Artificial Intelligence
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions
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The Current State of Self-Driving TechnologyThe advances of technology in our world have continued to increase and
self-driving cars are the next logical step for our society. This poses a
fundamental question: do we know how safe autonomous vehicles can be?
SAE International is an organization who describes a categorization for "levels
of driving automation". It defines six levels of automation for cars, ranging
from Level 0 (no driving automation) to Level 5 (full automation), transitioning
gradually from "driver support features" to "
Adriano MarquesOctober 30, 2020
Ranking labs-of-origin for genetically engineered DNA using Metric LearningWith the constant advancements of genetic engineering, a common concern is to be
able to identify the lab-of-origin of genetically engineered DNA sequences. For
that reason, AltLabs has hosted the Genetic Engineering Attribution Challenge to
gather many teams to propose new tools to solve this problem. Here we show our
proposed method that aims to rank the most likely labs-of-origin and generate
embeddings for DNA sequences and labs. These embeddings can also be used to
perform various other tas
Fernando CamargoOctober 23, 2020
7 common mistakes of a machine learning beginner
In recent years, the term Artificial Intelligence has gained strength and
together with it have emerged some professions such as Data Scientist and
Machine Learning Engineer. Knowing and applying machine learning is attractive
and appears to be the path to success. However this path can be troubled and
especially discouraging for those who are just starting out. Over the years
working as a Data Scientist and Machine Learning Researcher, I have witnessed
several common mistakes that made life di
Igor MunizOctober 15, 2020
AI Infrastructure Alternatives for your BusinessWith cloud offerings becoming more abundant and diverse, cloud infrastructure
seems to offer a much cheaper and simpler alternative to an on-premises data
center. Many organizations, that need Artificial Intelligence to help with
decision-making, problem-solving, etc. face a complicated decision: what is the
best infrastructure deployment for AI workloads?
Generally speaking, there are three possible deployment options. You can run
your AI on-premises in your own datacenter, rent some space at
Adriano MarquesOctober 13, 2020
What Kind of AI Infrastructure is Best for my Business?In this week's Exponential Chats, some of the team members responsible for
Amalgam's development will have a chat about the various infrastructure
alternatives available when it comes to training and deployment of Artificial
Intelligence models. Between Cloud, Colocation, and On-Premise which one would
you say is the best infrastructure for your AI needs? Come join us and
participate by asking questions or giving your opinion in the live chat.
- Adriano Marques is the founder and CEO of Exponen
Adriano MarquesSeptember 30, 2020
The Eight Challenges You'll Face With On-Premise Artificial Intelligence
As glamorous as it is to have your own Artificial Intelligence Optimized
On-Premise Data Center, it doesn't come easy. It is absolutelly true that if
done right it boasts much better performance and much lower costs than resorting
to the cloud or even using co-location to perform your processing workload when
creating AI driven solutions. However, most people are not aware of what really
makes an AI Optimized Data Center and end up building an expensive half-baked
solution that can't perform o
Adriano MarquesSeptember 18, 2020
A few potential uses (and misuses) for GPT-3GPT-3 is a 175 billion parameter autoregressive language model by OpenAI
released in May 2020. It is a deep learning system that takes input in the form
of human readable language and produces human readable output.
The OpenAI team tested GPT-3 in Few-shot learning mode. The model is given a
verbal description of the task and a few examples of context and completion at
inference time. Then the machine is given another instance of context and
expected to provide the completion. Two variations of
Adriano MarquesAugust 11, 2020