Some friends say that as soon as the holiday is over, the supervisor's barrage of questions comes again!
"How many papers did you read during the holiday?"
"Have you finished running the experimental data?"
"Before asking this question, have you thought about it yourself?"
"Where does this sentence come from? Is there literature support for it?"
Are you all already feeling guilty, thinking that your project has not even started with the literature review, and already trembling?
Don't worry, the savior of clueless undergraduates, miserable graduate students, and balding PhD students—
With 300 million papers and free open accessAMiner Deep Thinkingis here!
Key point: free, reliable, and backed by an authoritative database.
01. Beginner usage Searching for project inspiration in the early stage
The process of writing a paper is like:
A good project concept can give us no small amount of confidence in the early stage. Of course, if you want to conceive it well, inspiration is the most important thing.
Prompt: Frontier literature at the intersection of quantum mechanics and artificial intelligence.
Gaining inspiration is inseparable from referring to various literature materials. You can first choose a direction and let AMiner Deep Thinking obtain the latest related literature materials.
Opening two of them, you can see that they are indeed the latest papers.
Let me also try using a research topic from someone else's research to simulate the role AMiner Deep Thinking plays when researching a topic.
Prompt: Quantum machine learning for noisy intermediate-scale quantum processors.
You can see the logic followed by AMiner Deep Thinking: preliminary investigation, providing article references, but not simply giving us references.
Afterward, AMiner Deep Thinking can actuallystart thinking and self-reflecting through the references it provided itself, proactively helping usclarify the differences between some academic concepts and improve the accuracy of literature references。
You can see that during the thinking process it alsoautomatically excludes distracting items, great, anyone who has been scolded by a supervisor knows that not every article can be called literature.
It helped us exclude .docx files. This is very likely a student paper (that is, freshly written garbage personally written by senior students), which obviously has very low reference value, and it can also notice details such as Chinese and English in the reference articles,and proactively search for keywords related to the research topic。
Furthermore, itwill also use the article text format to exclude non-authoritative publications and content from articles with low credibility。
When it finds the answer, Deep Thinking will not immediately throw it to us; it actuallywill self-verify once more, which can be said to be very much in the rigorous style of a scholar.
But to be sure, I should look for some specific papers or results that directly discuss implementing quantum machine learning on NISQ processors. Let me try to find some specific examples or successful cases. After continuous argumentation, it was finally possible to determine his final answer.Therefore, I can cite this review as the main reference.
In view of this, I believe I am ready to write my final answer.
Prompt: Keywords in the frontier field of proteases.
Just when I thought Deep Thinking was over, AMiner Deep Thinking began to output a complete literature review report.
Well well, it even saves us the trouble of piecing together an article (though not doing it by hand makes it feel a bit less hands-on).
A complete process demonstration.
Of course, it doesn't stop there. AMiner Deep Thought can also let a novice start researching a field from scratch.
02. Advanced usage Researching an unfamiliar field from scratch
Suppose you are a novice who has just joined a lab, you know nothing, and unfortunately your advisor believes in a hands-off approach—rather than looking for your busy, balding senior labmates, you might as well turn to AMiner Deep Thought.
The example we use here is the protease field, which most people have never even heard of. So as a novice, how should you research it? First, use AMiner Deep Thought to look at keywords in the related field.
Prompt: Keywords in the frontier field of proteases.
It initially found some vague directions for us:
With further confirmation, we can see that in the future direction search, it finds AI-designed proteases.
Finally, AMiner Deep Thought extracted the top keywords in the frontier field for us.
Machine learning enzyme engineering looks good, so use this keyword and ask AMiner Deep Thought.
Prompt: Topic recommendations for machine learning enzyme engineering that are innovative and feasible.
As you can see, it summarized some attractive topics for us, but we did not tell AMiner Deep Thought our academic background, so it assumed we are interested in general applications.
In addition to innovation and attractiveness, verifying feasibility is also very important.
This determines whether our research can proceed smoothly. AMiner Deep Thought can also make a preliminary judgment of a topic's feasibility for us.
In the final answer, it not only gives us specific topics, but also makes a simple prediction of the topics' potential outcomes, and thoughtfully recommends each specific potential research question or subtopic that can be studied.
For a novice, it already counts as being led through the door by AMiner Deep Thought, this cyber advisor. Do you think that's all?
It's more than that...
03. High-level usage Formulating a complete research plan and experimental plan
For those of you who struggle with research, mere literature search and review, or investigating researchable topics and feasibility analysis, is no longer enough to bluff your advisor.
Don't be afraid—just input your topic and ask AMiner Deep Thought to design a research plan for you, and a research plan outline comes pouring out.
Prompt: Machine learning applications for optimizing enzyme thermostability, break down the research objectives, formulate a research plan, carry out experimental design, and make hypotheses about the results.
As you can see, a complete research plan outline is output. If you further improve it and fill in the corresponding experimental data, it can be used as a draft of a paper. Of course, in the end you still need to verify it item by item yourself.
04. Some sharing
AMiner Deep Thought is a "super buff" for research, freeing us from tedious literature collection work and greatly improving research efficiency.
It is also a research assistant on standby at any time,providing us with accurate and efficient auxiliary support.。
But no matter how powerful AI is, it cannot replace us in thinking about research directions that have never appeared before.
In the end, it also cannot replace us in stepping onto the defense stage to face rounds of questioning.
There are more and more AIs as smart as AMiner's contemplation, but everyone still needs to maintain the habit of loving to think, and not let AI truly replace you.
Original link:Must-have AI tools for students, free and authoritative databases, incredibly powerful!