diff --git a/README.md b/README.md
index 01b6d47..1760c19 100644
--- a/README.md
+++ b/README.md
@@ -245,7 +245,7 @@ using CUDArt
 export function1
 
 const ptxdict = Dict()
-const mdlist = Array(CuModule, 0)
+const mdlist = Array{CuModule}(0)
 
 function mdinit(devlist)
     global ptxdict
@@ -317,7 +317,7 @@ demonstration that activates processing on multiple devices:
 ```
 measured_sleep_time = CUDArt.devices(dev->true, nmax=2) do devlist
     sleeptime = 0.5
-    results = Array(Float64, 3*length(devlist))
+    results = Array{Float64}(3*length(devlist))
     streams = [(device(dev); Stream()) for dev in devlist]
     # Force one run to precompile
     cudasleep(sleeptime; dev=devlist[1], stream=streams[1])
diff --git a/src/arrays.jl b/src/arrays.jl
index 7dcae34..e52f82f 100644
--- a/src/arrays.jl
+++ b/src/arrays.jl
@@ -86,7 +86,7 @@ device(A::AbstractArray) = -1  # for host
 
 pointer(g::AbstractCudaArray) = g.ptr
 
-to_host{T}(g::AbstractCudaArray{T}) = copy!(Array(T, size(g)), g)
+to_host{T}(g::AbstractCudaArray{T}) = copy!(Array{T}(size(g)), g)
 
 summary(g::AbstractCudaArray) = string(g)
 
@@ -160,7 +160,7 @@ function _copy!{T}(dst::ContiguousArray{T}, src::ContiguousArray{T}, stream)
     return dst
 end
 _copy!{T}(dst::ContiguousArray{T}, src::ContiguousArray, stream) = _copy!(dst, to_eltype(T, src), stream)
-_copy!{T}(dst::AbstractCudaArray{T}, src, stream) = _copy!(dst, copy!(Array(T, size(src)), src), stream)
+_copy!{T}(dst::AbstractCudaArray{T}, src, stream) = _copy!(dst, copy!(Array{T}(size(src)), src), stream)
 
 function fill!{T}(X::CudaArray{T}, val; stream=null_stream)
     valT = convert(T, val)
@@ -181,7 +181,7 @@ CudaPitchedArray(T::Type, dims::Integer...) = CudaPitchedArray(T, dims)
 function CudaPitchedArray(T::Type, dims::Dims)
     nd = length(dims)
     1 <= nd <= 3 || error("Supports only dimensions 1, 2, or 3")
-    p = Array(rt.cudaPitchedPtr, 1)
+    p = Array{rt.cudaPitchedPtr}(1)
     ext = CudaExtent(T, dims)
     rt.cudaMalloc3D(p, ext)
     pp = p[1]
@@ -402,7 +402,7 @@ function free(ha::HostArray)
     if ha.ptr != C_NULL && haskey(cuda_ptrs, ha.ptr)
         rt.cudaFreeHost(ha.ptr)
         ha.ptr = C_NULL
-        ha.data = Array(eltype(ha), ntuple(d->0, ndims(ha)))
+        ha.data = Array{eltype(ha)}(ntuple(d->0, ndims(ha)))
     end
 end
 
diff --git a/src/device.jl b/src/device.jl
index 0504eb7..dbaf658 100644
--- a/src/device.jl
+++ b/src/device.jl
@@ -27,7 +27,7 @@ end
 
 device_synchronize() = rt.cudaDeviceSynchronize()
 
-device_properties(dev::Integer) = (aprop = Array(rt.cudaDeviceProp, 1); rt.cudaGetDeviceProperties(aprop, dev); aprop[1])
+device_properties(dev::Integer) = (aprop = Array{rt.cudaDeviceProp}(1); rt.cudaGetDeviceProperties(aprop, dev); aprop[1])
 
 attribute(dev::Integer, code::Integer) = (ret = Cint[0]; rt.cudaDeviceGetAttribute(ret, code, dev); Int(ret[1]))
 
diff --git a/src/stream.jl b/src/stream.jl
index d18ce83..8d778e1 100644
--- a/src/stream.jl
+++ b/src/stream.jl
@@ -11,7 +11,7 @@ type Stream <: AbstractStream
     c::Condition
 end
 function Stream()
-    p = Array(Ptr{Void}, 1)
+    p = Array{Ptr{Void}}(1)
     rt.cudaStreamCreate(p)
     hnd = CuStream(p[1])
     Stream(hnd, Condition())
diff --git a/test/test.jl b/test/test.jl
index 53f104b..23bd45d 100644
--- a/test/test.jl
+++ b/test/test.jl
@@ -163,7 +163,7 @@ gc()  # check for finalizer errors
 if CUDArt.devcount() > 1
     CUDArt.devices(dev->true, nmax=2) do devlist
         sleeptime = 0.5
-        results = Array(Any, ceil(Int, 2.5*length(devlist)))
+        results = Array{Any}(ceil(Int, 2.5*length(devlist)))
         streams = [(CUDArt.device(dev); CUDArt.Stream()) for dev in devlist]
         # Force one run to precompile
         CUDArt.cudasleep(sleeptime; dev=devlist[1], stream=streams[1])