|
Gemini 2.0 is supposed to make Google's AI come alive thanks to agents and Deep Research to create quick, internet-based reports.
|
RELATED ARTICLES | | | | |
|
Willow isn't just a technological triumph, though. It's a full-blown scientific breakthrough in quantum computing research. Google has published a study in Nature that addresses one of the biggest challenges in quantum technology: error correction. The study shows that as more "qubits" are added to a quantum computer, the better the error suppression becomes, making the technology more scalable.
Qubits, which are the individual units of information in quantum computers, can exist in the state of 0, 1, or both at the same time (unlike the binary "0 or 1" bits in traditional computers). This opens up computing possibilities that were previously unthinkable.
The potential of quantum computers is massive. They can be used to develop new medicines, design advanced battery technologies, or pave the way for fusion reactors. But with this power comes risks, such as the possibility of creating new viruses, breaking encryption codes, or using the technology for surveillance and weapons development.
|
|
When Google debuted Gemini 1.5 Pro in February, the company touted the model's ability to reason through what it called "long context windows." It said, for example, the algorithm could provide details about a 402-page Apollo 11 mission transcript. Now, Google is giving people a practical way to take advantage of those capabilities with a tool called Deep Research. Starting today, Gemini Advanced users can use Deep Research to create comprehensive but easy-to-read reports on complex topics.
Aarush Selvan, a senior product manager on the Gemini team, gave Engadget a preview of the tool. At first glance, it looks to work like any other AI chatbot. All interactions start with a prompt. In the demo I saw, Selvan asked Gemini to help him find scholarship programs for students who want to enter public service after school. But things diverge from there. Before answering a query, Gemini first produces a multi-step research plan for the user to approve.
For example, say you want Gemini to provide you with a report on heat pumps. In the planning stage, you could tell the AI agent to prioritize information on government rebates and subsidies or omit those details altogether. Once you give Gemini the go-ahead, it will then scour the open web for information related to your query. This process can take a few minutes. In user testing, Selvan said Google found most people were happy to wait for Gemini to do its thing since the reports the agent produces through Deep Research are so detailed.
In the example of the scholarship que
|
|
TWEAKS AND UPDATES Search Engine Roundtable: Google Search Having Indexing Issues Again. "Google Search is once again having indexing issues where new content is not showing in the index for all sites. […]
|
|
