Weekly Data Science – AI/ML News – 20th September

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How Artificial Intelligence Can Improve Your Pay-Per-Click Ad Efforts:

Improving your PPC efforts is much easier when you implement A.I. in your strategy. Because of this, humans are still highly involved in many processes when creating campaigns. Data is only possible if people know what they can do and have clear objectives in place. Also, businesses need to remember how important personalization is for modern consumers while ensuring ongoing transparency. If you want to succeed, you need to track and monitor the development process. To improve your PPC ads, here’s two ways that A.I. can help: 

  • Adjust PPC Bids Autonomously: When you use A.I. to control your ads, you can adjust your campaigns by making small changes to the code. In the long run, this makes your PPC efforts more effective. By doing this, you won’t bid too low for an ad that will help you generate quality leads. It will also help you improve your overall return on investment by eliminating overbidding.
  • Improve Retargeting: It’s possible to use A.I. powered analytics and call tracking software to understand the connection between leads gathered by your offline efforts and set campaigns, and in some cases, even your keywords. When you analyze data based on offline conversions, it’s possible to improve your retargeting efforts.


Deep learning helps predict new drug combinations to fight Covid-19:

The threat of Covid-19 has highlighted the need to develop working therapeutics against emerging health concerns. Deep learning has afforded us the ability to modify the scenario— as long as we can keep up with the viral threat, and access the right data. Data scientists use deep learning to pick out drug combinations with large existing datasets for things like cancer and cardiovascular disease. However, it is understood that they can’t be used for new illnesses with limited data. Two new drug combinations were found using this approach: remdesivir (currently approved by the FDA to treat Covid-19) and reserpine, as well as remdesivir and IQ-1S, which, in biological assays, proved powerful against the virus.


‘Chilling’: Facial recognition firm Clearview AI hits watchdog groups with subpoenas:

Clearview AI, the controversial facial recognition company that scrapes public images from social media to aid law enforcement probes, has subpoenaed internal documents from some of the groups that first exposed its activities.

The firm served subpoenas in August to civil society coalition Open The Government, its policy analyst Freddy Martinez and the police accountability nonprofit that he’d previously founded, Lucy Parsons Labs — demanding any correspondence they’d had with journalists about Clearview and its leaders, as well as information they’d uncovered about the company and its founders in public records requests, over the last four years.


Could NASA’s AI platform for space exploration improve officer safety?:

Estimated emergency vehicle accidents in the United States cost $35 billion annually, and fatalities caused by collisions are 4.8 times higher for emergency responders than the national average. To provide solutions, JPL conducted a project funded by the US Department of Transportation National Highway Traffic Safety Administration to study technology for improving the safety of first responder and roadside crews in and around active traffic. This resulted in the creation of the Trusted and Explainable Police Artificial Intelligence (TruePAL) AI assistant, which provides real-time warnings of risks by analyzing the environment and traffic patterns to generate a timely warning to drivers and roadside crews to avoid crashes.

The TruePAL team comprised members from NASA’s JPL, Temple University and the Miami Dade (Florida) Police Department and was conducted in two phases. To develop AI responses within the TruePAL system, JPL developed computer models, using the CARLA driving simulator, of several common scenarios that may place vehicles and crews at risk. These were:

  • Intersection safety
  • Roadside safety
  • Hazard Sign ID
  • First aid assistant
  • Electric vehicle guide


The Coca-Cola Company : and SAP Announce a Partnership with the Atlanta University Center Data Science Initiative to Impact 9,000 Students:

The Coca-Cola Company and SAP announce a partnership that will feature a virtual computer lab and offer internships in a multi-year phased approach. The Initiative is housed in the Atlanta University Center (AUC) Consortium, Inc. This joint program will engage with the AUC Robert W. Woodruff Library to develop the AUC Virtual Computer Lab that will be available to all students, faculty, and researchers at AUC member institutions that are historically black colleges and universities: Clark Atlanta University, Morehouse College, Morehouse School of Medicine and Spelman College.

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