Add SciPy elementwise functions poster

presentations/posters/scipy_elementwise/info.json

@@ -0,0 +1,21 @@
+{
+    "authors": [
+        {
+            "name": "Matt Haberland",
+            "affiliation": "Cal Poly, San Luis Obispo",
+            "orcid": "0000-0003-4806-3601"
+        },
+        {
+            "name": "Albert Steppi",
+            "affiliation": "Quansight Labs",
+            "orcid": "0000-0001-5871-6245"
+        },
+        {
+            "name": "Pamphile Roy",
+            "affiliation": "Consulting Manao GMBH",
+            "orcid": "0000-0001-9816-1416"
+        }
+    ],
+    "title": "Vectorized Quadrature, Series Summation, Differentiation, Optimization, and Rootfinding in SciPy",
+    "description": "Until recently, SciPy’s best options for scalar quadrature, minimization, and root finding called compiled code, which could not take advantage of a vectorized Python integrand, objective function, or residual function; SciPy offered no functions for accurate numerical differentiation or series summation. These gaps are being filled with a family of pure-Python, array API compatible functions for dramatically faster vectorized calculation of scalar integrals, infinite sums, derivatives, minimizers, and roots."
+}