diff --git a/artiq/compiler/embedding.py b/artiq/compiler/embedding.py
index b3f9c6d98..fe197d81b 100644
--- a/artiq/compiler/embedding.py
+++ b/artiq/compiler/embedding.py
@@ -167,10 +167,10 @@ class ASTSynthesizer:
             coerced = bool(value)
             return asttyped.NameConstantT(value=coerced, type=typ,
                                           loc=self._add(repr(coerced)))
-        elif value is numpy.float:
+        elif value is float:
             typ = builtins.fn_float()
             return asttyped.NameConstantT(value=None, type=typ,
-                                          loc=self._add("numpy.float"))
+                                          loc=self._add("float"))
         elif value is numpy.int32:
             typ = builtins.fn_int32()
             return asttyped.NameConstantT(value=None, type=typ,
diff --git a/artiq/test/coredevice/test_numpy.py b/artiq/test/coredevice/test_numpy.py
index 54c63fb83..7fe56f265 100644
--- a/artiq/test/coredevice/test_numpy.py
+++ b/artiq/test/coredevice/test_numpy.py
@@ -72,13 +72,13 @@ class CompareHostDeviceTest(ExperimentCase):
         # randomised tests instead.
         # TODO: Provoke overflows, division by zero, etc., and compare results.
         args = [(typ(a), typ(b)) for a, b in [(0, 1), (3, 2), (11, 6)]
-                for typ in [numpy.int32, numpy.int64, numpy.float]]
+                for typ in [numpy.int32, numpy.int64, numpy.float64]]
         for op in ELEM_WISE_BINOPS:
             for arg in args:
                 self._test_binop("a" + op + "b", *arg)
 
     def test_scalar_matrix_binops(self):
-        for typ in [numpy.int32, numpy.int64, numpy.float]:
+        for typ in [numpy.int32, numpy.int64, numpy.float64]:
             scalar = typ(3)
             matrix = numpy.array([[4, 5, 6], [7, 8, 9]], dtype=typ)
             for op in ELEM_WISE_BINOPS:
@@ -88,7 +88,7 @@ class CompareHostDeviceTest(ExperimentCase):
                 self._test_binop(code, matrix, matrix)
 
     def test_matrix_mult(self):
-        for typ in [numpy.int32, numpy.int64, numpy.float]:
+        for typ in [numpy.int32, numpy.int64, numpy.float64]:
             mat_a = numpy.array([[1, 2, 3], [4, 5, 6]], dtype=typ)
             mat_b = numpy.array([[7, 8], [9, 10], [11, 12]], dtype=typ)
             self._test_binop("a @ b", mat_a, mat_b)
@@ -139,7 +139,7 @@ class _MatrixMult(EnvExperiment):
     def build(self):
         self.setattr_device("core")
         self.imat = numpy.arange(4, dtype=numpy.int64).reshape((2, 2))
-        self.fmat = numpy.arange(4, dtype=numpy.float).reshape((2, 2))
+        self.fmat = numpy.arange(4, dtype=numpy.float64).reshape((2, 2))
 
     @kernel
     def run(self):