SLAS TECHNOLOGY,
Journal Year:
2024,
Volume and Issue:
29(6), P. 100214 - 100214
Published: Oct. 31, 2024
In
the
last
decades,
robotic
cultivation
facilities
combined
with
automated
execution
of
workflows
have
drastically
increased
speed
research
in
biotechnology.
this
work,
we
present
design
and
deployment
a
digital
infrastructure
for
platforms.
We
implement
Workflow
Management
System,
using
Directed
Acyclic
Graphs,
based
on
open-source
platform
Apache
Airflow
to
increase
traceability
experiments.
demonstrate
integration
automation
experimental
laboratory
environment
heterogeneous
device
landscape
including
liquid
handling
stations,
parallel
systems,
mobile
robots.
The
feasibility
our
approach
is
assessed
E.
coli
fed-batch
cultivations
glucose
oscillations
which
different
elastin-like
proteins
are
produced.
show
that
use
workflow
management
systems
platforms
increases
automation,
robustness
data.
Journal of Creativity,
Journal Year:
2023,
Volume and Issue:
33(3), P. 100063 - 100063
Published: Aug. 25, 2023
This
article
(a)
draws
from
various
theories
of
creativity
(e.g.,
4P
and
6P
theories)
(b)
uses
several
concepts
the
literature
self-actualization,
emergence)
to
evaluate
claim
that
AI
can
be
creative.
approach
suggests
that,
at
most,
output
represents
products
which,
although
lacking,
may
attributed
with
creativity.
Such
attributions
are
often
mistaken,
and,
significantly,
say
little
about
underlying
process.
Indeed,
criticisms
previously
leveled
view
social
recognition
is
required
also
apply
output.
Several
examples
overt
actions
have
been
mistakenly
discussed.
The
most
telling
these
ostensible
emergence
by
a
machine.
conclusion
it
makes
no
sense
refer
“creative
AI.”
One
alternative
extend
concept
"artificial
intelligence"
creativity,
which
gives
us
creativity"
as
label
for
what
computers
do.
Artificial
original
effective
but
lacks
things
characterize
human
Thus
accurate
recognize
kind
pseudo-creativity.
Digital Discovery,
Journal Year:
2024,
Volume and Issue:
3(4), P. 621 - 636
Published: Jan. 1, 2024
Self-driving
laboratories
(SDLs)
are
the
future
for
scientific
discovery
in
a
world
growing
with
artificial
intelligence.
The
interaction
between
scientists
and
automated
instrumentation
leading
conversations
about
impact
of
SDLs
on
research.
Globalization and Health,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: May 21, 2024
The
advancement
of
artificial
intelligence
(AI),
algorithm
optimization
and
high-throughput
experiments
has
enabled
scientists
to
accelerate
the
discovery
new
chemicals
materials
with
unprecedented
efficiency,
resilience
precision.
Over
recent
years,
so-called
autonomous
experimentation
(AE)
systems
are
featured
as
key
AI
innovation
enhance
research
development
(R&D).
Also
known
self-driving
laboratories
or
acceleration
platforms,
AE
digital
platforms
capable
running
a
large
number
autonomously.
Those
rapidly
impacting
biomedical
clinical
innovation,
in
areas
such
drug
discovery,
nanomedicine,
precision
oncology,
others.
As
it
is
expected
that
will
impact
healthcare
from
local
global
levels,
its
implications
for
science
technology
emerging
economies
should
be
examined.
By
examining
increasing
relevance
contemporary
R&D
activities,
this
article
aims
explore
health
highlighting
implications,
challenges
opportunities
economies.
presents
an
opportunity
stakeholders
co-produce
knowledge
landscape
health.
However,
asymmetries
capabilities
acknowledged
since
suffers
inadequacies
discontinuities
resources
funding.
establishment
decentralized
infrastructures
could
support
overcome
restrictions
opens
venues
more
culturally
diverse,
equitable,
trustworthy
health-related
through
meaningful
partnerships
engagement.
Collaborations
innovators
facilitate
anticipation
fiscal
pressures
policies,
obsolescence
infrastructures,
ethical
regulatory
policy
lag,
other
issues
present
Global
South.
Also,
improving
cultural
geographical
representativeness
contributes
foster
diffusion
acceptance
worldwide.
Institutional
preparedness
critical
enable
navigate
coming
years.
Journal of Creativity,
Journal Year:
2024,
Volume and Issue:
34(2), P. 100077 - 100077
Published: Feb. 8, 2024
We
present
a
high-level
architecture
for
how
artificial
intelligences
might
advance
and
accumulate
scientific
technological
knowledge,
inspired
by
emerging
perspectives
on
human
such
knowledge.
Agents
knowledge
exercising
technoscientific
method—an
interacting
combination
of
engineering
methods.
The
method
maximizes
quantity
we
call
"useful
learning"
via
more-creative
implausible
utility
(including
the
"aha!"
moments
discovery),
as
well
less-creative
plausible
utility.
Society
accumulates
advanced
agents
so
that
other
can
incorporate
build
to
make
further
advances.
proposed
is
challenging
but
potentially
complete:
its
execution
in
principle
enable
an
equivalent
full
range
ACS Sustainable Chemistry & Engineering,
Journal Year:
2024,
Volume and Issue:
12(34), P. 12695 - 12707
Published: Aug. 6, 2024
The
accelerating
depletion
of
natural
resources
undoubtedly
demands
a
radical
reevaluation
research
practices
addressing
the
escalating
climate
crisis.
From
traditional
approaches
to
modern-day
advancements,
integration
automation
and
artificial
intelligence
(AI)-guided
decision-making
has
emerged
as
transformative
route
in
shaping
new
methodologies.
Harnessing
robotics
high-throughput
alongside
intelligent
experimental
design,
self-driving
laboratories
(SDLs)
offer
an
innovative
solution
expedite
chemical/materials
timelines
while
significantly
reducing
carbon
footprint
scientific
endeavors,
which
could
be
utilized
not
only
generate
green
materials
but
also
make
process
itself
more
sustainable.
In
this
Perspective,
we
examine
potential
SDLs
driving
sustainability
forward
through
case
studies
discovery
optimization,
thereby
paving
way
for
greener
efficient
future.
While
hold
immense
promise,
discuss
challenges
that
persist
their
development
deployment,
necessitating
holistic
approach
both
design
implementation.
Advanced Healthcare Materials,
Journal Year:
2024,
Volume and Issue:
13(29)
Published: Aug. 18, 2024
Abstract
Over
the
last
four
decades,
pharmaceutical
companies’
expenditures
on
research
and
development
have
increased
51‐fold.
During
this
same
time,
clinical
success
rates
for
new
drugs
remained
unchanged
at
about
10
percent,
predominantly
due
to
lack
of
efficacy
and/or
safety
concerns.
This
persistent
problem
underscores
need
innovate
across
entire
drug
process,
particularly
in
formulation,
which
is
often
deprioritized
under‐resourced.
The Journal of Physical Chemistry A,
Journal Year:
2024,
Volume and Issue:
128(10), P. 1948 - 1957
Published: Feb. 28, 2024
Accurate
classification
of
molecular
chemical
motifs
from
experimental
measurement
is
an
important
problem
in
physics,
chemistry,
and
biology.
In
this
work,
we
present
neural
network
ensemble
classifiers
for
predicting
the
presence
(or
lack
thereof)
41
different
on
small
molecules
simulated
C,
N,
O
K-edge
X-ray
absorption
near-edge
structure
(XANES)
spectra.
Our
not
only
achieve
class-balanced
accuracies
more
than
0.95
but
also
accurately
quantify
uncertainty.
We
show
that
including
multiple
XANES
modalities
improves
predictions
notably
average,
demonstrating
a
"multimodal
advantage"
over
any
single
modality.
addition
to
refinement,
our
approach
can
be
generalized
broad
applications
with
design
pipelines.
Computers & Chemical Engineering,
Journal Year:
2024,
Volume and Issue:
187, P. 108720 - 108720
Published: May 9, 2024
To
foster
self-driving
experimentation
and
address
the
reproducibility
crisis
in
bioprocess
development
a
collaborative
environment,
modular
Workflow
Management
System
(WMS)
is
required.
In
this
work,
WMS
based
on
Directed
Acyclic
Graphs
that
offers
flexible
design
for
plug-and-play
integration
of
computational
tools
presented.
A
case
study
used
to
demonstrate
implementation
robotic
experimental
facilities
promotes
application
Findable,
Accessible,
Interoperable
Re-usable
principles,
allowing
researchers
readily
share
protocols,
models,
methods
data.
As
proof
concept,
we
integrated
three
different
workflows
online
re-design
feeding
rates
24
parallel
E.
coli
fed-batch
cultivations
producing
elastin-like
proteins.
This
approach
provides
solid
foundation
increasing
scientific
data
generation
facilities,
fostering
open
collaboration,
addressing
challenges
research.
Digital Discovery,
Journal Year:
2024,
Volume and Issue:
3(7), P. 1273 - 1279
Published: Jan. 1, 2024
We
share
the
results
of
a
survey
on
automation
and
autonomy
in
materials
science
labs,
which
highlight
variety
researcher
challenges
motivations.
also
propose
framework
for
levels
laboratory
from
L0
to
L5.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(44)
Published: Aug. 16, 2024
Automation
is
vital
to
accelerating
research.
In
recent
years,
the
application
of
self-driving
labs
materials
discovery
and
device
optimization
has
highlighted
many
benefits
challenges
inherent
these
new
technologies.
Successful
automated
workflows
offer
tangible
fundamental
science
industrial
scale-up
by
significantly
increasing
productivity
reproducibility
all
while
enabling
entirely
types
experiments.
However,
it's
implemtation
often
time-consuming
cost-prohibitive
necessitates
establishing
multidisciplinary
teams
that
bring
together
domain-specific
knowledge
with
specific
skillsets
in
computer
engineering.
This
perspective
article
provides
a
comprehensive
overview
how
research
group
adopted
"hybrid
automation"
over
last
8
years
using
simple
automatic
electrical
testers
(autotesters)
as
tool
increase
enhance
organic
thin
film
transistor
(OTFT)
From
wearable
stretchable
electronics
next-generation
sensors
displays,
OTFTs
have
potential
be
key
technology
will
enable
applications
from
health
aerospace.
The
combination
chemistry,
manufacturing,
characterization
engineering
makes
OTFT
challenging
due
large
parameter
space
created
both
diverse
material
roles
architectures.
Consequently,
this
stands
benefit
enormously
automation.
By
leveraging
team
taking
user-centered
design
approach
continued
improvement
autotesters,
meaningfully
increased
productivity,
explored
avenues
impossible
traditional
workflows,
developed
scientists
engineers
capable
effectively
designing
automation
build
future
their
fields
encourage
approach,
files
for
replicating
infrastructure
are
included,
questions
collaborations
welcomed.
