Toggle light / dark theme

The algorithm combines classical beam physics equations with machine-learning techniques to reduce the need for extensive data processing.

When the linear accelerator at SLAC National Accelerator Laboratory is operational, groups of approximately one billion electrons travel through metal pipes at almost the speed of light. These electron groups form the accelerator’s particle beam, which is utilized to investigate the atomic behavior of molecules, innovative materials, and numerous other subjects.

However, determining the actual appearance of a particle beam as it moves through an accelerator is challenging, leaving scientists with only a rough estimate of how the beam will behave during an experiment.

Artificial intelligence (AI) has become commonplace, and quantum computing is set to alter the landscape radically. The potential of quantum computers to process vast amounts of data at unprecedented speeds could render existing AI chatbots, such as ChatGPT, obsolete.

The intricacies of quantum computing intertwine with understanding the evolution of artificial intelligence. This journey reveals the convergence of two transformative technologies, uncovers challenges, opens opportunities, and underscores the vital role of safeguarding innovations through patent law.

Artificial intelligence has surged forward in recent years, developing sophisticated AI chatbots like OpenAI’s ChatGPT.

This post is also available in: he עברית (Hebrew)

Robert William, who was wrongfully identified by an AI algorithm and subsequently arrested, is suing the Detroit Police Department for the traumatizing experience he and his family had experienced.

Back in January of 2020, Robert Williams, a Black man, was arrested in front of his wife and children for a robbery committed at a Shinola store in 2018.

Meta on Wednesday warned that hackers are using the promise of generative artificial intelligence like ChatGPT to trick people into installing malicious code on devices.

Over the course of the past month, analysts with the social-media giant have found malicious software posing as ChatGPT or similar AI tools, chief information security officer Guy Rosen said in a briefing.

“The latest wave of malware campaigns have taken notice of generative AI technology that’s been capturing people’s imagination and everyone’s excitement,” Rosen said.

One of the most incredible talks I have seen in a long time. Geoffrey Hinton essentially tells the audience that the end of humanity is close. AI has become that significant. This is the godfather of AI stating this and sounding an alarm.

His conclusion: “Humanity is just a passing phase for evolutionary intelligence.”

Recap here:

“Humanity is just a passing phase for evolutionary intelligence.”

With permission from MIT Technology Review’s EmTech Digital, May 3, 2023.

A new algorithm developed by Chinese company Baidu Research is dramatically faster than prior methods and shown to boost the antibody response of mRNA vaccines by up to 128 times.

Baidu Research is the research arm of Baidu, one of the largest technology companies in China. Established in 2014, it has since then been involved in various research activities such as natural language processing (NLP), machine learning, computer vision, robotics, and other areas of artificial intelligence.

Scientists have invented a simple metallic coating treatment for clothing or wearable textiles, which can repair itself, repel bacteria, and even monitor a person’s electrocardiogram (ECG) heart signals.

This is according to a press release by Flinders University published last month.

The inventors of the new coating say the conductive circuits created by liquid metal (LM) particles can transform wearable electronics due to the fact that the ‘breathable’ electronic textiles have special connectivity powers to ‘autonomously heal’ themselves even when cut.

Language and speech are how we express our inner thoughts. But neuroscientists just bypassed the need for audible speech, at least in the lab. Instead, they directly tapped into the biological machine that generates language and ideas: the brain.

Using brain scans and a hefty dose of machine learning, a team from the University of Texas at Austin developed a “language decoder” that captures the gist of what a person hears based on their brain activation patterns alone. Far from a one-trick pony, the decoder can also translate imagined speech, and even generate descriptive subtitles for silent movies using neural activity.

Here’s the kicker: the method doesn’t require surgery. Rather than relying on implanted electrodes, which listen in on electrical bursts directly from neurons, the neurotechnology uses functional magnetic resonance imaging (fMRI), a completely non-invasive procedure, to generate brain maps that correspond to language.