from the AI & ML world
DeeperML - #google
|
Maximilian Schreiner@THE DECODER
//
Google's Gemini 2.5 Pro is making waves as a top-tier reasoning model, marking a leap forward in Google's AI capabilities. Released recently, it's already garnering attention from enterprise technical decision-makers, especially those who have traditionally relied on OpenAI or Claude for production-grade reasoning. Early experiments, benchmark data, and developer reactions suggest Gemini 2.5 Pro is worth serious consideration.
Gemini 2.5 Pro distinguishes itself with its transparent, structured reasoning. Google's step-by-step training approach results in a structured chain of thought that provides clarity. The model presents ideas in numbered steps, with sub-bullets and internal logic that's remarkably coherent and transparent. This breakthrough offers greater trust and steerability, enabling enterprise users to validate, correct, or redirect the model with more confidence when evaluating output for critical tasks. Recommended read:
References :
@Google DeepMind Blog
//
Google is preparing to unveil significant AI advancements, with speculation pointing towards enhancements to its Gemini model. Rumors suggest a potential update to Gemini 2.0 Pro, possibly named "Nebula," which has been observed performing well on specific prompts. This new model is expected to incorporate advanced reasoning capabilities, adding a new layer of sophistication to Google's AI offerings.
Google's strategy involves integrating AI into various facets of its services, which is evident by the official rollout of its Data Science Agent to most Colab users for free. Gemini 2.0 is designed to be universally applied across Google's products. It will enhance AI Overviews in Google Search, which now serve one billion users, by making them more nuanced and complex. Additionally, live video and screen sharing are being rolled out to Gemini Live, improving the models features. Recommended read:
References :
Maria Deutscher@AI ? SiliconANGLE
//
Isomorphic Labs, an Alphabet spinout focused on AI-driven drug design, has secured $600 million in its first external funding round. The investment, led by Thrive Capital with participation from Alphabet and GV, will fuel the advancement of Isomorphic Labs' AI drug design engine and therapeutic programs. The company aims to leverage artificial intelligence, including its AlphaFold technology, to revolutionize drug discovery across various therapeutic areas, including oncology and immunology. This funding is expected to accelerate research and development efforts, as well as facilitate the expansion of Isomorphic Labs' team with top-tier talent.
Isomorphic Labs, founded in 2021 by Sir Demis Hassabis, seeks to reimagine and accelerate drug discovery by applying AI. Its AI-powered engine streamlines the design of small molecules with therapeutic applications and can predict the effectiveness of a small molecule's attachment to a protein. The company's software also eases other aspects of the drug development workflow. Isomorphic Labs has already established collaborations with pharmaceutical companies like Eli Lilly and Novartis, and the new funding will support the progression of its own drug programs into clinical development. Recommended read:
References :
Koray Kavukcuoglu@The Official Google Blog
//
Google has unveiled Gemini 2.5 Pro, touted as its "most intelligent model to date," enhancing AI reasoning and workflow capabilities. This multimodal model, available to Gemini Advanced users and experimentally on Google’s AI Studio, outperforms competitors like OpenAI, Anthropic, and DeepSeek on key benchmarks, particularly in coding, math, and science. Gemini 2.5 Pro boasts an impressive 1 million token context window, soon expanding to 2 million, enabling it to handle larger datasets and understand entire code repositories.
Gemini 2.5 Pro excels in advanced reasoning benchmark tests, achieving a state-of-the-art score on datasets designed to capture human knowledge and reasoning. Its enhanced coding performance allows for the creation of visually compelling web apps and agentic code applications, along with code transformation and editing. Google plans to release pricing for Gemini 2.5 models soon, marking a significant step in their goal of developing more capable and context-aware AI agents. Recommended read:
References :
S.Dyema Zandria@The Tech Basic
//
Google is enhancing its Gemini AI with a new feature that allows users to create AI podcasts from research materials. This new capability, called Audio Overviews, converts research and study materials into engaging, podcast-style discussions featuring AI hosts. This aims to make learning and information consumption more accessible and enjoyable, particularly for educational purposes.
The Audio Overviews feature leverages Gemini's Deep Research capabilities. Users can input a topic, have Gemini generate a detailed report, and then convert that report into a conversational podcast with AI hosts. These hosts discuss the information in an approachable manner, similar to two friends exploring a topic. This tool is available to both free and paid Gemini Advanced users. Recommended read:
References :
Ken Yeung@Ken Yeung
//
Google is enhancing its AI ecosystem with new tools and features designed to boost productivity and simplify complex tasks. NotebookLM, Google's AI-powered research assistant, receives major updates including a revamped interface and the "Discover Sources" feature. This feature allows users to search for keywords and import relevant sources into their notebook knowledge base, identifying around 10 results per search and giving users manual control over their knowledge base.
Additionally, Google is integrating AI into travel planning with new tools in Google Maps. Users can now create trip itineraries in AI Overviews by entering travel-related queries into Google, which generates tailored suggestions, flight and hotel results, and an expandable map. Another feature allows Google Maps to analyze trip-related screenshots from platforms like TikTok or Instagram, identifying locations mentioned in the images and compiling them into an itinerary. Recommended read:
References :
Ellie Ramirez-Camara@Data Phoenix
//
Google has recently unveiled Gemini 2.5 Pro, hailed as its most intelligent AI model to date. This "thinking model" excels in reasoning and coding benchmarks, boasting a 1M token context window. It has already claimed the top position on the Chatbot Arena LLM Leaderboard, showcasing its superior performance in overall, math, instruction following, creative writing, and hard prompts. Gemini 2.5 Pro is now available for Gemini Advanced users, with Vertex AI integration planned for the near future.
The company states the enhanced base model and improved post-training techniques allows Gemini 2.5 Pro to go beyond classification and prediction. In addition to its achievements in the Chatbot Arena LLM Leaderboard, Gemini 2.5 Pro has demonstrated state-of-the-art capabilities across academic benchmarks, achieving leading scores in math and science benchmarks, including GPQA and AIME 2025, as well as a score of 18.8% on Humanity's Last Exam. Recommended read:
References :
Evelyn Blake@The Tech Basic
//
References:
The Tech Basic
, gHacks Technology News
,
Google has begun rolling out real-time interaction features to its AI assistant, Gemini, enabling live video and screen sharing. These enhancements, powered by Project Astra, allow users to engage more intuitively with their devices, marking a significant advancement in AI-assisted technology. These features are available to Google One AI Premium subscribers.
The new live video feature allows users to utilize their smartphone cameras to engage in real-time visual interactions with Gemini, enabling the AI to answer questions about what it observes. Gemini can analyze a user’s phone screen or camera feed in real-time and instantly answer questions. The screen-sharing feature enables the AI to analyze and provide insights on the displayed content, useful for navigating complex applications or troubleshooting issues. Google plans to expand access to more users soon. Recommended read:
References :
Evelyn Blake@The Tech Basic
//
References:
The Tech Basic
, gHacks Technology News
,
Google has started rolling out new AI tools for Gemini, allowing the assistant to analyze your phone screen or camera feed in real time. These features are powered by Project Astra and are available to Google One AI Premium subscribers. The update transforms Gemini into a visual helper, enabling users to point their camera at an object and receive descriptions or suggestions from the AI.
These features are part of Google's Project Astra initiative, which aims to enhance AI's ability to understand and interact with the real world in real-time. Gemini can now analyze your screen in real-time through a "Share screen with Live" button and analyze your phone's camera. Early adopters have tested the screen-reading tool, and Google plans to expand access to more users soon. With Gemini's live video and screen sharing functionalities, Google is positioning itself ahead in the competitive landscape of AI assistants. Recommended read:
References :
Ken Yeung@Ken Yeung
//
Google has launched a new feature called "Discover Sources" for NotebookLM, its AI-powered tool designed to organize and analyze information. Rolling out to all users starting April 2, 2025, the new feature automatically curates relevant websites on a specified topic, recommending up to ten sources accompanied by AI-generated summaries. This enhancement streamlines research by allowing users to quickly surface relevant content from the internet.
NotebookLM, initially launched in 2023 as an AI-powered alternative to Evernote and Microsoft OneNote, previously relied on manual uploads of documents, articles, and notes. "Discover Sources" automates the process of pulling in information from the internet with a single click. The curated sources remain accessible within NotebookLM notebooks, allowing users to leverage them within Briefing Docs, FAQs, and Audio Overviews without repeatedly scouring the internet. This enhancement highlights the growing trend of AI-driven research tools shaping how we work and learn. Recommended read:
References :
@www.infoq.com
//
References:
AI ? SiliconANGLE
, www.infoq.com
,
Google DeepMind has unveiled TxGemma, an AI designed to improve drug discovery and clinical trial predictions. TxGemma, built upon the Gemma model family, aims to streamline the drug development process and accelerate the creation of new treatments. This announcement comes as Isomorphic Labs, an Alphabet spinout, secured $600 million in funding to further develop its AI drug design engine, which reduces manual labor and speeds up drug development.
Isomorphic Labs' engine uses AI to design small molecules with therapeutic applications, predicting their effectiveness in attaching to disease-causing proteins and mapping properties like solubility. This is powered by models like Google's AlphaFold 3, which can predict the shape of proteins, DNA, and RNA, crucial for drug development. The funding will accelerate Isomorphic Labs' research and development efforts, expand its team, and advance its programs, including those focused on oncology and immunology, toward clinical development. Recommended read:
References :
Soumyadeep Sarkar@The Tech Portal
//
Google has announced new AI-powered travel planning tools designed to simplify summer vacation planning. These updates span across Google Search and Maps, incorporating features like expanded itinerary suggestions, price tracking for hotels, and the ability to organize travel ideas from screenshots. The goal is to leverage AI to provide better recommendations and help users find deals, ultimately saving time and reducing the stress associated with planning a trip.
The new features include AI-generated travel recommendations for entire countries and regions, not just cities. For example, users can request itineraries with specific focuses, like a hiking trip in Costa Rica. Google is also extending price tracking to hotels, allowing users to receive email alerts when prices drop for desired locations and dates. A new feature in Google Maps uses Gemini AI to identify places from screenshots and add them to dedicated travel lists, initially launching on iOS in the U.S. with Android support coming later. Recommended read:
References :
@Google DeepMind Blog
//
References:
Google DeepMind Blog
, The Tech Basic
,
Google has launched Gemini 2.0, its most capable AI model yet, designed for the new agentic era. This model introduces advancements in multimodality, including native image and audio output, and native tool use, enabling the development of new AI agents. Gemini 2.0 is being rolled out to developers and trusted testers initially, with plans to integrate it into Google products like Gemini and Search. Starting today, the Gemini 2.0 Flash experimental model is available to all Gemini users.
New features powered by Project Astra are now accessible to Google One AI Premium subscribers, enabling live video analysis and screen sharing. This update transforms Gemini into a more interactive visual helper, capable of instantly answering questions about what it sees through the device's camera. Users can point their camera at an object, and Gemini will describe it or offer suggestions, providing a more contextual understanding of the real world. These advanced tools will enhance AI Overviews in Google Search. Recommended read:
References :
Ellie Ramirez-Camara@Data Phoenix
//
References:
Analytics India Magazine
, Data Phoenix
Google has recently unveiled significant enhancements to its AI capabilities, particularly in coding and presentation. Gemini 2.5 Pro Experimental, Google's most intelligent AI model to date, is now available for free to all Gemini users. This move aims to get the model into more people's hands quickly, showcasing its incredible reasoning capabilities. Gemini 2.5 Pro shines on coding benchmarks and demonstrates advanced reasoning.
The company has also integrated Imagen 3 into Google Slides. The new image generation capabilities are now available. Gemini 2.5 Pro achieved an 18.8% score on Humanity’s Last Exam, surpassing competitors like OpenAI and Claude. This AI model excels in coding and also achieves state-of-the-art scores across several academic benchmarks in math and science. Recommended read:
References :
Amir Najmi@unofficialgoogledatascience.com
//
Data scientists and statisticians are continuously exploring methods to refine data analysis and modeling. A recent blog post from Google details a project focused on quantifying the statistical skills necessary for data scientists within their organization, aiming to clarify job descriptions and address ambiguities in assessing practical data science abilities. The authors, David Mease and Amir Najmi, leveraged their extensive experience conducting over 600 interviews at Google to identify crucial statistical expertise required for the "Data Scientist - Research" role.
Statistical testing remains a cornerstone of data analysis, guiding analysts in transforming raw numbers into actionable insights. One must also keep in mind bias-variance tradeoff and how to choose the right statistical test to ensure the validity of analyses. These tools are critical for both traditional statistical roles and the evolving field of AI/ML, where responsible practices are paramount, as highlighted in discussions about the relevance of statistical controversies to ethical AI/ML development at an AI ethics conference on March 8. Recommended read:
References :
|
BenchmarksBlogsResearch Tools |