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2030’ish: on demand books, movies, TV shows, video games, etc…


In the ever-increasing list of things that machine learning AI can do in our modern world, there’s now a program that will code (or at least, try to code) whatever you tell it to in plain English. Want some flashy banner text that changes color every few seconds? Tell that to OpenAI Codex and it will code it for you in seconds. The OpenAI Codex beta, currently only available through an online waiting list, is a simple web tool with three windows: one to type in commands, one that shows the code generated by those commands, and one that shows what the code does. You could theoretically use Codex for all sorts of tasks in over a dozen coding languages, but the coolest use I’ve seen is coding simple Javascript videogames with just a handful of natural language instructions. Check out the video below from YouTuber Joy of Curiosity to see it in action.

He is geeky, he is smart, he is talented and what not! Talking about one of the leading tech agencies of the world would surely give you a clear picture of whom we are pointing to. It’s the none other than the great Elon Musk who has taken the world of science and technological advancements by storm. And now, we are just a step behind to get startled by his latest innovations of tech startup Neuralink that builds implants to connect human brains with computer interfaces via artificial intelligence.

The US Air Force recently tested a robotic system prototype for aircraft weapon loading at the Barksdale Air Force Base, Louisiana.

The Square One Systems Design, MHU-TSX, uses non-hydraulic actuation making its movements precise, a key advantage over the current weapon hauling systems, the Jackson-based company revealed.

Bob Viola, Square One Systems Design director of engineering, stated that adding a sensor package to the system would make it more autonomous, leaving the personnel only to “supervise what it’s doing, which should make the loading process quicker.”

Reservoir computing is already one of the most advanced and most powerful types of artificial intelligence that scientists have at their disposal – and now a new study outlines how to make it up to a million times faster on certain tasks.

That’s an exciting development when it comes to tackling the most complex computational challenges, from predicting the way the weather is going to turn, to modeling the flow of fluids through a particular space.

Such problems are what this type of resource-intensive computing was developed to take on; now, the latest innovations are going to make it even more useful. The team behind this new study is calling it the next generation of reservoir computing.

Disaster sciences, digital twins & artificial intelligence — craig fugate, chief emergency management officer, one concern.


Mr. Craig Fugate is the former Director of the Florida Division of Emergency Management, and former administrator of the Federal Emergency Management Agency (FEMA — an agency of the United States Department of Homeland Security, whose primary purpose is to coordinate the response to disasters that have occurred in the United States and that overwhelm the resources of local and state authorities.)

Mr. Fugate is currently the Chief Emergency Management Officer of One Concern, (a Resilience-as-a-Service solutions company that brings disaster science together with machine learning for better decision making).

Mr. Fugate is also senior advisor at BlueDot Strategies, where he assists a range of clients with emergency management implementation strategies and crisis communications.

Mr. Fugate serves on the Board of Directors of PG&E Corp., one of the largest electric and natural gas utilities in the U.S., and on the staff at Indian River State College, serving as a strategic consultant in emergency management.

Mr. Fugate has decades of experience at the local, state, and federal levels in disaster preparedness and management. He has also overseen preparation and response efforts for disasters such as wildfires and hurricanes, health crises, and national security threats.

As Florida Director for the Emergency Management Division, Mr. Fugate oversaw the “Big 4 of ‘2004″ (Hurricanes Charley, Frances, Ivan, and Jeanne) and as the Administrator for the Federal Emergency Management Agency, he organized recovery efforts for a record of eighty-seven disasters in 2011.

The NASA VIPER rover – a precursor mission to human landings in the south polar region of the Moon, and a mission started in 2019 under the Commercial Lunar Payload Services program – has had its landing site selected for its 2023 mission. The rover, known as the Volatiles Investigating Polar Exploration Rover, is now scheduled to land west of Nobile Crater in the lunar south polar region sometime in late 2023 after its launch aboard a SpaceX Falcon Heavy rocket.

This mission, costing $660 million, is one of several that will launch to the Moon in the next two years and is notable for being the first NASA rover to launch as a customer aboard a commercial lander.

The golf cart-sized VIPER rover will be mounted onto a Griffin lunar lander built by Astrobotic, a Pittsburgh-based company developing various lunar spacecraft that can carry payloads into lunar orbit or onto the lunar surface. After landing, VIPER will roll out onto the lunar surface with the help of a pair of ramps mounted on the lander and conduct checkouts before starting its surface mission.

It turns out, Mars was always fated for a waterless destiny.

New observations from robotic explorers like NASA’s Perseverance and Curiosity have revealed much about the ancient past of the Red Planet, where liquid water flowed throughout the planet’s surface. It used to have lakes, streams, rivers, and perhaps even a colossal ocean stretching around the horizon of Mars’ northern hemisphere. For decades, scientists have thought the weakening of the Martian magnetic field enabled charged particles from the sun to strip away the atmosphere, literally blowing away the bodies of water.

But a deeper, more primary cause for the move from wetness has come to light: Mars was always too small to retain its surface water forever, according to a new study published in the journal Proceedings of the National Academy of Sciences.

Circa 2021


A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime. The number and forms of criminal activities are increasing at an alarming rate, forcing agencies to develop efficient methods to take preventive measures. In the current scenario of rapidly increasing crime, traditional crime-solving techniques are unable to deliver results, being slow paced and less efficient. Thus, if we can come up with ways to predict crime, in detail, before it occurs, or come up with a “machine” that can assist police officers, it would lift the burden of police and help in preventing crimes. To achieve this, we suggest including machine learning (ML) and computer vision algorithms and techniques.

Circa 2019


Crime causes significant damage to the society and property. Different kinds of physical or direct methods are devised by the law and order department to spot out the criminals involved in the crime. This techniques will explore the evidences at crime site. For instance if it finds a fingerprint then the system will capture and send it to forensic department for fingerprint matching, which can be later used for identifying the suspects or criminals by investigations etc. Yet, it is a huge challenge for them to find the criminal due to less or no evidence and incorrect information, which can change the direction of investigation to the end. This paper proposes a data analysis approach to help the police department by giving them first-hand information about the suspects. It automates the manual process for finding criminal and future crime spot by using various techniques such as pattern matching, biometric and crime analytics. Based on the availability of information, the system is able to produce the expected accuracy.