The 8 Most Useful HOTTEST PhD AI Tools | Essential PhD Student Tools

There are hundreds of AI tools that are

better than chatbt. Especially if you

are a researcher, PhD student, or

someone who's just looking for something

different that you can use ethically to

find literature, to understand

literature, to write research papers,

and to just be a better researcher

overall. I have tested tons and tons of

them over the past two to three years.

And in today's video, I'm going to be

going through the top seven AI tools

that you need to be using if you are a

PhD student or researcher. The first is

Lit

Maps. Lit Maps is one that I have played

around with quite a bit in the past and

again I have I'm pretty sure shared with

you here on YouTube. Now Lit Maps is a

platform that is something that you

would use when you're really trying to

find literature especially in the early

days of your PhD and you want to try to

find some literature and try to identify

good research papers for your topic that

you should read. This is a good tool to

use. So you can input your uh research

question or your topic and you'll get a

list of research papers that can be

connected in some way and it presents it

to you in this connected format. And I

really like the user friendliness of it.

I think it's a really cool tool to look

at and to use and it provides you with a

good background and a good foundation

for research papers that you should be

reading. You can also like label them,

tag them, add them to certain folders,

which I find not many tools do very

well. So, it's quite nice that you can

do this with lit maps. And even over

time, if there are new related articles

that haven't you haven't read before or

are not as part of your graph, lit maps

will say to you there is something new

that you haven't read yet or that you

could add to your graph. And it does add

it into your graph. It's really able to

be tailored quite quite a lot. It just

looks good. And I think you can even add

this into a method or into figure that

you're using in your research paper. The

second is

consensus. And again, I've mentioned

consensus quite a lot in the past. It's

a really good AI search engines. If

you're a PhD student and you're just

starting off in the lab and you want to

find research papers that are relevant

to you or you want a good overall answer

for your research question based on the

papers available today, this would be a

good tool. So let's say for example your

research question is something to do

with blue light and autophagy. You can

ask a question like uh does blue light

impact uh autophagy across cell types

and it will say yes or no or it will say

yes a little bit no a little bit and

maybe a little bit because some papers

are not uh don't have kind of definitive

um a definitive answer. And I think this

is good because it just means that when

you're starting to read, you understand

what the research is saying. You already

know what the answer to your research

question could be. And I definitely

think that it's a lovely way of getting

a quick snapshot of your research. Um,

and uh, yeah, I do quite like Consensus

for that initial finding literature step

as well. The third is Sciace. So now

that you found your literature, you can

go into SciPace again to create like a

bit of a literature library or a bit of

a like graph or a bit of a column.

Sci-pace creates a table of literature

for you that you can export and that

gives you columns that include different

things and characteristics about that

research paper. For example, you can

have a column that's about the methods

or you can have a column about the

results or the limitations about the

paper and then you can go ahead and ask

questions about each paper on size

itself. I find that it's a bit of a

allin-one tool. So you can ask questions

and then you can find papers, add it to

your library, cite it, but then also ask

questions about that PDF. So if you

don't know, if you want to find a

summary of that PDF or if you want to

ask a specific question about that PDF,

you can do in Cypace. Next one is

Anara used to be called Unriddle. And as

I mentioned, it's a great tool for

trying to understand research papers. I

just love how userfriendly it is. you

have the research paper on one panel.

You can then ask questions in the middle

panel in the chat and then you can then

look at your annotations and any labels

that you have made in the last panel.

And this is a brand new feature that

they've just released not too long ago,

I think last month or so. Or you can get

rid of each of the panels and you can

just have one large panel or two half

panels in the page. It's a great tool

for understanding your research papers

and being able to quickly find

information about the research paper

within the research paper without

hallucinations or anything of the

matter. The next one is Notebook

LM. This one is Notebook LM. I've

started to play around with Notebook

quite a bit over the last couple of

months. I didn't draw to it initially,

but now I really, really enjoy using it.

It's a great way of discovering sources,

but also uploading your own sources. So

in this case, I've just used some random

sources for the purpose of this video,

but I've selected these sources. There's

10 sources here. I've imported them. You

could do the same for your sources. It

could be a video. It could be a PDF. It

could be a YouTube video or a page or

website, whatever it is. But the premise

is that you have sources and you then

ask questions or interrogate these

sources. So what I've done here is I've

created a mind map and you can get a

mind map of what the understanding and

the research area and how it joins up

together. You can get like a really nice

mind map for that. You can also get a

deep dive conversation where there are

two hosts and they speak about the all

of the sources that you've added as a

conversation or you can just ask general

questions about the sources. I just

think it's a really good tool as a PhD

student if you have got loads of sources

and you want to get information about a

bunch of them. this would be really

useful. Then Julius

AI, it's one of the only AI data

analysis tools out there and you can do

a few things with the data here. So you

can visualize your data, you can clean

it up, you can do different tests like

ANOVA, t test, any stat, you can do any

statistical tests here. You can also

create graphs and I'll show you

something that I've done in the past. So

here I have some data that I have

created uh tables for. I've made graphs

for and I've just been able to generate

lots of visual kind of understanding and

visual processes through this data and I

just think I just think it's really

cool. It makes the whole process a lot

quicker and speeds it up and provides

you with a platform that you can very

easily do this. So I want to recommend

Jenny. I've spoken about Jenny AI so

many times in this platform. Jenny is an

AI writing tool. With this, what you can

do is very easily write and site and

find research papers, link it to your

library, and hopefully kind of bring

everything together when it comes to the

writing aspect of research. So here I've

added a citation very easily. I can

change citation using the settings. I

can then highlight text. I can chat to

text and ask questions about certain

parts of the text. I can also do an AI

edit. So I can for example improve the

writing, the fluency, paraphrase it,

simplify it, make it longer, translate

it. I can also just change the citation

style and also do things like

autocomplete. And I think it's just a

nice allrounder that helps you with

writing. And last but not least, you

have

PayPal. I've used PayPal so much before,

so it's just nice to be able to bring it

to you in this roundup. So, PayPal is

again an AI writing tool that helps you

with improving and enhancing your

productivity when it comes to AI, when

it comes to academic writing. And here

I've got a bit of text I've written. And

what you can do is there's a few

different kind of functionalities. So,

firstly, you can obviously do a spell

check and you can get everything checked

in terms of like your language and

fluency. But then you can also do other

things like paraphrasing, making

academic, simplifying, trim, change the

tone, uh synonyms and things like that.

I can then also ask questions and try to

do a bit of research and citing and

writing at the same time. So if I have a

question, I can ask PayPal and it will

give me an answer, but it'll also give

me research papers to do with that

particular answer. So I don't have to go

onto Google Scholar or go on to another

tool to find research papers. I can just

find something quickly there. You can

also there's also templates. templates

for writing the title, like getting

summaries, emails, and things like that.

And then this is what I really like.

There's an AI review in the checks. I

can ask a question like, how can I

strengthen my introduction? How can I

improve my conclusion? How can I be more

critical? And it gives me a full

breakdown of how I can do that. And then

last but not least, it has a chat PDF

function, which again is relatively new.

And I can upload any PDF and ask any

question about the PDF. So, all of these

tools I've mentioned today, the

capabilities are growing every single

day. Every time I go on to them to test

them out, I'm like, "Oh, this is a new

feature. This is this is really cool."

And it's growing so much every day. But

these are the seven tools I would

recommend if you're a beginner and

you're thinking about using AI for the

first time. If you have any questions

about any of them or you want me to give

you a tutorial about any of the ones

I've mentioned, then please let me know.

And if not, then I'll see you in the

next video. Bye.