With apologies to said chicks for unnecessary specificity, there's no better way to enjoy giant robots than in video game form. And one of the best giant robot games ever made, Titanfall 2, is on sale today for just three greenbacks. I've poured out my love for this game and its predecessor before, bemoaning the fact the publisher EA and developer Respawn seem to have abandoned it in favor of Star Wars and battle royale. But to save you some reading time: it has a fantastic single-player campaign that's worth the price of admission alone. Fast-paced, parkour-infused FPS action in "pilot" mode contrasts with stomping around in your robot pal for big action set pieces. The sci-fi buddy cop story is decent and the level design is occasionally jaw-dropping.

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. The sprint to develop LinkedIn's recently released generative AI tools took only three months, Ya Xu, VP of engineering and head of data and artificial intelligence (AI), told VentureBeat in an interview. The timeline, she said, was "unprecedented" for a large company like LinkedIn, given the many changes engineering and product teams implemented based on OpenAI's latest GPT models, including ChatGPT and GPT-4, as well as some open-source models. These include generative AI-powered collaborative articles, job descriptions and personalized writing suggestions for LinkedIn profiles. For example, she explained, her teams were able in just one month to generate job descriptions automatically and serve live traffic.

"Today that mega-system, called Selene, has its own robot attendant and is driving AI forward in automotive, healthcare and natural-language processing." Assembling supercomputers take years to build. It requires many service personnel working round the clock for many months to deliver a commission. But, beating all odds, NVIDIA claims to have built its supercomputer within three weeks. Not only did NVIDIA assemble a mammoth of a computer in a short time but also have broken records in the recently conducted MLPerf benchmark tests.

Have you ever wondered about this concept called Mind reading? It might be a myth right. But a team of scientists led by neurosurgeon Edward Chang of University of California, San Francisco (UCSF) has developed an Artificial Intelligence (AI) that can converts someone's brain thoughts into text. Their study was published in Nature Neuroscience. In the study, in which four patients with epilepsy wore the implants to monitor seizures caused by their medical condition, the UCSF team ran a side experiment: having the participants read and repeat a number of set sentences aloud, while the electrodes recorded their brain activity during the exercise.

You wrote a Python script that trains and evaluates your machine learning model. Now, you would like to automatically tune hyperparameters to improve its performance? In this article, I will show you how to convert your script into an objective function that can be optimized with any hyperparameter optimization library. It will take just 3 steps and you will be tuning model parameters like there is no tomorrow. Take the parameters that you want to tune and put them in a dictionary at the top of your script.

Striking the right balance between robot autonomy and human control is a core challenge in social robotics, in both technical and ethical terms. On the one hand, extended robot autonomy offers the potential for increased human productivity and for the off-loading of physical and cognitive tasks. On the other hand, making the most of human technical and social expertise, as well as maintaining accountability, is highly desirable. This is particularly relevant in domains such as medical therapy and education, where social robots hold substantial promise, but where there is a high cost to poorly performing autonomous systems, compounded by ethical concerns. We present a field study in which we evaluate SPARC (supervised progressively autonomous robot competencies), an innovative approach addressing this challenge whereby a robot progressively learns appropriate autonomous behavior from in situ human demonstrations and guidance. Using online machine learning techniques, we demonstrate that the robot could effectively acquire legible and congruent social policies in a high-dimensional child-tutoring situation needing only a limited number of demonstrations while preserving human supervision whenever desirable. By exploiting human expertise, our technique enables rapid learning of autonomous social and domain-specific policies in complex and nondeterministic environments. Last, we underline the generic properties of SPARC and discuss how this paradigm is relevant to a broad range of difficult human-robot interaction scenarios.

A semi-autonomous Tesla car involved in a headline-making crash in Utah this month increased in speed by almost 10 kph just seconds before it smashed into a firetruck stopped at a red light. A police report of the incident says the electric Tesla Model S was on semi-autonomous Autopilot mode when it sped up from 55 mph (89 kph) to 60 mph (97 kph) in just 3.5 seconds before it hit the truck. Tesla CEO Elon Musk, who issued a scathing attack on media credibility yesterday, has been vocal against those who criticize Tesla cars, despite growing concern about their safety. Both drivers of the Tesla and firetruck were left injured in the accident that has raised more concerns over the safety of Elon Musk's vehicles Police understand the Tesla was initially travelling at 55 mph (89 kph) to match the speed of another vehicle that may have changed lane, according to a report seen by Associated Press. It is thought the car then automatically sped up to its preset of 60 mph (97 kph) without noticing the stopped cars ahead of it.