Google executives may be fearing the worst once again as Microsoft-backed rival OpenAI launches a new AI-powered search tool. 'SearchGPT', which is being trialed as a prototype before a wider rollout, scours the web for live news and information just like Google Search. OpenAI says the new product is particularly useful for queries about current events, recent developments, or specific information that ChatGPT might not know. Social media users have noted the parallels with the world's biggest search engine, with one saying'Google Search is definitely in trouble'. Another said: 'Anyone who has been paying attention knows there will be a new king of search within 10 years.

CES 2024 may not have officially started yet, but the news is already in full swing. The show's official dates are January 9th to 12th, with the 8th usually being a day of press conferences ahead of the convention centers opening to attendees. Which makes this… Day 0 of CES 2024. The announcements on this day usually gives us an idea of what to expect for the rest of the week, and this year we're already seeing some emerging trends. Samsung and LG both brought us transparent display tech, we saw a slew of pet and kitchen gadgets, while vibrating and massage chairs have taken over the showfloor.

I've been playing around with ChatGPT for a few days. It's the new artificial intelligence product, released 10 days ago by OpenAI, that answers questions and has taken the tech world by storm (you can find it here and it's free to use, at least for now). My interest was piqued by this tweet from a senior research engineer at Microsoft, Shital Shah: "ChatGPT was dropped on us a bit over 24 hours. It's like you wake up to the news of first nuclear explosion and you don't know what to think about it but you know the world will never be the same again." Someone tweeted "Google is dead #ChatGPT", and someone else wrote: "ChatGPT writes and thinks much better than the average college student IMO -- it def undermines the purpose of the assignment."

Too much of it kills you." A new report by Data Bridge Market Research analyses the global Artificial Intelligence (AI) in drug discovery market and forecasts that is expected to reach the value of USD 24,618.25 million by 2029, at a CAGR of 53.3% during the forecast period. The start of the world's first Phase 1 clinical trial of a drug developed from scratch using AI was announced by Insilico Medicine. "At the core of this issue is the complexity of human biology. After decades of molecular biology research, we're lucky if we know 5% of the circuitry of human disease." Just to give you a perspective, this is just the 5% of a simplified view of the brain's circuitry (for more about AI neuroscience news): Owkin's CEO Dr. T Clozel (his parents were the founders of Switzerland's Actelion), is intent on using AI to usher in a new era of drug development, by accessing data at scale with federated learning to preserve patient privacy and data security, and by creating an interpretable AI to answer a broad range of research questions. Last September rapid diagnostic solutions for breast and colorectal cancer from Owkin have been granted approval for use, while this month Sanofi's chief dealmaker (Alban de La Sablière) heads to Owkin as CBO, and all these after Owkin secured $80 million from Bristol Myers Squibb last year and a total raised to over $300 million. The Chicago-based Tempus (@TempusLabs), that specialises in AI and precision medicine and has one of the world's largest libraries of clinical and molecular data, announced this week it raised $275 million through equity from previous investors and debt financing from Ares Management (so far the company has raised over $1.3 billion). And also this month GSK announced that expanded its collaboration with Tempus to improve clinical trial design, speed up enrolment and identify drug targets. "This collaboration will provide GSK with unique insights to discover better medicines and transform drug discovery.

After growing a man-made intelligence that may obtain superhuman mastery of video games like chess and go, along with one other AI that may predict how proteins fold themselves in three-dimensional area, the researchers over at DeepMind have completed it once more -- this time utilizing a deep studying AI mannequin to effectively clear up a elementary arithmetic downside, whereas beating a 50-year-old document besides. In a weblog put up from earlier this month, the DeepMind group introduces AlphaTensor, an AI system that's designed for locating new and extra environment friendly algorithms for fixing essential mathematical operations -- on this case, matrix multiplication. Whether they're used to course of or compress pictures or video, recognizing spoken instructions, or working simulations to foretell the climate, matrix multiplication underpins a lot of recent computing. So it's little surprise that consultants and firms everywhere in the world are continuously in search of extra environment friendly methods to enhance the algorithms for fixing these mathematical operations behind such duties. Matrix multiplication is without doubt one of the easiest mathematical operations in algebra, the place particular person numbers which might be organized in grids -- or matrices -- are multiplied collectively after which added in particular manner with the intention to generate a new matrix.

How does artificial intelligence learn? Machine learning is the process of using computers to detect patterns in a large number of data sets, and then make predictions based on what the computer learns from these patterns. This makes machine learning a specific and narrow artificial intelligence. Fully artificial intelligence involves machines that can perform the thinking capabilities of humans and intelligent animals, such as perception, learning, and problem-solving. All machine learning is based on algorithms.

The moment that sports fans around the world have been waiting for is almost here, with the Tokyo 2020 Olympics finally kicking off today. With over 200 countries and regions competing across 33 sports and 46 disciplines, it can be hard to keep up with all the latest news. Thankfully, Amazon has your back, and has equipped its smart assistant, Alexa, with facts to give users quick and easy access to the latest news and successes throughout the games. 'Alexa, what's Team GB's Olympics update?' 'Alexa, what's Team Ireland's Olympics update?' 'Alexa, which country has the most gold meals?' 'Alexa, who is the athlete of the day?' Users of Alexa-enabled devices can ask the smart assistant a range of questions, including'Alexa, which country has the most gold medals?', and receive answers almost immediately. Amazon explained: 'Following the Olympics Opening Ceremony on Friday 23rd July, Alexa will give customers the low down on Team GB, Team Ireland, ParalympicsGB and Paralympics Ireland athletes competing at the Tokyo 2020 Olympic and Paralympic Games this year.

With data science and artificial intelligence evolving on a daily basis, the magnitude of information it generates can sometimes be challenging to keep pace with. And that's why all these data science news websites and blogs come with their newsletter that continually churns out relevant and significant information for readers. An excellent form of curated content, newsletters can be extremely informative and insightful for data science professionals, students as well as business leaders. These weekly newsletters provide updated trends of the industry, latest news, different methodologies as well as information on new technologies that can be an exciting learning resource for many. Further, with such a vast amount of information, it is critical for all to stay away from clickbait as well as fake news, and these newsletters can be the perfect rescue for the same.

Here is my list of the best websites for Machine Learning (ML) and Data Science to follow for valuable resources and news.

A unit increase in artificial intelligence (AI) intensity by Indian firms can result in a 2.5% increase in India's GDP in the immediate term, claims report launched by National Association of Software and Services Companies (NASSCOM) in collaboration with Google and think tank ICRIER. The research findings are from a study titled "Implications of AI on the Indian Economy." AI intensity is measured as the ratio of AI to total sales of the firm. In the absence of a direct measure of AI at the firm level, the model uses investments in software, databases and computer machinery as a proxy for AI. The results of the model find a positive and significant relation between AI using firms and growth in total factor productivity (TFP), said the organisations. However, as per the study, the current rate of growth in AI investments is unlikely to increase the levels of AI intensity adequately.