Phys.OrgMachine learning predicts metabolism, helping drug developers and brewersPhys.OrgMachine learning algorithms that can predict yeast metabolism from its protein content have been developed by scientists at the Francis Crick Institute. The findin…
Phys.OrgMachine learning used for helping farmers select optimal products suited for their operationPhys.OrgRoman Garnett, assistant professor of Computer Science & Engineering in the School of Engineering & Applied Science, has received a $97,…
ZDNetXero expands machine learning features for small businessesZDNetCloud accounting firm cum small business platform Xero has made a handful of announcements on Wednesday, including new machine learning features, an education platform, and simple co…
ForbesHow Artificial Intelligence And Machine Learning Are Revolutionizing Logistics, Supply Chain And TransportationForbesLeading companies are already harnessing artificial intelligence and machine learning to inform and fine-tune core strategies, su…
TOP500 News |
Baidu Launches ‘No-Code’ Tool for Building Machine Learning Models
TOP500 News According to the company’s press release, EZDL is aimed at small and medium-sized businesses that don’t have the kind of software expertise necessary to code machine learning applications, most of which rely on deep learning frameworks like TensorFlow, … |
Phys.OrgThe rise of machine learning in astronomyPhys.OrgThe machine-learning program learns to sort similar images into those labels through a series of steps. These steps are a basic emulation of how human brains recognise patterns. Getting computers…
Forbes |
Why Training Machine Learning With Multitenant Data Produces Better Results
Forbes There is a simple rule with machine learning: The more data available to train the machine, the smarter the machine becomes. I can relate with an example I’m sure is familiar to all of us. Remember iTunes “Smart” Playlists? It was a cool way to give … |
ZDNet |
The AI, machine learning, and data science conundrum: Who will manage the algorithms?
ZDNet Artificial intelligence and machine learning are being adopted into the enterprise at a rapid clip and adoption is likely to surge in 2019. What comes next is the real business challenge: How will we manage technology that we likely don’t understand? |
Design and Reuse (press release) |
Optimizing AI and Machine Learning with eFPGAs
Design and Reuse (press release) The market for artificial intelligence (AI) and machine learning applications has been growing substantially over the last several years. Designers have a tough row to hoe when it comes to satisfying these applications’ seemingly insatiable compute hunger. |
New Open-Source Projects Emerge for Machine LearningDatanamiTwo open-source projects contributed by Chinese tech giants Baidu and Tencent will focus on machine and deep learning advances with the long-term goal of making the AI technologies easier to u…
