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Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Biotechnology and health Google’s new AI will help researchers understand how our genes work First came AlphaFold. Now comes AlphaGenome for DNA. By Antonio Regalado archive page June 25, 2025 Science Photo Library When scientists first sequenced the human genome in 2003, they revealed the full set of DNA instructions th
LAION released EmoNet, a suite of open-source tools designed to interpret emotions from voice and facial recordings, aiming to democratize emotional intelligence technology. LAION founder Christoph Schuhmann stated that the release’s objective is to make emotional intelligence technology, currently accessible to large laboratories, available to a broader community of independent developers.
Threats associated with AI use are rising in both volume and severity, as this new-age technology touches more and more aspects of human lives. A new report now warns of another impending danger associated with the wide-scale use of AI. The findings contained within are quite unnerving – it claims that AI may blackmail or […] The post AI Will Blackmail, Snitch, Even Kill For Its Hidden Agendas appeared first on Analytics Vidhya.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
Introducing a new, unifying DNA sequence model that advances regulatory variant-effect prediction and promises to shed new light on genome function — now available via API.
The startup, now valued at about $500 million, directs artificial-intelligence prompts to various large language models based on cost, speed and other factors Startup OpenRouter has raised $40 million in venture funding to help software developers overwhelmed by the growing number of …
Artificial intelligence (AI) is an umbrella computer science discipline focused on building software systems capable of mimicking human or animal intelligence capabilities to solve a task.
Artificial intelligence (AI) is an umbrella computer science discipline focused on building software systems capable of mimicking human or animal intelligence capabilities to solve a task.
AI agents are attempting to move past the hype stage and into the office, for real. Once sold as futuristic sidekicks, these systems are being embedded in everyday workflows — taking meetings, drafting emails, pulling reports, even making judgment calls within tightly defined boundaries. They're not fully autonomous, but they don’t need to be.
If you have just started to learn machine learning, chances are you have already heard about a Decision Tree. While you may not presently be aware of its working, know that you have definitely used it in some form or the other. Decision Trees have long powered the backend of some of the most popular […] The post What is Decision Tree? appeared first on Analytics Vidhya.
In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources.
The command line has always been a developer’s haven, a space where ideas take shape, bugs are crushed, and real innovation begins. Now, Google is stepping in to amplify that environment with a major announcement that has the potential to reshape how we write and manage code. Enter Gemini CLI: a free, open-source AI coding […] The post Gemini CLI: Free & Open Source Coding Agent by Google appeared first on Analytics Vidhya.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
This post is divided into four parts; they are: • Why Attention Masking is Needed • Implementation of Attention Masks • Mask Creation • Using PyTorch's Built-in Attention In the
We’re thrilled to announce the completion of the Databricks Smart Business Insights Challenge: our first-ever APJ-led virtual hackathon designed to showcase how AI/BI tools can
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
AlphaGenome, accessible via API, cracks the “junk DNA” code, outperforms top rivals in key tests, and puts advanced genomics tools within reach of labs around the world.
Researchers from Tsinghua University have developed a multi-agent framework called MATE , designed to improve accessibility through automated modality conversion. The system uses large language models (LLMs) and other AI tools to help users with disabilities convert data—such as text, images, or audio—into formats they can understand more easily. Addressing gaps in accessibility with AI Despite the growing use of AI in many fields, accessibility remains underserved.
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I discovered a fun and strangely obvious trick for summarizing videos faster and reducing costs: just speed them up. Cheaper, faster OpenAI transcriptions with a little ffmpeg trick.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Inside Silicon Valley’s assault on the media When tech companies first rolled out generative-AI products, some critics immediately feared a media collapse. Every bit of writing, imagery, and video became suspect. But for news publishers and journalists, another calamity was on the horizon.
Data structures play a critical role in organizing and manipulating data efficiently, serving as the foundation for algorithms and high-performing applications. Understanding the various types of data structures and their characteristics empowers programmers to select the most appropriate tools for their specific needs, ultimately enhancing application performance and efficiency.
Can AI improve the dating app market? A new dating app called Sitch aims to find out by leveraging human expertise in matchmaking to power its AI model. Today’s dating apps bank on the speed of onboarding and having millions of options.
Stream processing has become a crucial technique in today’s data-driven world, allowing organizations to harness the power of continuous streams of data. This method not only enables timely decision-making but also opens doors to innovative solutions that enhance operational efficiency. As businesses generate and receive massive amounts of data daily, stream processing emerges as a means to effectively manage and analyze this flow in real time.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Travel and expense platform Navan is bringing reliability to the AI workforce, inspired by the human brain and company org charts. AI hallucinations are one of users’ biggest concerns when utilizing large language models (LLMs).
'Perfect Date' uses an LLM to suggest date spots to users. Like seemingly every tech company, dating apps are going all-in on AI features. At a time when daters are sick of apps and want to meet people in person, apps are trying to incentivize users by leaning into more tech.
Expanding to a global market is, undoubtedly, considered a landmark achievement. This also serves as a hallmark that a startup possesses advanced goodwill, international recognition with clients, is a brand, has multiple streams of income, fresh clientele, and positive contributing attributes. New branding and market expansion efforts are targeted towards gaining additional customers.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Data stewardship is an essential process for businesses striving to maintain integrity and value in their data assets. As organizations increasingly rely on data for decision-making, ensuring its quality and accessibility has become more critical. This management role not only safeguards data but also enhances its usability across various business functions.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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